Share Email Print
cover

Proceedings Paper

Adaptive mean shift and particle filter tracking method based on joint feature
Author(s): La Zhang; Yingyun Yang; Huabing Wang; Yansi Yang; Bo Liu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In the object tracking area, both particle filter and mean shift algorithm have proven successful approaches. However, both of them have notable weakness. In this paper, we present a new algorithm which combined the two algorithms to track the target. First, the mean shift algorithm is employed to search an object candidate near the target state. Then, if the candidate is good enough, it will be used to adapt the particle filter parameters, including the number of particle filter, and etc. Finally, the particle filter will estimate the target state based on these new parameters. Further, the paper introduces the color-texture combined feature instead of color feature.

Paper Details

Date Published: 14 March 2013
PDF: 7 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87681A (14 March 2013); doi: 10.1117/12.2010754
Show Author Affiliations
La Zhang, Communication Univ. of China (China)
Yingyun Yang, Communication Univ. of China (China)
Huabing Wang, Communication Univ. of China (China)
Yansi Yang, Communication Univ. of China (China)
Bo Liu, Communication Univ. of China (China)


Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top