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The code uses a simple background subtraction technique along with Euclidean distance-based tracking to detect and track objects in a video stream.\n\n## Prerequisites\n\nMake sure you have the following dependencies installed:\n\n- Python 3.x\n- OpenCV\n- NumPy\n\n## Vehicle Detection\n![image](Main/out/image3.png)\n![image](Main/out/image2.png)\n\n## Output\n![image](Main/out/image.png)\nThis script will use a pre-recorded video (`highway2.mp4`), apply background subtraction, detect objects, and track them using Euclidean distance.\n\n## Customization\n\nYou can modify the following parameters in the `main.py` script:\n\n- ROI (Region of Interest): Adjust the ROI to focus on a specific area in the video frame.\n- Thresholds: Modify the thresholds used in background subtraction and contour detection to improve object detection accuracy.\n- Keybindings: Press 'ESC' to exit the application.\n\n\n## Acknowledgments\n\n- Inspired by the [OpenCV](https://opencv.org/) library.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fayu-ano%2Fbasic_object-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fayu-ano%2Fbasic_object-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fayu-ano%2Fbasic_object-detection/lists"}