基于运动对象自动检测和查询的监控系统

针对现有的视频监控系统的缺陷,提出基于运动对象自动检测和查询的智能视频监控系统.利用帧间差的4次统计量的假设验证,自动检测运动对象.用形态学腐蚀和膨胀算子对检测的运动对象的二值图像进行处理,以提高检测运动对象的可靠性,降低误警率.为自动跟踪运动对象轨迹,提出检测块概念.依据检测的运动对象和事件,建立相应的监控信息标注数据库,进而由时间段、运动对象及场景中发生的事件来查询监控信息,实现"跳跃"式随机检索监控信息.实验结果证明提出的方法对实现智能的视频监控系统是有效且健壮的.

Automatic Moving Object Detection and Indexing of Surveillance System

Aiming at the shortcoming of existing video 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. Moving object is detected by means of a higher-order statistics performed on a group of inter-frame differences, followed by a motion detection phase, producing a binary moving object. Morphological operator is used to reduce false alarm, moving object is tracked by concept of detecting block. Detecting of moving object and event of interest is used to automatically annotate raw video data, and generate video indexing database. The user can specify object-based queries on the surveillance video sequence and "jump" to events of interest. The experimental results show that the performance proposed method is efficient and robust in the intelligent surveillance system.