| The research and application of home monitoring system based on computer vision is a very active area currently. The system, which is on the basis of the automated guided vehicles, can achieve the flexible function combination of visual perception,image analysis, target tracking and remote interactive function etc excellently, and it is also very suitable to work in an enclosed space, so it has broad application in the intelligent monitoring and patrol area in family, office, and storage.Aiming at the current status of home monitoring system of lacking intelligence and flexibility and its poor expandability, the system can add other functions to extend the system besides its basic functions.In the analysis of the hardware platform and the basic function demands of home monitoring system, this paper proposes analytical method by analysing the change-pionts of the use case. The design of the system which according to the change-pionts in the use cases is the key point, this paper designs gross structure of the system and the important modular structure in the principle of object-oriented, and then this paper proposes the overall frame model which is extendable for the system.In the key technologies of the system, it applicates optimized frame-difference method to the fixed location of the illegal intrusion detection in the situation of nobody is there; it applicates feature points detection and matching based on SURF to the detection of the fixed-points in the process of patrolling; it applicates background structuring and background difference to the fall detection of only one person situation. The experimental results show that the methods of the examination and the monitoring are effective . |