Robust mean-shift tracking with extended fast colour thresholding
Richard Yi Da Xu, J.G. Allen, J.S. Jin · 2005
We propose a novel adaptive approach for object tracking using fast colour thresholding and region merging. It proves to be an effective measure against large variations between consecutive frames during a mean-shift process. The approach retains mean-shift's property of efficiency and improves mean-shift's drawback of robustness. It can track non-rigid objects with significant occlusion.