Research And Realization Of A Real-time Imaging Tracking System Based On DSP

With real-time image tracking technology have been extensively applied in various fields, especially in military affairs and science research, the demands for acquisition tracking and pointing systems are getting higher day by day. In order to satisfy the high accuracy and real-time requirement of the tracking systems of mobile objects, we implemented a tracking system with PC and TMS320C6201 based on WTC6201PA board of Wintech Technology Co.Ltd, in which, PC is used to be master computer and TMS320C6201 is used to be algorithm processor, the image is processed by fully using the powerful and high-speed data processing capability of DSP .So, a real-time tacking system can be realized.The classical pattern arithmetic ATR (Automatic Target Recognition) is applied in the tracking system. In the paper, a method of 2D maximum between-cluster variance (2DMVB) is used in image segmentation, at the same time, a adaptive genetic algorithm based on the elitist strategy is used to parallel-optimize the algorithm, the satisfied segmentation effects have been obtained. In the process of tracking, a dual-mode tracking algorithm is adopted. System can change the tracking algorithm automatically according to the moving state of the target. The template matching technique is confronted with large computational quantity, so we presents a new method, in which the location of the target was forecasted fist, then a adaptive genetic algorithm is introduced to do template matching, By using this algorithm, the matching time can be greatly reduced. The experimental result shows that the system we have designed with the algorithm and hardware of the above can track the moving target rapidly and accurately.