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�������պ����ѧѧ�� 2008, Vol. 34 Issue (03) :344-347    DOI:
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�������պ����ѧ ��е���̼��Զ���ѧԺ, ���� 100083
Real-time visual tracking algorithm for single moving object in clustered environment
Sun Kaipeng, Li Xinjun*
School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� A visual tracking algorithm was introduced, which was completely based on image information. Several existing algorithms were integrated and improvements were made to achieve the goal of tracking one single moving object when the camera-s movements were small. A target was manually selected. Then feature points were extracted from the first and second frames and feature matching was conducted between the two frames. Using the matched features, affine motion model was established to estimate background movement and target position. With the assumption that target occupies only a few pixels, the separation of optical flow was calculated in a fixed small area around estimated target point and finally the moving object was obtained. The algorithm was applied on two consecutive images of the size of 640×480, and performed well. The experiments on PC show that with proper parameters the algorithm is able to work in the sampling frequency of ��12.5��Hz�� or ��25��Hz��.
Keywords�� real-time systems   tracking   feature extraction   optical flows     
Received 2007-06-29;
About author: �■��(1983-),��,ɽ��̫ԭ��,˶ʿ��,skpsun@163.com.
�■��,���¾�.���ӱ����µ����˶������ʵʱ�Ӿ�׷���㷨[J]  �������պ����ѧѧ��, 2008,V34(03): 344-347
Sun Kaipeng, Li Xinjun.Real-time visual tracking algorithm for single moving object in clustered environment[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2008,V34(03): 344-347
http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2008/V34/I03/344
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