CamShift Tracking Method Based on Target Decomposition

Chunbo Xiu, Shian Wei, Rongfeng Wan, Yi Cheng, Jing Luo and Huixin Tian

Mathematical Problems in Engineering, 2015, vol. 2015, 1-20

Abstract:

In order to avoid the inaccurate location or the failure tracking caused by the occlusion or the pose variation, a novel tracking method is proposed based on CamShift algorithm by decomposing the target into multiple subtargets for location separately. Distance correlation matrices are constructed by the subtarget sets in the template image and the scene image to evaluate the correctness of the location results. The error locations of the subtargets can be corrected by resolving the optimization function constructed according to the relative positions among the subtargets. The directions and sizes of the correctly located subtargets with CamShift algorithm are updated to reduce the disturbance of the background in the tracking progress. Simulation results show that the method can perform the location and tracking of the target and has better adaptability to the scaling, translation, rotation, and occlusion. Furthermore, the computational cost of the method increases slightly, and its average tracking computational time of the single frame is less than 25 ms, which can meet the real-time requirement of the TV tracking system.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:524120

DOI: 10.1155/2015/524120

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