The Technology Research Of Moving Target Detection And Tracking

Along with the fast development of information technology as well as the urgent need of security situation, the requirement for higher-powered security equipment is ever-increasing. Now, the techniques of video intelligent surveillance have been become a essential study. Moving target detection technology and tracking technology, which is the core of intelligent video surveillance technology, are becoming increasingly subject to the industry's attention.On the basis of a large number of reference literature at home and abroad, as to the shortcomings that the moving target detection and tracking capabilities difficult to balance reliability and stability in the intelligent monitoring and control system, we focused on studied the key algorithm of moving target detection and target tracking in the video surveillance system. On the research of moving target detection, as to faults of frame difference method and background difference method, the thesis puts forward a new method that uses the combination of frame difference method with Gaussian distribution background model. In the use of frame difference method, introduced the concept of"Empowerment block value"thought, and by setting the upper and lower threshold to determine whether appears moving targets. This method improves the accuracy and robustness of detection algorithm, implement moving target detection. On the research of moving target tracking, Specific to the particle degradation problem and sample dilution phenomenon of particle filter method, this paper proposes a new particle filter algorithm that as to resample process, by the way of reasonable weighted linear combination to particle weight re-assignment, the algorithm improve the diversity of the samples, and improved the estimation and tracking abilities. Finally, the thesis designs simulation experiment, and the results show the moving detection method and tracking method that this paper proposed are effectiveness.