Real-Time Object Tracking

This project implements various basic techniques for real-time object tracking using OpenCV in Python. For further implementations, please follow OpenCV documentaion.

• Motion Detection
• Optical Flow
• Background Subtraction
• Object Tracking with MeanShift and CamShift

Setup

1. Clone the repository:

   git clone https://github.com/yourusername/real_time_object_tracking.git
   cd real_time_object_tracking
   

2. Install the required packages:

   pip install -r requirements.txt
   

Usage

Run the motion_detection.py script to start the real_time object tracking application. The same with other files.

python motion_detection.py

Features

• Motion Detection: Detects and highlights moving objects in the video feed
• Optical Flow: Computes and visualizes the motion vectors in the video
• Background Subtraction: Separates moving objects from the background using MOG2 and KNN methods.
• Object Tracking: Tracks the selected object using MeanShift and CamShift

Contributing

Feel free to submit issues or pull request if you have any improvements or bug fixes.