Moving target detection and labeling in video sequence based on spatial-temporal information fusion

Authors:
Shiwei Ma;Zhongjie Liu;Banghua Yang;Jian Wang
Affiliations:
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, P.R. China;School of Mechatronic Engineering and Automation, Shanghai University, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, P.R. China;School of Mechatronic Engineering and Automation, Shanghai University, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, P.R. China;School of Mechatronic Engineering and Automation, Shanghai University, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, P.R. China
Venue:
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Year:
2007

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Abstract

A novel method of moving target detection based on spatial-temporal information fusion was proposed. It combines the temporal properties within multiple frames and the spatial information in single frame of a moving target in video image sequence by using time-domain recursive filtering for background recovering and spatial image segmentation for separation of target from background. Together with follow-up morphological filtering and blob analysis, the area of an interested moving target can be detected and labeled by bounding box. Its application to swimmer tracking in underwater swimming video image sequence manifested the effectiveness of the method, which is expected to be applied to the implementation of underwater automatic tracking swimming video system.