Research on Moving Target Tracking System Based on FPGA

In this paper, a fusion algorithm of background difference and Sobel is proposed. This algorithm can not only accurately detect the moving target, but also well describe the appearance and contour of the target, and also eliminate a lot of irrelevant noise. The detection and tracking system is based on the FPGA development platform of DE2-115 development board. Firstly, video images are collected by TRDB-D5M camera, raw image format is converted into RGB format and stored in SDRAM, and image acquisition is realized. The image is read from SDRAM, and then the median filter is carried out after the gray-scale transformation to realize the image preprocessing. Then we use the fusion algorithm of background difference and Sobel edge detection mentioned above, as well as the centroid tracking algorithm to detect and track the moving target. Finally, we display the real-time image and tracking results through VGA. After many times of debugging, the system can process 640 * 480 @ 60Hz image, realize the real-time tracking of moving target, and the tracking rate can reach higher than 90%. The system realizes the expected function and meets the requirements of real-time, and has a large potential for progress and application prospects.