A Rapid Robust Pedestrians Target Detection and Extraction
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.Therefure 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.
Mixture Gaussian model background subtraction Shadow elimination Binarization connectivity analysis
Zhang Xiaokun Wei Benjie Li Shan
Department of computer science Beijing Electronic Science & Technology Institute Beijing ,100070, Ch Center for Space Science and Applied Research Chinese Academy of Sciences Beijing 100190,China
国际会议
沈阳
英文
1069-1071
2012-07-27（万方平台首次上网日期，不代表论文的发表时间）