Study on mean shift tracking algorithm combined with tracking differentiator

Chen Huang; Jianjun Wang; Li Xue; Xin Gao

doi:10.1117/12.2072254

24 November 2014 Study on mean shift tracking algorithm combined with tracking differentiator

Chen Huang, Jianjun Wang, Li Xue, Xin Gao

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93011Q (2014) https://doi.org/10.1117/12.2072254
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

The classical Mean shift algorithm for target tracking, when it is used to track window in a complex background, appears too vulnerable to avoid window jitter, which leads to a failure of accurately tracking the target; while in tracking the target of fast-moving video sequences, the loss of tracking targets can not be avoid. As an improvement based on the classical Mean shift algorithm, the proposed algorithm with characteristic of combining tracking differentiator (TD) can eliminate window jitter and predict the target location with the help of TD. Experiments demonstrate that the proposed algorithm is capable of getting over deficiency of the original algorithm and holding improved stability and robustness.

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Chen Huang, Jianjun Wang, Li Xue, and Xin Gao "Study on mean shift tracking algorithm combined with tracking differentiator", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011Q (24 November 2014); https://doi.org/10.1117/12.2072254

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KEYWORDS

Detection and tracking algorithms

Electronic filtering

Video

Filtering (signal processing)

Nonlinear filtering

Fourier transforms

Motion models

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