Video Surveillance, Motion Image Detection And Recognition Technology

Scene monitoring technology is one of the chief fields in IT technology. Scene monitoring technology not only has a promising broad future in human's day life but also plays a more and more important role in many fields such as resource, national defense, traffic and etc, among which intelligent safe guarantee system is mostly used in men day life. Furthermore, the technology for detection and recognition of moving objects in images, the core technology in the scene monitoring system, is else one of the making technologies in thefield of video compression and transmission.According to the applied background of intelligent safe guarantee system, this paper develops digital image processing and pattern recognition methods and designs a method to detect and recognize moving objects in video sequences. This paper puts emphasis on the moving and change detection, extraction of moving objects and moving objection recognition. In moving and change detection, a Guass moving and change detection model is designed based on the imaging character of CCD in order to detect moving and change area in sequential images. In moving objects extraction this paper this paper proposed two methods, one is two image difference method to extract moving objects, another is three images difference method. Moving object recognition adapts fuzzy method based on the applied background of intelligent safe guarantee system. In order to successfully implement the space domain segmentation, this paper also develops an algorithm that can distinguish connexity between pixels and extract the feature parameters in one image scanning procedure. Simulation experiments have been made. And the results show that, moving objects in sequential images can be detected and recognized correctly by using the algorithm in this paper.