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A rapid robust pedestrians target detection and extraction
Zhang, Xiaokun; Wei, Benjie; Li, Shan; Zhang, X. (sam@besti.edu.cn)
Department空间技术部
Source PublicationProceedings of the 2012 International Conference on Computer Application and System Modeling, ICCASM 2012
2012
Pages1069-1071
Language英语
ISBN9789491216008
AbstractTo meet the public security and criminal investigation requirement, this paper studies detecting and tracking of human motion through related theories on image processing and pattern recognition. The video information is obtained from video monitoring system (VMS). Background modeling is based on mixture Gaussian model. The background subtraction is used for detecting moving targets, separating the targets from the background and meanwhile eliminating shadows. This method can also accomplish binarization and connectivity analysis of human targets, mark rectangular frame of the human body and extract human targets. Therefore the image region which appeals to the criminal investigation can be acquired. Experimental results show the good performance of the algorithm which lays a solid foundation for further study on target tracking and recognition. © The Authors.; To meet the public security and criminal investigation requirement, this paper studies detecting and tracking of human motion through related theories on image processing and pattern recognition. The video information is obtained from video monitoring system (VMS). Background modeling is based on mixture Gaussian model. The background subtraction is used for detecting moving targets, separating the targets from the background and meanwhile eliminating shadows. This method can also accomplish binarization and connectivity analysis of human targets, mark rectangular frame of the human body and extract human targets. Therefore the image region which appeals to the criminal investigation can be acquired. Experimental results show the good performance of the algorithm which lays a solid foundation for further study on target tracking and recognition. © The Authors.
Conference Name2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012
Conference DateJuly 27, 2012 - July 29, 2012
Conference PlaceShenyang, China
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/2967
Collection空间技术部
Corresponding AuthorZhang, X. (sam@besti.edu.cn)
Recommended Citation
GB/T 7714
Zhang, Xiaokun,Wei, Benjie,Li, Shan,et al. A rapid robust pedestrians target detection and extraction[C]:Atlantis Press, 29 avenue Laumiere, Paris, 75019, France,2012:1069-1071.
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