Useing a pre-trained Mask R-CNN model to detect and segment objects in video frames and then applies OpenCV’s CSRT tracker to follow the largest detected object across the video.
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Updated
May 27, 2025 - Jupyter Notebook
Useing a pre-trained Mask R-CNN model to detect and segment objects in video frames and then applies OpenCV’s CSRT tracker to follow the largest detected object across the video.
Modification of CSRT tracker ( The OpenCV API) to track object in various environments
🎯 Multiple object tracking algorithms (CSRT, KCF, MOSSE, MedianFlow, etc.) implemented with OpenCV. Includes demo scripts, comparison tool, and sample outputs.
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