# Ball Tracking and Event Logging

This project tracks colored balls in a video, determines the quadrant they are in, detects entry/exit events, and outputs analysis data.

Overview

• Loads video file
• Detects balls based on color ranges
• Determines quadrant for each ball
• Labels balls and quadrants in output video
• Logs entry/exit events to a text file with timestamps
• Converts processed AVI video to shareable MP4 format

Usage

To process a video:

1. Update video_path to point to the input video file
2. Run the Python script:

python object tracking.py

3. The outputs will be saved to the same folder:

• processed_video.avi: Video with ball tracking visualizations
• event_records.txt: Entry/exit events and timestamps
• processed_video.mp4: MP4 version of the processed video

Configuration

The color ranges for detection can be configured by modifying the color_ranges dictionary. Tune these ranges to accurately detect each colored ball in the video.

Logic for determining entry vs exit events should also be customized based on the specific setup.

Installation

Requires OpenCV and Python. Can be installed via:

pip install opencv-python numpy moviepy

Customization

Possible ways to expand this:

• Track other object types (vehicles, animals etc)
• Integrate with IP cameras for live processing
• Perform more complex analytics on ball events
• Create graphical dashboards and reports

License

MIT license - free to use, modify and distribute this code.

Let me know if any sections need additional detail or if you have other ideas for the README!