Paper Info
Title
Moving target detection and labeling in video sequence based on spatial-temporal information fusion
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.
Year
DOI
Venue
2007
10.1007/978-3-540-74769-7_84
LSMS (1)
Keywords
Field
DocType
novel method,underwater swimming video image,spatial information,video system,underwater automatic tracking swimming,video image sequence,swimmer tracking,spatial-temporal information fusion,spatial image segmentation,target detection,video sequence,image segmentation,time domain
Spatial analysis,Computer vision,Pattern recognition,Filter (signal processing),Image segmentation,Video tracking,Artificial intelligence,Optical flow,Geography,Recursion,Underwater,Minimum bounding box
Conference
Volume
ISSN
ISBN
4688
0302-9743
3-540-74768-0
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Shiwei Ma113621.79
Zhongjie Liu200.34
Bang-hua Yang3658.10
Jian Wang47640.08