针对目前流行的可视化监控系统存在的缺陷,研制了一种利用计算机系统辅助完成运动目标自动检测和分类的智能化监控系统;并针对户外监控场景复杂、干扰大,人体识别困难等问题,提出了检测块、提取函数、特征点等概念,以及基于影子模式的投影直方图技术,基于时空信息的累加和技术和基于边缘检测的几何模型技术等关键技术,以解决户外复杂背景下的人体识别困难问题,以降低户外监控的漏警率和误警率.

Aiming at the shortcomings of prevalent visual surveillance system, an intelligent surveillance system which can accomplish automatic detection and classification of moving objects by making use of the computer system is presented in this paper. It mainly consists of such modules as cameras, video capuring, change detection, classification, human interface, alarm log and image database etc. Because current image difference techniaue raises shcu problems as refreshing frequency of reference image and binary threshold selection problems after subtraction of pixel brightness, such comcepts as detecting block, extraction function, binary output function are introduced in this paper to resolve these problems. In addition to, there are complex scenes and lots of disturbance in outdoor environments, so some key techniques such as projection histogram of silhouette pattern, accumulation based on space-time information and geometric model based on edge detection are presented to solve the difficulty of human body recognizing and decrease the ratio of missing alarm and false alarm.