Research Of Moving Object Detection And Tacking Technology And DSP Implementation

Along with the unceasing development of computer vision and the intelligent system technology, intelligent video surveillance technology obtained the widespread attention in the military, civilian use and so on.The thesis aims to investigate the key technology of moving object detection and tracking on video surveillance systems,as well as the application of this algorithm to the DM6437 DSP processing.The paper has given a research of the motion target detection and tracking algorithms. Several commonly used motion target detection algorithms are firstly reviewed, including optical flow, time-difference, background-difference, and Gaussian Mixture Model is used to build the model of background. While updating the background model coefficient, the foreground image and the labeled moving region is obtained. The motion target tracking algorithms is also made, and tracking algorithm based on the Kalman filter is thoroughly studied.The video surveillance system architecture of the DSP is researched in the paper and the moving target detection and tracking algorithm is implemented in the DSP platform. in the software design, the paper began to use MATLAB / Simulink to produce the code. The paper established the the detecting and tracking model since MATLAB can rapidly generate the executable program of DSP, so the code can run directly in the DSP.And it can save DSP program development time. Unfortunately, this development ultimately failed to achieve. The appearance of TI company VLIB library is another important way to give the rapid development of video algorithms. The paper calls a large number of API functions of the VLIB library according to the algorithm In MATLAB simulation, and achieves the algorithm design and conducts a series of optimization measures.The performance test results show that the algorithms in this paper is fast and ithas been implemented on real-time on DSP.