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| An Adaptive Splitting and Merging Clustering Algorithm of the Moving Target Segmentation |
| Zhang Kun①② Wang Cui-rong② |
①(College of Information Science and Engineering, Northeastern University, Shenyang 110819, China)
②(Nation 985 Program Next Generation Network Technology Laboratory, Qinhuangdao 066004, China) |
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Abstract For the issue of multiple moving targets’ segmentation in intelligent monitoring system, an adaptive splitting and merging clustering algorithm of the moving target segmentation is proposed. First, it uses the time-domain information for foreground image segmentation through the sample variance background modeling algorithm, thus obtains the foreground image containing multiple moving targets. It defines pixel space connectivity rate and designs a perpendicular split method for the initial cluster adaptive splitting and merging. Without pre-set number of initial cluster, the self-organized iterative clustering segmentation algorithm can complete multiple moving targets segmentation. Experimental results show that the proposed algorithm is suitable for multiple moving targets’ segmentation, and the segmentation results are consistent with the human visual judgment. The use of space connectivity information improves the iterative algorithm convergence speed, thus it has good real-time.
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Received: 10 May 2013
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Corresponding Authors:
Zhang Kun
E-mail: zkhbqhd@163.com
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2014, Vol. 36 
