Research on target tracking algorithm based on spatio-temporal context

Baiping Li; Sanmei Xu; Hongjuan Kang

doi:10.1117/12.2281934

21 July 2017 Research on target tracking algorithm based on spatio-temporal context

Baiping Li, Sanmei Xu, Hongjuan Kang

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104200M (2017) https://doi.org/10.1117/12.2281934
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

Abstract

In this paper, a novel target tracking algorithm based on spatio-temporal context is proposed. During the tracking process, the camera shaking or occlusion may lead to the failure of tracking. The proposed algorithm can solve this problem effectively. The method use the spatio-temporal context algorithm as the main research object. We get the first frame’s target region via mouse. Then the spatio-temporal context algorithm is used to get the tracking targets of the sequence of frames. During this process a similarity measure function based on perceptual hash algorithm is used to judge the tracking results. If tracking failed, reset the initial value of Mean Shift algorithm for the subsequent target tracking. Experiment results show that the proposed algorithm can achieve real-time and stable tracking when camera shaking or target occlusion.

Citation Download Citation

Baiping Li, Sanmei Xu, and Hongjuan Kang "Research on target tracking algorithm based on spatio-temporal context ", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104200M (21 July 2017); https://doi.org/10.1117/12.2281934

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