Leading Applications to Create Fast Motion in iPhone

Fast motion has always been a time saver since it covers the unnecessary details in seconds. Acquiring this skill is important if you are a content creator or videographer. You might already be aware of how to make fast-motion videos on iPhone.

However, if this is unheard of or you are new to video editing, we’ve got you covered. This article covers the ins and outs of how to make a video fast-motion iPhone. In addition, users can gain insights into some applications and their guides. Moreover, we’ll discuss an AI alternative to those applications.

Slow Motion Video Maker Slow your video’s speed with better control of your keyframes to create unique cinematic effects!

Make A Slow Motion Video Make A Slow Motion Video More Features

Part 1: What are the Different Use Cases of Fast-Motion Videos?

The fast motion effect covers multiple creative ways of speed increase that you can incorporate. All these ways apply to different genres of videos. This section diverts your focus on different use cases of fast-motion videos. Here is how to make video fast motion on iPhone for different purposes:

1. Construction and Development Videos

Fast-motion videos help in video creation where development is happening. Such videos show the before and after results of an area, location, or building. The construction or manufacturing process is shown in fast motion in engineering videos. It also helps in showing the transformation of a non-populated or undeveloped city.

2. Nature Photography or Documentaries

Natural phenomenon like the blooming of a flower usually occurs at a slower rate. Capturing them takes a long time, but the audience may not like such a long duration. Hence, editors can increase the speed of such videos to speed up the phenomenon. In addition, if you watch wildlife or nature documentaries, they also use this effect.

3. Aesthetic Expression

Fast-paced videos bring a sense of creativity to your videos as they are an artistic expression of time. To indicate the passing of time in movies or to show a scene at a railway station or airport. It also indicates that the filmmakers and editors have put in an effort.

Part 2: Different Tools to Help You Make Fast Motion Video on iPhone

Fast-motion tools are important in video editing since they offer a chance at creativity. They have a wide range of applications in the filmmaking and media industry. Do you know how to make a video fast-motion iPhone using a third-party application? If not, here is a detailed guide on some of them:

• iMovie
• Video Speed Changer – Editor
• Slow Motion Video FX Edit

1. iMovie

If you are looking for an accessible application with an easy-to-use interface, this is for you. The process of speed manipulation consists of a slider for control. After editing, you can integrate multiple soundtracks from 130 pre-assembled tracks. The application is compatible with iPhone X and newer versions.

Steps to Create a Fast Motion Video Using iMovie

Do you want to learn how to make fast-motion videos on your iPhone with this application? Given Below is your perfect guide to crafting a fast-paced video:

Step 1: After downloading the application on your iPhone, access it and “Start New Project.” Then, select a video from your media library to edit.

Step 2: After importing the video, click the “Pen” icon to access editing options. Then, click the “Edit Clip” option to do so.

Step 3: Move to the bottom of the screen and slide the given option to access “Speed.” Click it and drag the speed slider towards the right side to increase the speed of the video.

Step 4: Hit the “Play” button to see the speed of the video and re-adjust if required. Go to the top right corner of the screen, locate the “Export” icon, and click it.

2. Video Speed Changer – Editor

Want to learn how to make video fast motion on iPhone without additional technicalities? This application ensures a comprehensive narrative just for speed change. Users can formulate 3 fast motion effects with it at specific frames. For pre-recorded or new videos, it offers Time Wrap, Time Lapse, and Hyper-lapse. The application has been found to support iOS 12.3 and later versions.

Steps to Create a Fast Motion Video Using Video Speed Changer

Multiple applications provide similar services, but none can compare to its UI. Here is how to make a video fast motion iPhone using this

Step 1: Access this application from the App Store and launch it after installation. Click on the “Select Video” button and import a clip.

Step 2: Once you have selected a video, it will take you straight to the speed change option. Change the position of the given slider. Finally, preview the video and click the “Save Video” button to save it on your device.

3. Slow Motion Video FX Edit

Although the name indicates otherwise, this video editor is capable of high-speed change. It comes with an intuitive user interface and is easy for anyone to employ. In addition to speed alteration, you can insert 40 different filters into your video. You can also commence its freeze frame action to add an extra layer of creativity. The tool is compatible with iOS 13.0 and higher versions.

Steps to Create Fast Motion Using Slow Motion Video FX

This is another editor to gain insights on how to make fast-motion videos on an iPhone. We have given the verified step-by-step guide to using this app:

Step 1: After launching this application, click the “Choose From Library” option. Then, select a clip from your device’s gallery.

Step 2: Once the video is compressed, you’ll be taken to the speed change screen. From there, you can alter the speed of different clip sections. Move the slider of the relevant section upward to increase the speed.

Step 3: Once you have altered the speed, navigate towards the top right corner and click the “Export” icon.

Part 3: Desktop Solution: Remedy for Those Who Want to Speed Up Video on Their Computer

If you have gone through the above applications, you know the fast-motion effect. Do you want to know how to make a video fast motion on an iPhone using a computer? Wondershare Filmora is the best alternative to the above applications for creating this effect. The software is compatible with all the macOS and iOS devices and allows seamless editing.

With this editor, you get multiple options to create a fast-motion video. In this article, we will use the Uniform Speed feature. The operating process is very accessible and designed to assist both professionals and beginners. You can also apply the AI Frame Interpolation option to apply “Frame Bending.”

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Step-by-Step Guide to Speed Up Video with Filmora

After reading the article till now, you have gained knowledge of Filmora’s speeding options. How to make fast motion video on iPhone now seems like an easy option. Even though the process is easy, we want you to stay ahead. Hence, here is a step-by-step procedure for creating fast motion in Filmora:

Step 1Create a New Project and Import Media

First, connect your iOS device to your Wondershare Filmora device. After that, launch Filmora to access the main menu. From there, click on the “New Project” tab fashioned in the center. Expand the “Import” option in the Project Media section and select the suitable option. In this case, choose the “Import from Phone or Camera” option.

Step 2Access the Uniform Speed Section

After bringing the imported media to the timeline, select it to access the settings panel. Select the “Speed > Uniform Speed” tab from the appeared panel. Then, drag the Speed slider on the right side to increase speed. Afterward, click the “Play” button on the preview screen to see the results.

Step 3Apply Frame Bending and Export

This part is optional, but if you find an irregularity or roughness to the video, apply this. Go to the “AI Frame Interpolation” section at the bottom and expand the options. From the dropdown menu, select the “Frame Bending” option and do the rendering from the timeline. After everything is set, select the “Export” button at the top right corner.

Trending Video Editing Features of Wondershare Filmora

Filmora is a versatile tool that is not confined to speed manipulation or fast motion only. This editor offers audio, text, AI editing options, and video. Here are some prominent key features of Wondershare Filmora to help you in editing:

1. Speed Ramping

The other option for speed modification mentioned previously is speed ramping. This option comes with 6 editable speed change presets for automated editing. However, you can also employ the custom preset to create your own way. Moreover, it allows the audio pitch option to enable automated maintenance of audio.

2. AI Smart Cutout

There is more than one way of removing and replacing a background in Filmora. Smart Cutout offers an AI-integrated masking option to cut out the selected parts. You can also set preferences for Edge Thickness or Edge Feather for accuracy. Afterward, you can introduce three background options: color, grid, or more.

3. AI Text-to-Video

Bring your imagination to visuals with this amazing generative AI video creator. It creates videos from text and covers the voice and graphical elements. Users can customize the AI voice and ratio before generating a video. The prompt section offers up to 1000 characters for adding a script or giving directions.

4. AI Smart Masking

Are there any effects or filters you want to introduce to only a specific part of the video? Use Filmora’s AI mask for automated masking of an object or background. The mask brush selects the relevant area on its own. Besides AI masks, there is a manual masking option or mask shapes to apply. You can also customize the Brush size according to the video.

Conclusion

The article highlighted the importance of increasing video speed in many industries. In addition, we discussed some tools that make fast motion with ease. We also provided step-by-step guides on how to make fast motion video on iPhone. Wondershare Filmora stands amongst all those applications to create fast motion. We recommend this software due to its multiple functionalities and detailed editing abilities.

Make A Slow Motion Video Make A Slow Motion Video More Features

Part 1: What are the Different Use Cases of Fast-Motion Videos?

The fast motion effect covers multiple creative ways of speed increase that you can incorporate. All these ways apply to different genres of videos. This section diverts your focus on different use cases of fast-motion videos. Here is how to make video fast motion on iPhone for different purposes:

1. Construction and Development Videos

Fast-motion videos help in video creation where development is happening. Such videos show the before and after results of an area, location, or building. The construction or manufacturing process is shown in fast motion in engineering videos. It also helps in showing the transformation of a non-populated or undeveloped city.

2. Nature Photography or Documentaries

Natural phenomenon like the blooming of a flower usually occurs at a slower rate. Capturing them takes a long time, but the audience may not like such a long duration. Hence, editors can increase the speed of such videos to speed up the phenomenon. In addition, if you watch wildlife or nature documentaries, they also use this effect.

3. Aesthetic Expression

Fast-paced videos bring a sense of creativity to your videos as they are an artistic expression of time. To indicate the passing of time in movies or to show a scene at a railway station or airport. It also indicates that the filmmakers and editors have put in an effort.

Part 2: Different Tools to Help You Make Fast Motion Video on iPhone

Fast-motion tools are important in video editing since they offer a chance at creativity. They have a wide range of applications in the filmmaking and media industry. Do you know how to make a video fast-motion iPhone using a third-party application? If not, here is a detailed guide on some of them:

• iMovie
• Video Speed Changer – Editor
• Slow Motion Video FX Edit

1. iMovie

If you are looking for an accessible application with an easy-to-use interface, this is for you. The process of speed manipulation consists of a slider for control. After editing, you can integrate multiple soundtracks from 130 pre-assembled tracks. The application is compatible with iPhone X and newer versions.

Steps to Create a Fast Motion Video Using iMovie

Do you want to learn how to make fast-motion videos on your iPhone with this application? Given Below is your perfect guide to crafting a fast-paced video:

Step 1: After downloading the application on your iPhone, access it and “Start New Project.” Then, select a video from your media library to edit.

Step 2: After importing the video, click the “Pen” icon to access editing options. Then, click the “Edit Clip” option to do so.

Step 3: Move to the bottom of the screen and slide the given option to access “Speed.” Click it and drag the speed slider towards the right side to increase the speed of the video.

Step 4: Hit the “Play” button to see the speed of the video and re-adjust if required. Go to the top right corner of the screen, locate the “Export” icon, and click it.

2. Video Speed Changer – Editor

Want to learn how to make video fast motion on iPhone without additional technicalities? This application ensures a comprehensive narrative just for speed change. Users can formulate 3 fast motion effects with it at specific frames. For pre-recorded or new videos, it offers Time Wrap, Time Lapse, and Hyper-lapse. The application has been found to support iOS 12.3 and later versions.

Steps to Create a Fast Motion Video Using Video Speed Changer

Multiple applications provide similar services, but none can compare to its UI. Here is how to make a video fast motion iPhone using this

Step 1: Access this application from the App Store and launch it after installation. Click on the “Select Video” button and import a clip.

Step 2: Once you have selected a video, it will take you straight to the speed change option. Change the position of the given slider. Finally, preview the video and click the “Save Video” button to save it on your device.

3. Slow Motion Video FX Edit

Although the name indicates otherwise, this video editor is capable of high-speed change. It comes with an intuitive user interface and is easy for anyone to employ. In addition to speed alteration, you can insert 40 different filters into your video. You can also commence its freeze frame action to add an extra layer of creativity. The tool is compatible with iOS 13.0 and higher versions.

Steps to Create Fast Motion Using Slow Motion Video FX

This is another editor to gain insights on how to make fast-motion videos on an iPhone. We have given the verified step-by-step guide to using this app:

Step 1: After launching this application, click the “Choose From Library” option. Then, select a clip from your device’s gallery.

Step 2: Once the video is compressed, you’ll be taken to the speed change screen. From there, you can alter the speed of different clip sections. Move the slider of the relevant section upward to increase the speed.

Step 3: Once you have altered the speed, navigate towards the top right corner and click the “Export” icon.

Part 3: Desktop Solution: Remedy for Those Who Want to Speed Up Video on Their Computer

If you have gone through the above applications, you know the fast-motion effect. Do you want to know how to make a video fast motion on an iPhone using a computer? Wondershare Filmora is the best alternative to the above applications for creating this effect. The software is compatible with all the macOS and iOS devices and allows seamless editing.

With this editor, you get multiple options to create a fast-motion video. In this article, we will use the Uniform Speed feature. The operating process is very accessible and designed to assist both professionals and beginners. You can also apply the AI Frame Interpolation option to apply “Frame Bending.”

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Step-by-Step Guide to Speed Up Video with Filmora

After reading the article till now, you have gained knowledge of Filmora’s speeding options. How to make fast motion video on iPhone now seems like an easy option. Even though the process is easy, we want you to stay ahead. Hence, here is a step-by-step procedure for creating fast motion in Filmora:

Step 1Create a New Project and Import Media

First, connect your iOS device to your Wondershare Filmora device. After that, launch Filmora to access the main menu. From there, click on the “New Project” tab fashioned in the center. Expand the “Import” option in the Project Media section and select the suitable option. In this case, choose the “Import from Phone or Camera” option.

Step 2Access the Uniform Speed Section

After bringing the imported media to the timeline, select it to access the settings panel. Select the “Speed > Uniform Speed” tab from the appeared panel. Then, drag the Speed slider on the right side to increase speed. Afterward, click the “Play” button on the preview screen to see the results.

Step 3Apply Frame Bending and Export

This part is optional, but if you find an irregularity or roughness to the video, apply this. Go to the “AI Frame Interpolation” section at the bottom and expand the options. From the dropdown menu, select the “Frame Bending” option and do the rendering from the timeline. After everything is set, select the “Export” button at the top right corner.

Trending Video Editing Features of Wondershare Filmora

Filmora is a versatile tool that is not confined to speed manipulation or fast motion only. This editor offers audio, text, AI editing options, and video. Here are some prominent key features of Wondershare Filmora to help you in editing:

1. Speed Ramping

The other option for speed modification mentioned previously is speed ramping. This option comes with 6 editable speed change presets for automated editing. However, you can also employ the custom preset to create your own way. Moreover, it allows the audio pitch option to enable automated maintenance of audio.

2. AI Smart Cutout

There is more than one way of removing and replacing a background in Filmora. Smart Cutout offers an AI-integrated masking option to cut out the selected parts. You can also set preferences for Edge Thickness or Edge Feather for accuracy. Afterward, you can introduce three background options: color, grid, or more.

3. AI Text-to-Video

Bring your imagination to visuals with this amazing generative AI video creator. It creates videos from text and covers the voice and graphical elements. Users can customize the AI voice and ratio before generating a video. The prompt section offers up to 1000 characters for adding a script or giving directions.

4. AI Smart Masking

Are there any effects or filters you want to introduce to only a specific part of the video? Use Filmora’s AI mask for automated masking of an object or background. The mask brush selects the relevant area on its own. Besides AI masks, there is a manual masking option or mask shapes to apply. You can also customize the Brush size according to the video.

Conclusion

The article highlighted the importance of increasing video speed in many industries. In addition, we discussed some tools that make fast motion with ease. We also provided step-by-step guides on how to make fast motion video on iPhone. Wondershare Filmora stands amongst all those applications to create fast motion. We recommend this software due to its multiple functionalities and detailed editing abilities.

Mastering OpenCV Object Tracking: A Comprehensive Guide for Beginners and Experts

OpenCV Tracking is a popular method used for tracking objects in a video in real-time. OpenCV is a powerful library used for image processing and computer vision applications.

From real-time video analysis to Augmented Reality, OpenCV Tracking has a wide range of uses and can help both private and public sectors to detect and track the desired object in an image or video.

In this comprehensive guide, we’ll explore OpenCV Tracking and its pre-built trackers**.** We will use the OpenCV library and Python to implement this Object Tracking application.

1. SOT & MOT
2. The Difference Between Tracking And Detection

• Types Of Object Tracking

1. Image Tracking
2. Video Tracking

• What Are The Difficulties Of Object Tracking
• Stages Of The Object Tracking Process

1. Stages Of The Object Tracking Process
2. Methods Of Object Tracking

• The powerful backup: OpenCV

1. What Is OpenCV
2. The Pre-Built Algorithms OpenCV Offers For Object Tracking
3. Implementation In Python And OpenCV

Part 1. What Is Object Tracking?

Object Tracking determines the location of an object in a video and can be used for a variety of purposes, including surveillance, security, traffic control, digital forensics, anomaly detection, gesture recognition, visual surveillance, human-computer interaction, augmented reality, and robot vision.

Even though it may seem easy for an average person, object tracking is quite complex for computers because they have to analyze a set of frames and estimate the object’s trajectory based on numbers instead of images.

Because of how complicated it is, Object Tracking is considered one of the most difficult tasks in computer vision. Even though it’s a challenge, it’s not impossible to accomplish.

And there are two levels of Object Tracking that you should learn about:

1. SOT & MOT

1. Single Object Tracking (SOT): SOT is a tracking algorithm that creates advanced appearance models and/or motion models to manage difficult issues like out-of-plane rotations, illumination variations, or scale changes.
2. Multiple Object Tracking (MOT): MOT tracks every part of a video and is mainly concerned with mid-level tasks and serves as a foundation for high-level tasks.

2. The Difference Between Tracking And Detection

After knowing what Object Tracking is, there is another concept you should also be aware of - Object Detection.

The Object Tracking and Object Detection are two important methods in computer vision. Object Tracking tracks the position of a given object in an image in real-time, while Object Detection identifies and localizes objects in an image or video. That is the difference.

Part 2. Types Of Object Tracking

Image Tracking

Image tracking allows users to interact with digital content more naturally and helps users move and interact with digital objects in the same manner as they will with real-world physical objects.

Image tracking can be used in various augmented reality (AR) applications, such as AR gaming, shopping, and navigation. Moreover, you can also use it for educational purposes, such as teaching anatomy or providing instructions for a difficult task.

Video Tracking

Video tracking is the process of tracking objects in a video sequence and can be used for various applications, such as detecting and counting objects in a scene, understanding their motions, and recognizing activities.

Part 3. What Are The Difficulties Of Object Tracking?

As what has been mentioned above, the use of object tracking is versatile. However, there are some challenges associated with Object Tracking, such as:

Background Clutter: The background can impact extracting an object’s features. If the background is more densely populated, detecting or tracking the object of interest can be more difficult.

Occlusion: This is a phenomenon where the object being tracked is affected by the background or foreground. This causes the tracking algorithm to get confused due to multiple objects coming close together, hence, losing track of the object.

Varying spatial scales: Varying spatial scales refer to the target object being of a different size or shape, which can confuse the algorithm, leading to errors.

Training and Tracking Speed: If the object is moving too fast or is too small, it can be difficult to track. Therefore, the tracking module has to be designed to track, identify, and localize objects in a matter of seconds.

Part 4. Stages Of The Object Tracking Process

After the introduction of object tracking technically, let’s learn about its mechanism of it from two sides: periods of the working process and the way it tracks.

1. Stages Of The Object Tracking Process

Following are the stages of the Object Tracking process:

Target Initialization

Target initialization is the first step in Object Tracking and involves defining the targets or objects of interest and drawing a bounding box around them in the initial frame. After that, the tracker has to detect the position of the object in the frame while drawing the bounding box.

Appearance Modeling

Appearance modeling is important for understanding how an object will look under different circumstances. If the object being tracked changes appearance due to different lighting, angle, or speed, the tracking algorithm may lose its information and the object itself. Therefore, it has to be conducted to let the algorithm detect the changes and distortion.

Motion Estimation

Motion estimation entails the capacity of the model to anticipate an object’s future position with precision.

Target Positioning

Motion estimation is a process of approximating the most likely region where an object could be present. After the object’s location is approximated, a visual model can be used to determine the target’s location more accurately.

2. Methods Of Object Tracking

Here’re some methods of Object Tracking:

OpenCV-Based Object Tracking

OpenCV Object Tracking method is widely used because it offers several built-in functions designed specifically for this purpose, such as GOTURN, MIL, MediandFlow, and CSRT. The tracker type you select will depend on your specific application design. Each tracker has its pros and cons, so there is not a single type of tracker ideal for all applications.

MDNet

Multi-Domain Convolutional Neural Network Tracker is a convolutional neural-based visual tracker and has won the VOT2015 challenge. Moreover, it is composed of domain-specific layers, branches, and multiple shared layers.

The MDNetT tracker is a deep neural network that is trained on numerous Object Tracking datasets. The tracker is designed to work in multiple domains, including video, text, and images.

DeepSort

DeepSort algorithm can track objects in real-time and uses YOLO v3 to compute the bounding boxes around the objects in a frame.

DeepSort uses Kalman filter from Simple Online and Realtime Tracking algorithm and an identification model, ReID to interlink bounding boxes and object tracks.

ROLO

ROLO is a novel Object Tracking method that uses recurrent neural networks (RNNs) to learn object-specific Spatio-temporal representations. This method works with YOLO, an object detection algorithm, and an LTSM for determining the trajectory of an object.

Part 5. The powerful backup: OpenCV

We have demonstrated how powerful OpenCV Tracking is and how it works. However, do you wonder what OpenCV is? How it supports the tracking goals being achieved? In this part, we will focus on OpenCV and help you better understand the the underlying mechanisms.

1. What Is OpenCV?

OpenCV is a powerful library that allows you to perform image processing, deep learning, machine learning, and computer vision tasks on live video feeds. Moreover, it can be used to detect objects, track their movements, and recognize faces.

It can help process the data that have videos and images and has been used in various applications, such as object recognition and detection, autonomous cars, robots, medical image analysis, automated surveillance, and anomaly detection.

2. The Pre-Built Algorithms OpenCV Offers For Object Tracking

There are 8 pre-built algorithms that OpenCV offers for Objects Tracking. All of them have their uniquility and here we will present their pros and cons for your better understadning.

Tracker	Pros	Cons
BOOSTING Tracker	Track objects accurately.	Relatively slow. Unable to stop when an object is lost.
MIL Tracker	Strong resistance to noise. Gives accurate results.	Low speed. Unable to stop tracking once the object is lost.
KCF Tracker	High speed and accuracy. Stops tracking when the object is lost.	Inability to continue tracking objects once lost.
TLD Tracker	Resistance to overlapping and object scaling.	Unstable in object detection and tracking. Constantly loses object.
MEDIANFLOW Tracker	High accuracy and speed. Accurate in determining the object’s loss.	Loses object quickly due to high speed.
GOTURN Tracker	Shows resistance to obstructions and noise.	If the speed of an object is high, it shifts to another object.
MOSSE Tracker	Able to continue tracking after the object is lost. High speed.	Loses object easily if very high speed.
CSRT Tracker	Good resistance to overlapping. High accuracy.	Low speed. Unstable when an object is lost.

3. Implementation In Python And OpenCV

Now, after theoretical explanation of OpenCV and OpenCV Tracking, let’s learn Object Tracking OpenCV Python with coding and our simple and step-by-step instructions:

Install The Dependencies

Install the pycharm app on your PC, and launch it. Create a new project and go to Terminal. Install the opencv-contrib-python package by pasting the following command into the Terminal.

Set Up the Trackers

Now, create a Jupyter-notebook and set up the trackers with this code:

Tasks:

• cv2. version returns the OpenCV library version number.
• Save the name of the eight trackers.
• Check the list for the version you are working on and create a tracker object based on the number.

Capture The Video Input

For capturing the video input, write the following lines of code:

Tasks:

• Use the VideoCapture class to capture a video via the webcam or get a saved one from your PC.
• In VideoCapture - line 2, give the path to your video.
• Comment on the second line to use the webcam for tracking and uncomment the third one.

Creating The Bounding Box And Initializing The Tracker

Define an initial random bounding box or select the choices for the object you want to track with the following code:

Start The Tracker And Check The Output

Finally, write the below code lines to start the tracker:

Tasks

• Read each video frame.
• Start the timer and, through the tracker, determine the trajectory of the object.
• Use the trajectory to draw the bounding box.
• The program will start tracking. Afterward, press the space bar to stop tracking.

Video – Object Tracking with Opencv and Python

Conclusion

In this article, we’ve discussed Object Tracking in detail and how it compares with Object Detection. Furthermore, we explored the methods used for tracking objects and provided complete guidance on the OpenCV Tracking method and its built-in functionalities.

Hopefully, you find this guide helpful, and you can now track objects in real-time without any issues.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

• Image Tracking
• Video Tracking
• What Are The Difficulties Of Object Tracking
• Stages Of The Object Tracking Process

1. Stages Of The Object Tracking Process
2. Methods Of Object Tracking

• The powerful backup: OpenCV

1. What Is OpenCV
2. The Pre-Built Algorithms OpenCV Offers For Object Tracking
3. Implementation In Python And OpenCV

Part 1. What Is Object Tracking?

Object Tracking determines the location of an object in a video and can be used for a variety of purposes, including surveillance, security, traffic control, digital forensics, anomaly detection, gesture recognition, visual surveillance, human-computer interaction, augmented reality, and robot vision.

Even though it may seem easy for an average person, object tracking is quite complex for computers because they have to analyze a set of frames and estimate the object’s trajectory based on numbers instead of images.

Because of how complicated it is, Object Tracking is considered one of the most difficult tasks in computer vision. Even though it’s a challenge, it’s not impossible to accomplish.

And there are two levels of Object Tracking that you should learn about:

1. SOT & MOT

1. Single Object Tracking (SOT): SOT is a tracking algorithm that creates advanced appearance models and/or motion models to manage difficult issues like out-of-plane rotations, illumination variations, or scale changes.
2. Multiple Object Tracking (MOT): MOT tracks every part of a video and is mainly concerned with mid-level tasks and serves as a foundation for high-level tasks.

2. The Difference Between Tracking And Detection

After knowing what Object Tracking is, there is another concept you should also be aware of - Object Detection.

The Object Tracking and Object Detection are two important methods in computer vision. Object Tracking tracks the position of a given object in an image in real-time, while Object Detection identifies and localizes objects in an image or video. That is the difference.

Part 2. Types Of Object Tracking

Image Tracking

Image tracking allows users to interact with digital content more naturally and helps users move and interact with digital objects in the same manner as they will with real-world physical objects.

Image tracking can be used in various augmented reality (AR) applications, such as AR gaming, shopping, and navigation. Moreover, you can also use it for educational purposes, such as teaching anatomy or providing instructions for a difficult task.

Video Tracking

Video tracking is the process of tracking objects in a video sequence and can be used for various applications, such as detecting and counting objects in a scene, understanding their motions, and recognizing activities.

Part 3. What Are The Difficulties Of Object Tracking?

As what has been mentioned above, the use of object tracking is versatile. However, there are some challenges associated with Object Tracking, such as:

Background Clutter: The background can impact extracting an object’s features. If the background is more densely populated, detecting or tracking the object of interest can be more difficult.

Occlusion: This is a phenomenon where the object being tracked is affected by the background or foreground. This causes the tracking algorithm to get confused due to multiple objects coming close together, hence, losing track of the object.

Varying spatial scales: Varying spatial scales refer to the target object being of a different size or shape, which can confuse the algorithm, leading to errors.

Training and Tracking Speed: If the object is moving too fast or is too small, it can be difficult to track. Therefore, the tracking module has to be designed to track, identify, and localize objects in a matter of seconds.

Part 4. Stages Of The Object Tracking Process

After the introduction of object tracking technically, let’s learn about its mechanism of it from two sides: periods of the working process and the way it tracks.

1. Stages Of The Object Tracking Process

Following are the stages of the Object Tracking process:

Target Initialization

Target initialization is the first step in Object Tracking and involves defining the targets or objects of interest and drawing a bounding box around them in the initial frame. After that, the tracker has to detect the position of the object in the frame while drawing the bounding box.

Appearance Modeling

Appearance modeling is important for understanding how an object will look under different circumstances. If the object being tracked changes appearance due to different lighting, angle, or speed, the tracking algorithm may lose its information and the object itself. Therefore, it has to be conducted to let the algorithm detect the changes and distortion.

Motion Estimation

Motion estimation entails the capacity of the model to anticipate an object’s future position with precision.

Target Positioning

Motion estimation is a process of approximating the most likely region where an object could be present. After the object’s location is approximated, a visual model can be used to determine the target’s location more accurately.

2. Methods Of Object Tracking

Here’re some methods of Object Tracking:

OpenCV-Based Object Tracking

OpenCV Object Tracking method is widely used because it offers several built-in functions designed specifically for this purpose, such as GOTURN, MIL, MediandFlow, and CSRT. The tracker type you select will depend on your specific application design. Each tracker has its pros and cons, so there is not a single type of tracker ideal for all applications.

MDNet

Multi-Domain Convolutional Neural Network Tracker is a convolutional neural-based visual tracker and has won the VOT2015 challenge. Moreover, it is composed of domain-specific layers, branches, and multiple shared layers.

The MDNetT tracker is a deep neural network that is trained on numerous Object Tracking datasets. The tracker is designed to work in multiple domains, including video, text, and images.

DeepSort

DeepSort algorithm can track objects in real-time and uses YOLO v3 to compute the bounding boxes around the objects in a frame.

DeepSort uses Kalman filter from Simple Online and Realtime Tracking algorithm and an identification model, ReID to interlink bounding boxes and object tracks.

ROLO

ROLO is a novel Object Tracking method that uses recurrent neural networks (RNNs) to learn object-specific Spatio-temporal representations. This method works with YOLO, an object detection algorithm, and an LTSM for determining the trajectory of an object.

Part 5. The powerful backup: OpenCV

We have demonstrated how powerful OpenCV Tracking is and how it works. However, do you wonder what OpenCV is? How it supports the tracking goals being achieved? In this part, we will focus on OpenCV and help you better understand the the underlying mechanisms.

1. What Is OpenCV?

OpenCV is a powerful library that allows you to perform image processing, deep learning, machine learning, and computer vision tasks on live video feeds. Moreover, it can be used to detect objects, track their movements, and recognize faces.

It can help process the data that have videos and images and has been used in various applications, such as object recognition and detection, autonomous cars, robots, medical image analysis, automated surveillance, and anomaly detection.

2. The Pre-Built Algorithms OpenCV Offers For Object Tracking

There are 8 pre-built algorithms that OpenCV offers for Objects Tracking. All of them have their uniquility and here we will present their pros and cons for your better understadning.

Tracker	Pros	Cons
BOOSTING Tracker	Track objects accurately.	Relatively slow. Unable to stop when an object is lost.
MIL Tracker	Strong resistance to noise. Gives accurate results.	Low speed. Unable to stop tracking once the object is lost.
KCF Tracker	High speed and accuracy. Stops tracking when the object is lost.	Inability to continue tracking objects once lost.
TLD Tracker	Resistance to overlapping and object scaling.	Unstable in object detection and tracking. Constantly loses object.
MEDIANFLOW Tracker	High accuracy and speed. Accurate in determining the object’s loss.	Loses object quickly due to high speed.
GOTURN Tracker	Shows resistance to obstructions and noise.	If the speed of an object is high, it shifts to another object.
MOSSE Tracker	Able to continue tracking after the object is lost. High speed.	Loses object easily if very high speed.
CSRT Tracker	Good resistance to overlapping. High accuracy.	Low speed. Unstable when an object is lost.

3. Implementation In Python And OpenCV

Now, after theoretical explanation of OpenCV and OpenCV Tracking, let’s learn Object Tracking OpenCV Python with coding and our simple and step-by-step instructions:

Install The Dependencies

Install the pycharm app on your PC, and launch it. Create a new project and go to Terminal. Install the opencv-contrib-python package by pasting the following command into the Terminal.

Set Up the Trackers

Now, create a Jupyter-notebook and set up the trackers with this code:

Tasks:

• cv2. version returns the OpenCV library version number.
• Save the name of the eight trackers.
• Check the list for the version you are working on and create a tracker object based on the number.

Capture The Video Input

For capturing the video input, write the following lines of code:

Tasks:

• Use the VideoCapture class to capture a video via the webcam or get a saved one from your PC.
• In VideoCapture - line 2, give the path to your video.
• Comment on the second line to use the webcam for tracking and uncomment the third one.

Creating The Bounding Box And Initializing The Tracker

Define an initial random bounding box or select the choices for the object you want to track with the following code:

Start The Tracker And Check The Output

Finally, write the below code lines to start the tracker:

Tasks

• Read each video frame.
• Start the timer and, through the tracker, determine the trajectory of the object.
• Use the trajectory to draw the bounding box.
• The program will start tracking. Afterward, press the space bar to stop tracking.

Video – Object Tracking with Opencv and Python

Conclusion

In this article, we’ve discussed Object Tracking in detail and how it compares with Object Detection. Furthermore, we explored the methods used for tracking objects and provided complete guidance on the OpenCV Tracking method and its built-in functionalities.

Hopefully, you find this guide helpful, and you can now track objects in real-time without any issues.

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Adding a Spooky Shadow Effect with Filmora

Wondershare Filmora’s main purpose is the empowerment of content creators. The latest updates to the program are one of the pieces of evidence.

Whether you’re a horror content creator or simply living the Halloween vibe 24/7, continue reading to know how to use its latest masking feature to create a cool shadow effect for your next mind-blowing social media video.

How to Use The Masking Effect

Wondershare Filmora’s latest Masking feature allows its users to select a specific clip that they can overlay on other parts of the video or other clips.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

The feature allows you to insert the mask in any shape, such as a rectangle, circle, or triangle. You can also import any shapes you like if you can’t find them in the presets library. You can also adjust the mask placement, width, height, and feather effect.

Without further ado, let’s see the detailed step-by-step guide for this effect.

a. Preparation

You will need at least three shots of the same frame to get the shadow effect to work. The first is the main video, the second is the shadow clip, and the last would be a clip portraying just a plain background.

Make sure that your camera stays at the same point and angle. You can use a tripod for assurance.

Take the first main video and don’t forget to mark the positioning of the object for the next take. Then, you can shoot the shadow clip following the marking of the object to match its position in the main clip.

Finally, shoot the final clip without the object on the frame.

b. Steps to add the shadow effect to your videos using Masking

Step 1: Place the main clip on the timeline and find the start of the segment that you want to use. Press M on the keyboard to set a marker.

Step 2: Place the shadow clip on top of the main clip on the timeline. Trim and adjust until the shadow clip ends right at the marker of the main clip.

Step 3: Move the play head to the start of the shadow clip. Trim the main clip right on that mark so both clips have the same start by clicking the scissor icon and deleting the unused part.

Step 4: Double-click the shadow clip. OpenSettings > Mask Section > Rectangle to apply the mask. Adjust the blur strength to smooth out the edge.

Step 5: Play the result to see if there’s any part you need to block out. When you find them, repeat steps 1 to 4 but with the background clip. Try to conceal all things you need to hide using the masks. Make sure that you get the timings right.

Step6 Trim the length of the masking clips to match the main clip by sliding the play head and clicking the Split button.

Adjust the audio and preview the effect before you save the result. You can also add extra features like slow motion for maximum effect.

Summary

It is so easy to use this shadow effect on your video using Wondershare Filmora. The handy masking feature also comes with additional keyframe control and easy composite adjustment.

Wondershare Filmora is also packed with other powerful new features. This includes Auto Beat Sync, Speed Ramping, Quick Split Mode, and the upgraded Denoise feature. Update today to add more quirk to your content.

Free Download For macOS 10.14 or later

The feature allows you to insert the mask in any shape, such as a rectangle, circle, or triangle. You can also import any shapes you like if you can’t find them in the presets library. You can also adjust the mask placement, width, height, and feather effect.

Without further ado, let’s see the detailed step-by-step guide for this effect.

a. Preparation

You will need at least three shots of the same frame to get the shadow effect to work. The first is the main video, the second is the shadow clip, and the last would be a clip portraying just a plain background.

Make sure that your camera stays at the same point and angle. You can use a tripod for assurance.

Take the first main video and don’t forget to mark the positioning of the object for the next take. Then, you can shoot the shadow clip following the marking of the object to match its position in the main clip.

Finally, shoot the final clip without the object on the frame.

b. Steps to add the shadow effect to your videos using Masking

Step 1: Place the main clip on the timeline and find the start of the segment that you want to use. Press M on the keyboard to set a marker.

Step 2: Place the shadow clip on top of the main clip on the timeline. Trim and adjust until the shadow clip ends right at the marker of the main clip.

Step 3: Move the play head to the start of the shadow clip. Trim the main clip right on that mark so both clips have the same start by clicking the scissor icon and deleting the unused part.

Step 4: Double-click the shadow clip. OpenSettings > Mask Section > Rectangle to apply the mask. Adjust the blur strength to smooth out the edge.

Step 5: Play the result to see if there’s any part you need to block out. When you find them, repeat steps 1 to 4 but with the background clip. Try to conceal all things you need to hide using the masks. Make sure that you get the timings right.

Step6 Trim the length of the masking clips to match the main clip by sliding the play head and clicking the Split button.

Adjust the audio and preview the effect before you save the result. You can also add extra features like slow motion for maximum effect.

Summary

It is so easy to use this shadow effect on your video using Wondershare Filmora. The handy masking feature also comes with additional keyframe control and easy composite adjustment.

Wondershare Filmora is also packed with other powerful new features. This includes Auto Beat Sync, Speed Ramping, Quick Split Mode, and the upgraded Denoise feature. Update today to add more quirk to your content.

Free Download For macOS 10.14 or later

The feature allows you to insert the mask in any shape, such as a rectangle, circle, or triangle. You can also import any shapes you like if you can’t find them in the presets library. You can also adjust the mask placement, width, height, and feather effect.

Without further ado, let’s see the detailed step-by-step guide for this effect.

a. Preparation

You will need at least three shots of the same frame to get the shadow effect to work. The first is the main video, the second is the shadow clip, and the last would be a clip portraying just a plain background.

Make sure that your camera stays at the same point and angle. You can use a tripod for assurance.

Take the first main video and don’t forget to mark the positioning of the object for the next take. Then, you can shoot the shadow clip following the marking of the object to match its position in the main clip.

Finally, shoot the final clip without the object on the frame.

b. Steps to add the shadow effect to your videos using Masking

Step 1: Place the main clip on the timeline and find the start of the segment that you want to use. Press M on the keyboard to set a marker.

Step 2: Place the shadow clip on top of the main clip on the timeline. Trim and adjust until the shadow clip ends right at the marker of the main clip.

Step 3: Move the play head to the start of the shadow clip. Trim the main clip right on that mark so both clips have the same start by clicking the scissor icon and deleting the unused part.

Step 4: Double-click the shadow clip. OpenSettings > Mask Section > Rectangle to apply the mask. Adjust the blur strength to smooth out the edge.

Step 5: Play the result to see if there’s any part you need to block out. When you find them, repeat steps 1 to 4 but with the background clip. Try to conceal all things you need to hide using the masks. Make sure that you get the timings right.

Step6 Trim the length of the masking clips to match the main clip by sliding the play head and clicking the Split button.

Adjust the audio and preview the effect before you save the result. You can also add extra features like slow motion for maximum effect.

Summary

It is so easy to use this shadow effect on your video using Wondershare Filmora. The handy masking feature also comes with additional keyframe control and easy composite adjustment.

Wondershare Filmora is also packed with other powerful new features. This includes Auto Beat Sync, Speed Ramping, Quick Split Mode, and the upgraded Denoise feature. Update today to add more quirk to your content.

Free Download For macOS 10.14 or later

The feature allows you to insert the mask in any shape, such as a rectangle, circle, or triangle. You can also import any shapes you like if you can’t find them in the presets library. You can also adjust the mask placement, width, height, and feather effect.

Without further ado, let’s see the detailed step-by-step guide for this effect.

a. Preparation

You will need at least three shots of the same frame to get the shadow effect to work. The first is the main video, the second is the shadow clip, and the last would be a clip portraying just a plain background.

Make sure that your camera stays at the same point and angle. You can use a tripod for assurance.

Take the first main video and don’t forget to mark the positioning of the object for the next take. Then, you can shoot the shadow clip following the marking of the object to match its position in the main clip.

Finally, shoot the final clip without the object on the frame.

b. Steps to add the shadow effect to your videos using Masking

Step 1: Place the main clip on the timeline and find the start of the segment that you want to use. Press M on the keyboard to set a marker.

Step 2: Place the shadow clip on top of the main clip on the timeline. Trim and adjust until the shadow clip ends right at the marker of the main clip.

Step 3: Move the play head to the start of the shadow clip. Trim the main clip right on that mark so both clips have the same start by clicking the scissor icon and deleting the unused part.

Step 4: Double-click the shadow clip. OpenSettings > Mask Section > Rectangle to apply the mask. Adjust the blur strength to smooth out the edge.

Step 5: Play the result to see if there’s any part you need to block out. When you find them, repeat steps 1 to 4 but with the background clip. Try to conceal all things you need to hide using the masks. Make sure that you get the timings right.

Step6 Trim the length of the masking clips to match the main clip by sliding the play head and clicking the Split button.

Adjust the audio and preview the effect before you save the result. You can also add extra features like slow motion for maximum effect.

Summary

It is so easy to use this shadow effect on your video using Wondershare Filmora. The handy masking feature also comes with additional keyframe control and easy composite adjustment.

Wondershare Filmora is also packed with other powerful new features. This includes Auto Beat Sync, Speed Ramping, Quick Split Mode, and the upgraded Denoise feature. Update today to add more quirk to your content.

How to Create Loop Videos with Filmora

A loop fashion lookbook will be familiar to you if you are a fashion YouTuber. Here we will show you how to record shots and make a creative lookbook to show off your best outfits in an excellent way with Wondershare Filmora.

Shots recording for loop masking

The first and most crucial step for creating a good loop video is to record perfect shots. Here are the steps to record video shots for loop videos.

How to create a loop video

Step1 Set your camera or phone on a tripod. Make sure it stands still and does not move.

Step2 Set it so that you have a door on one side and enough room for the subject to walk through the door and move out of the frame.

Step3 Make sure all your outfits are ready.

Step4 Start recording on your camera. Walk through the door wearing the first outfit. Change your outfits and repeat the step with all your dresses. It would help if you kept the camera rolling while recording all these clips. Turning the recording on and off with every shot will result in many small movements.

Editing footage with a professional video editor - Wondershare Filmora

After recording the shots, the next step is to edit them. Wondershare Filmora is the best software for this purpose. Creating a loop video using filmora is an easy task.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Below is the step-by-step guide on using Wondershare Filmora to create a loop masking or lookbook video.

How to edit a loop lookbook video

Step1 Download and install Wondershare Filmora on your PC or Mac.

Step2 Launch Wondershare Filmora, import the video clip into Filmora and place it on the first track.

Step3 Find a frame with an empty background, i.e., without the subject, and freeze the frame.

Step4 Extend the frozen frame and cut out the rest of the video.

Step5 We are done with the first track so lock it.

Step6 Import the clip again on the second track. And find the sections of the clips where the subject is walking in the video. Cut the remaining part.

Step7 It will create several small sections on the second track.

Step8 Put the first clip at the start of the timeline and move the playhead to find the frame containing enough room for the second outfit.

Step9 Move the second outfit to that playhead area.

Step10 Double-click on the clip, go to effects, and choose a single-line mask.

Step11 Drag the mask to the point where it shows the outfit on its right side.

Step12 Blur the mask edges by increasing blur numbers.

Step13 Click on the add button to add a mask keyframe and move the play head forward until the first outfit leaves the frame.

Step14 Move the mask to the left to reveal the entire frame, and repeat the same process with all outfits.

Step15 After finishing all outfits, copy the clip from the first outfit. And paste it on top of all the tracks after the last outfit. And add a mask keyframe to this section too.

Step16 Unlock the first track and move the playhead to find the point where the subject with 4th outfit moves out of the frame. Then, cut the remaining part of the freeze frame on the right.

Step17 Now move the playhead to the first frame and find where it coincides with the last part of the final frame. Cut the previous piece.

Post it on Instagram, and it will keep playing automatically and act like a loop video. Otherwise, duplicate this edited clip several times to create a longer loop video. Background music plays a vital role in these videos, setting the tone and pace. Follow all the steps in the correct order. Then, create and post loop videos on your social media platforms.

Free Download For macOS 10.14 or later

Below is the step-by-step guide on using Wondershare Filmora to create a loop masking or lookbook video.

How to edit a loop lookbook video

Step1 Download and install Wondershare Filmora on your PC or Mac.

Step2 Launch Wondershare Filmora, import the video clip into Filmora and place it on the first track.

Step3 Find a frame with an empty background, i.e., without the subject, and freeze the frame.

Step4 Extend the frozen frame and cut out the rest of the video.

Step5 We are done with the first track so lock it.

Step6 Import the clip again on the second track. And find the sections of the clips where the subject is walking in the video. Cut the remaining part.

Step7 It will create several small sections on the second track.

Step8 Put the first clip at the start of the timeline and move the playhead to find the frame containing enough room for the second outfit.

Step9 Move the second outfit to that playhead area.

Step10 Double-click on the clip, go to effects, and choose a single-line mask.

Step11 Drag the mask to the point where it shows the outfit on its right side.

Step12 Blur the mask edges by increasing blur numbers.

Step13 Click on the add button to add a mask keyframe and move the play head forward until the first outfit leaves the frame.

Step14 Move the mask to the left to reveal the entire frame, and repeat the same process with all outfits.

Step15 After finishing all outfits, copy the clip from the first outfit. And paste it on top of all the tracks after the last outfit. And add a mask keyframe to this section too.

Step16 Unlock the first track and move the playhead to find the point where the subject with 4th outfit moves out of the frame. Then, cut the remaining part of the freeze frame on the right.

Step17 Now move the playhead to the first frame and find where it coincides with the last part of the final frame. Cut the previous piece.

Post it on Instagram, and it will keep playing automatically and act like a loop video. Otherwise, duplicate this edited clip several times to create a longer loop video. Background music plays a vital role in these videos, setting the tone and pace. Follow all the steps in the correct order. Then, create and post loop videos on your social media platforms.

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