Moving Objects Detection & Classification

Object Detection and Classification using YOLO and Optical Flow Estimation

This project utilizes YOLO (You Only Look Once) for object detection and classification in videos, complemented by optical flow estimation for improved tracking of moving objects.

Table of Contents

• Installation
• Usage
• Results
• Contributing
• License

Installation

1. Clone the repository:

   git clone https://github.com/someshbhandare/moving-object-detection
   cd moving-object-detection

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

Usage

1. Run the main script:

   python main.py --input_video path/to/your/video.mp4 --output_video_path output.mp4

   Replace path/to/your/video.mp4 with the path to your input video file.

   • --input_video_path = YOUR_INPUT_VIDEO_PATH
   • --output_video_path = YOUR_OUTPUT_VIDEO_PATH [optional]

Results

#

Contributing

If you would like to contribute to the project, follow these steps:

1. Fork the repository
2. Create a new branch (git checkout -b feature/new-feature)
3. Commit your changes (git commit -m 'Add new feature')
4. Push to the branch (git push origin feature/new-feature)
5. Open a Pull Request

License

This project is licensed under the Apache License 2.0.