A Camera Placement Method Based On Genetic Algorithm For Shipborne Video Surveillance System

Camera placement is very important for any video surveillance system, which could influence the performance of the whole system and the design of surveillance algorithms. The optimization model of camera placement is constructed by this paper. In this model, we attempt to maximize cameras’ coverage area which meets the requirement of surveillance quality within the surveillance area, when the number of cameras is fixed. Meanwhile, we proposed the solving algorithm for the shipborne multi-camera placement optimization model based on genetic algorithm. At last two experiments about shipborne multi-camera placement were introduced to verify the optimization model and the solving algorithm. The result indicates that the method for shipborne multi-camera placement can give the precise camera placement scheme, which contains every camera’s installation site, yaw angle, pitch angel, and the coverage of these cameras, and improve the performance of the whole shipborne video surveillance system.