DocumentCode :
3474708
Title :
Robust object tracking by adaptive models combination
Author :
Yang, Gang ; Wang, Dong ; Wang, Yutao ; Wang, Zunyi
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2011
fDate :
27-30 Sept. 2011
Firstpage :
160
Lastpage :
164
Abstract :
Robust tracking is a challenging problem, due to intrinsic appearance variability of objects caused by in-plane or out-plane rotation and extrinsic factors change such as illumination, occlusion, background clutter and local blur. A tracker based on a single cue may be robust to certain distractions but vulnerable to some others. Therefore, it is appealing to fuse multiple cues into one tracker. In this paper, we propose an adaptive models combination framework for visual tracking. The color cue, texture cue and global representation of object are fused into one tracker by combination of three individual models. Then a simple yet effective adaptive weights strategy is proposed for evaluating weights of different models based on their performance. Experiments are performed on some changeling video sequences, both public and our own, show that our proposed framework achieve good performance.
Keywords :
image colour analysis; image representation; image texture; object tracking; video signal processing; adaptive model combination; adaptive weight strategy; background clutter; in-plane rotation; local blur; object color cue; object global representation; object texture cue; out-plane rotation; robust object tracking; video sequences; visual tracking; Adaptation models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Awareness Science and Technology (iCAST), 2011 3rd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-0887-9
Type :
conf
DOI :
10.1109/ICAwST.2011.6163132
Filename :
6163132
Link To Document :
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