Design And Implementation Of Moving Object Detection And Tracking System Based On FPGA

With the rapid development of electronic technology, computer performance has been greatly improved. Target detection and tracking technology based on video is the most important field of computer vision research.It is the key technology in the industrial applications such as intelligent control, human_computer interaction and mobile robot navigation. It has very attractive prospect in scientific research and engineering applications.This dissertation proposes a new idea based on FPGA, designs a static background video sequence used in the dynamic object detection and tracking system. The system uses DE2₇0development board of Altera as the hardware platform.TRDB_D5M image sensor monitors the environment in real time. When there is moving target in the environment, then the system will send the alarming signal to notify the monitoring staff by the LCD and the LEDG on DE2₇0development board. Display moving target with rectangular box in the VGA.The system is achieved in a synergistic manner of software and hardware. Hardware: first, on the basis of the requirement analysis, the paper designs and implements image capture module, SDRAM cache module and moving target detection module, and then, the paper builds moving target tracking module using SOPC Builder; finally, the thesis builds the entire hardware system by Quartus II. Software:the algorithms are programmed and debugged by C code in the Nios II IDE environment. Algorithm:through study the theory of the algorithm and simulation analysis these algorithms in MATLAB platform, in this paper, take the algorithm of three frames difference moving targets detection based on edge detection. The benefits of this algorithm are simple, small amount of calculation and good robustness. In addition, this paper used the Kalman filter forecast and the matching based on histogram algorithm for moving target tracking.After a period of debugging and running, the average accuracy of the detection and tracking system can reach more than90%.Implementation result shows that:the system achieve the expected effect, stable operation,realize the design requirements and has a broad prospect of application. It provides the foundation of the visual intelligence surveillance.