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�������պ����ѧѧ�� 2010, Vol. 36 Issue (12) :1490-1494    DOI:
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Novel approach to video object detection and precise segmentation
Zhao Wenzhe, Qin Shiyin*
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� Taking into account multiple objects detection in dynamic video scene, a method based on variational optimization of optical flow and mean shift was proposed. A variational optimization model for optical flow field was built according to constraints of multiple objects detection in dynamic video scene. The proper numerical solution was then given by this kind of optimizing calculus of variation. With the optical flow optimized solution, a high precise segmentation method was proposed. This approach can be used in the situations of both motion camera and stationary one. Meanwhile it can also be used to detect several targets in dynamic scenes simultaneously without learning in advance and manual intervention so as to be implemented automatically. A lot of experiment results validate the effectiveness of the proposed method.
Keywords�� machine vision   motion analysis   target detection   motion segmentation   variational optical flow field   mean shift     
Received 2010-05-10;

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������, ������.һ�ָ߾�����ƵĿ������ָ��·���[J]  �������պ����ѧѧ��, 2010,V36(12): 1490-1494
Zhao Wenzhe, Qin Shiyin.Novel approach to video object detection and precise segmentation[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2010,V36(12): 1490-1494
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