DocumentCode :
2476441
Title :
Region covariance based probabilistic tracking
Author :
Hu, Hanqing ; Qin, Jianzhao ; Lin, Yaping ; Xu, Yangsheng
Author_Institution :
Shenzhen Inst. of Adv. Integration Technol., Chinese Univ. of Hong Kong, Hong Kong
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
575
Lastpage :
580
Abstract :
Region covariance descriptor recently proposed in has been approved robust and elegant to describe a region of interest which has been applied to visual tracking. By employing region covariance descriptor, the tracker efficiently fuses multiple features and modalities and has a capacity for comparing regions with different window sizes. Relying on the same principle of region covariance descriptor, but with a probabilistic framework, we introduce an elegant way to integrate covariance descriptor into Monte Carlo tracking technique for visual tracking. The advantages of particle filter and multiple features of region covariance descriptor entitle us better competence to handle object tracking within complex environment, as well as partial and completed occlusions of the tracked entity over a few frames. The experimental results show that region covariance based particle tracker outperforms CAMSHIFT tracker and color based particle tracker within complex environment. And our tracker also better handles occlusions when comparing with region covariance descriptor based local search tracker.
Keywords :
Monte Carlo methods; covariance analysis; particle filtering (numerical methods); tracking; video signal processing; Monte Carlo tracking technique; particle filter; probabilistic tracking; region covariance descriptor; visual tracking; Automation; Computer vision; Covariance matrix; Filtering; Fuses; Intelligent control; Particle filters; Particle tracking; Robustness; Target tracking; Region covariance; particle filter; visual tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4592986
Filename :
4592986
Link To Document :
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