Design And Implementation Of Rule-Based Intelligent Video Surveillance System

The method of Image processing based on computer vision be involve in modern Video Surveillance System(IVS), such as moving object detection,object tracking, object classify as well as motion recognition. There are new challenges on how the system works between different conditions presented by requirements.This thesis focuses on application and architecture of intelligent video surveillance system. Referring to customer requirements, we discusses the design of scene and rule based video analysis sub-system. This System will be applied to the Tianjin airport as a part of the Airport Security Platform.At first of this thesis we simply introduce key technology of the application of IVS; then we discussed two important algorithms:Moving object detection and object tracking; and in the end we propose a rule-based IVS system implementation.At last of thesis we summary and analyze the test data, then performance optimization for system. Many testing case for quality assurance plan are scheduled.