A Hybrid Algorithm of Object Tracking Based on Color Distribution
Lu Xiao-peng①②; Yin Xue-min①②; Zou Mou-yan①
①(Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China); ②(Graduate University of Chinese Academy of Sciences, Beijing 100039, China)
Abstract：Though traditional meanshift method has the virtue of simplicity and availability, it does not work well when the target gets an occlusion. In the meanwhile, particle filter can solve this problem easily. Unfortunately, its performance relies heavily on the numbers of the used particles. It makes the tracking technique by particle filtering have difficulty in satisfying the requirement of real time computing. To settle the problem, this article brings about a hybrid algorithm by combining the mean shift and the particle filter tracking technique on the basis of the color histogram distribution. By adopting the strategy that the number of particles is adaptively determined, it amalgamates the virtues of the two techniques. It reduces the computational cost and ensures the performance simultaneously. The experimental results show that the proposed method is effective and robust.
卢晓鹏; 殷学民; 邹谋炎. 一种基于颜色分布的混合视频跟踪方法[J]. 电子与信息学报, 2008, 30(2): 259-262 .
Lu Xiao-peng①②; Yin Xue-min①②; Zou Mou-yan①. A Hybrid Algorithm of Object Tracking Based on Color Distribution. , 2008, 30(2): 259-262 .
2008, Vol. 30 
