Dual Camera Intelligent Video Surveillance System Design And Implementation,

Video surveillance has become an important component in the Security fields because of its distinctive feature such as visualization, convenience and rich information. In view of the increasing requirements of intelligence and reliability in the current video surveillance, this paper designs and constructs a dual-camera intelligent video surveillance system which composed by a full-view-camera and a tracking-camera. A research has been made mainly focus on the two aspects of video surveillance, which are camera registration and moving-target tracking technology.In the aspect of camera registration, this paper uses an image matching method, because of the existence of the translation, rotation, scale and other changes, the thesis proposes a method of camera registration based on the use of Scale-Invariant Features Transform(SIFT) algorithm. After a detailed research in the principle and process of the algorithm, suitable parameter settings are found in the match process through the experiments and its feasibility on the dual-camera registration is verified.In the aspect of video tracking, in view of common problems, such as the target in the scene easily obscured, lost, the real-time demand of surveillance system, moving background, after a detailed research in the conterminous frames differencing algorithm and an adaptive color-based Particle Filter tracking algorithm, the thesis proposes a method by combining the two algorithms. The simulation results show that the method is rather robust.Finally, a framework of video surveillance system has been developed on the platform of Visual C++, with OpenCV library and DirectShow technology. In the process of constructing system, White-Box testing and Black-Box testing were used to debug the program.