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It's a simple yet practical example of motion detection for various applications, including surveillance, security, and more.\n\n## Features\n\n- Motion detection using frame differencing and thresholding.\n- Bounding boxes drawn around moving objects.\n- Real-time monitoring of detected moments.\n- User-friendly and easily customizable.\n\n## How it Works\n\nThe code uses the following steps to detect motion in a video:\n\n- Load a video file.\n- Initialize the first frame and preprocess it.\n- Continuously read frames, apply motion detection, and draw bounding boxes.\n- Display the frames in real-time with detected moments.\n\n## Prerequisites\n\nBefore running the code, make sure you have the following dependencies installed:\n\n- Python 3.x\n- OpenCV (Open Source Computer Vision Library)\n\nYou can install OpenCV using pip:\n\n```shell\npip install opencv-python\n```\n## Contributors\n\n[Tanmay Bharambe](https://github.com/bharambetr2002)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbharambetr2002%2Fmotion-detection-using-opencv","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbharambetr2002%2Fmotion-detection-using-opencv","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbharambetr2002%2Fmotion-detection-using-opencv/lists"}