关键词: 视频分析 , 智能监控 , 校园安全 , 高斯混合背景建模 , 阴影去除

Abstract: In order to implement the real-time surveillance and intelligent analysis in case of unattended, a novel intelligent surveillance system for campus was designed and developed via the software platform of VC6.0 and OpenCV1.0. The proposed system uses the GMM for the prospects detection, Meanshift algorithm for objects tracking, should track multi-target, and a new method based on the characteristic of HSV color space to avoid the shadow disturbance, then the system can be applied into some complex surveillance environments. The system can achieve the functions of intrusion detection, population statistics, crowd density detection and loiterer detection. With the experimental test in the actual campus, the results verify its usefulness and effectiveness. 

Key words: Video analysis, Intelligent surveillance, Security on campus, GMM, Shadow removal