Real-time tracking of moving object of image matching method

In the process of real-time track of moving object, there were some problems of lowly oriented precision and slowly servoing speed. This paper introduces that 2-dimension grey projection method and SSDA method is adopted to achieve moving object of image matching. Based on improved 2-dimension grey projection method to adopt to select pending matching child-image, SSDA method is adopted to search the best matching child-image from pending matching child-image. It realizes real-time moving object tracking. This paper shows that a parallel method is adopted to parallelize image matching method for raising matching speed. At the same time oriented precision is raised with greater counts. Based on parallel method, moving object tracking method is compartmentalized, and distributed programming is also compartmentalized according to preassign. By carrying out computer simulation and many experiments of object tracking with the capture of object, we have obtained many experiment data. The whole system period is in 30ms, the unit of sampling period, and the moving platform of oriented precision is in five pixels. This means that oriented precision and matching speed compared with the previous results have risen.