I have been trying to track feature points in the video using opencv. However, use of Shi Tomasi Corner Detection along with optical flow algorithm like Lucas Kanade Optical Flow doesn't seem to be able to track objects with faster motion accurately. Any insights on robust feature tracking in videos?
You could also look into modifying this system to do feature tracking: https://paperswithcode.com/paper/you-only-look-once-unified-real-time-object. Cheers, Raoul
Is there any way you can reframe your problem as object tracking? OpenCV comes with a variety of object trackers:
https://www.pyimagesearch.com/2018/07/30/opencv-object-tracking/
check this paper may be helpful:-
https://openaccess.thecvf.com/content_ICCV_2017/papers/Teng_Robust_Object_Tracking_ICCV_2017_paper.pdf
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