Object detection and tracking method for intelligent surveillance
一种用于智能监控的目标检测和跟踪方法*

This paper designed and realized a simple and effective object detection and tracking scheme,based on a review of the existed detection and tracking algorithms.At first,proposed a pixel intensity classification and the single Gaussian model based background reconstruction algorithm,which could provide an accurate background model through a sequence of scene images with foreground objects.Then used the background subtraction method for object detection,selected the center of the object as the matching feature for tracking of multi-objects among the sequence.Experimental results show that the proposed algorithm and scheme is simple to realize,and can detect and track the moving objects effectively,it shows obvious perfor-mance improvement compared with the traditional time-averaged background based method.