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MS tracking algorithm based on block color histogram

ZHANG Hongying, WANG Sainan, HU Wenbo   

  1. (College of Electronic Information and Automation, CAUC, Tianjin 300300, China)
  • Received:2018-01-18 Revised:2018-03-02 Online:2019-02-25 Published:2019-04-16

Abstract: Aiming at the problem of object occlusion in complex scenes, an improved tracking algorithm based on block color histogram and MS is proposed. First, in order to obtain strong ability to express local features, block color histogram is utilized. The target is divided into several regions to color features. Then a confidence map generating method of the block color histogram is proposed, helping MS algorithm search the best target area in the iteration of confidence map. Experimental results prove that the proposed algorithm can keep tracking the target continuously and accurately even though the target is occluded, which improves the robustness of the algorithm compared with traditional MS tracking algorithm.

Key words: block color histogram, confidence map, MS, object tracking

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