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Proceedings Paper

Study on mean shift tracking algorithm combined with tracking differentiator
Author(s): Chen Huang; Jianjun Wang; Li Xue; Xin Gao
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Paper 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.

Paper Details

Date Published: 24 November 2014
PDF: 6 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011Q (24 November 2014); doi: 10.1117/12.2072254
Show Author Affiliations
Chen Huang, Beijing Institute of Tracking and Telecommunications Technology (China)
Jianjun Wang, Beijing Institute of Tracking and Telecommunications Technology (China)
Li Xue, Beijing Institute of Tracking and Telecommunications Technology (China)
Xin Gao, Beijing Institute of Tracking and Telecommunications Technology (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

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