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�������պ����ѧѧ�� 2006, Vol. 32 Issue (03) :297-300    DOI:
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��, �ź�, ��Ծ��*
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Multiple moving objects segmentation algorithm in complex traffic scene
Li Juntao, Zhang Hai, Fan Yuezu*
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� To solve multiple moving objects segmentation problem in complex traffic scene outdoors, a new segmentation algorithm of multiple moving objects segmentation in complex traffic scene of outdoors was developed. The presented method consists of two phases. In the motion detection phase, motion-changed regionwas determined using an improved level set algorithm based on Mumford-Shah model of two consecutive frames difference of image sequence, and an simplified clustering algorithm providing initialization evolution curves of level set algorithm. Motion window was generated through detecting motion-changed region. In themotion segmentation phase, regions segmentation using an improved weighted k-means clustering algorithm of moving windows area were merged based on region motion similarity criterion. Computation time was reduced because of avoiding processing of the whole image. Very promising experimental results indicates that the proposed algorithm is effective with strong robustness using real image sequences of complex traffic scene and can resolve occlusions among multiple moving objects.
Keywords�� target detection   level sets   k-means clustering   robustness     
Received 2005-06-21;


About author: ��(1978-),��,���Ͽ�����,��ʿ��, ljtletter@126.com.
��, �ź�, ��Ծ��.���ӽ�ͨ�����ж��˶�Ŀ��ָ��㷨[J]  �������պ����ѧѧ��, 2006,V32(03): 297-300
Li Juntao, Zhang Hai, Fan Yuezu.Multiple moving objects segmentation algorithm in complex traffic scene[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2006,V32(03): 297-300
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