An Improved Representation for Object Tracking Algorithm

Abstract:

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Aiming at the shortcoming of feature space representation in traditional mean shift, we propose an improved object tracking method. At first, the target model region is segmented into overlapped square, and their histograms are computed. Then, the feature space is constituted which has introduced spatial information into. So the accuracy is enhanced. After computing the feature space of target candidate region, the mean shift is employed to find the new target location. The result shows that the improved method can track the object more robust, accurately and quickly.

Info:

Periodical:

Edited by:

Kai Cheng, Yongxian Liu, Xipeng Xu and Hualong Xie

Pages:

1020-1024

DOI:

10.4028/www.scientific.net/AMM.16-19.1020

Citation:

Y. M. Gu et al., "An Improved Representation for Object Tracking Algorithm", Applied Mechanics and Materials, Vols. 16-19, pp. 1020-1024, 2009

Online since:

October 2009

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Price:

$35.00

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