DocumentCode :
595147
Title :
Robust visual tracking with the cross-bin metric
Author :
Chaoxin Lyu ; Yan Yan ; Hanzi Wang
Author_Institution :
Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
2120
Lastpage :
2123
Abstract :
In this paper, we propose an adaptive particle filter method based on the cross-bin matching, which makes use of the fast and robust earth mover´s distance with a thresholded ground distance (EMD) as the similarity measure, for robust visual tracking. In contrast to the traditional bin-by-bin metrics, the cross-bin metric used in the EMD is capable of efficiently capturing the intrinsic affinity relationships between bins, resulting in more accurate and effective tracking results. Experimental results demonstrate the effectiveness and robustness of the proposed tracking method in coping with the challenging situations, such as background clutters, occlusions, abrupt motions and jumps.
Keywords :
adaptive filters; object tracking; particle filtering (numerical methods); statistical distributions; EMD; adaptive particle filter method; bin-by-bin metrics; cross-bin matching; cross-bin metric; earth mover distance; robust visual tracking; similarity measure; thresholded ground distance; Earth; Particle filters; Robustness; Target tracking; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460580
Link To Document :
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