Video Object Tracking

In this project, you will build a basic object tracking system that detects moving objects in a video by identifying changes between consecutive frames. This involves extracting frames from a video, analyzing pixel differences to detect movement, and visualizing these changes with color overlays. Finally, the modified frames will be recombined into a video. This project introduces you to foundational concepts in computer vision and video processing, with a focus on detecting and highlighting moving objects.

Implementation Guidelines

Running the Program:
- You may use FFmpeg to split the input video into individual frames (images), by using the Process Builder and save the frames in a format that preserves image quality (e.g., PNG).
- For each frame (starting from the second frame), calculate the pixel-by-pixel difference with the previous frame.
- Identify pixels that have changed significantly (e.g., based on a threshold for intensity difference).
- For pixels that changed, apply a color overlay with transparency (alpha) to highlight areas of movement.
- Each section of changed pixels (contiguous moving areas) should be colored uniquely.
- Track and color each moving section consistently across frames if possible.
- After processing all frames combine them back into a video format.

Testing

Experiment with different change threshold values to observe how sensitivity affects detection.
Test the program on videos with varying frame rates and resolutions.
Record the processing time for splitting, analyzing, and reassembling the video.