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An improved MCMC particle filter based on greedy algorithm for video object tracking

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3 Author(s)
Song Wang ; School of Information Science and Engineering, Shandong University, Jinan 250100, China ; Huiyuan Wang ; Xiufen Wang

In this paper, an improved MCMC (Markov Chain Monte Carlo) particle filter for video tracking is proposed. MCMC plays an important role in video tracking and so is of popular use in this field. However, it is still very difficult to satisfy the requirement of real-time application for its high computation complexity. To solve this problem, the concept of greedy algorithm is adopted questioning this study. Experiment results show that the proposed approach performs well in both tracking robustness and computational efficiency.

Published in:

Communication Technology (ICCT), 2011 IEEE 13th International Conference on

Date of Conference:

25-28 Sept. 2011