Moving Object Detection Using Contour

Computer Vision is the field which is growing very fast and rapidly. The main purpose of the object detection in video surveillance system is for safety of the human. Objects like human and vehicle have been important research area in Intelligent Transport System (ITS). Here in this paper, we have considered human and vehicles as an object. Basically, Contour-based approach is used to get moving object’s region. In this approach, consecutive frames are subtracted to get foreground moving objects and connected component of the contour is used for detecting the object. Here we have set the Region of Interest to extract detected object. We have used static camera for detection purpose. Different video database of video surveillance area is considered. Thresholding, binary image conversion, morphological operations are implemented for better detection of foreground objects. Experimental results are shown to elaborate the contour-based object detection method.