Overview on Visual Target Tracking Based on Mean Shift
Fei Qi, Luo Yu-pin, HU Dongcheng · Jisuanji gongcheng · 2007
Mean-shift-based visual target tracking is one of the hotspots in the field of computer vision.The model of the algorithm is simple,efficient and easy-to-implement,and it can handle the complex cases such as deformations and partial occlusions.Recent researches on scale adaptation of the tracking window and distributions of features improve the performance of such trackers.This paper introduces the development and the state of such kind of the algorithms.