Paper Title:
An Improved Representation for Object Tracking Algorithm
  Abstract

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, J. Liu, K. Liu, Z. Yao, "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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