System Design Of Detecting And Tracking Moving Objects Based On DSP

Research on Detecting and Tracking of Moving Objects in serial images is a primary content of the Computer Vision and Image Encoding Technology. Now it's exerting great significance in the domain of Robot Navigation,Intelligent Visual Surveillance,Medicinal Images Analysis,Video Images Condensation and Transmission, Modernization Weapon System. Detecting and Tracking of Moving Objects is subjected to bottom vision problem as well as premise and foundation for analysis of moving objects. Recently it has gained widely attention by scholars in the world.Methods of detecting and tracking and their research status at home and abroad are analyzed in the thesis. Research methods of detecting and tracking under fixed vidicon, then use TMS320DM642 to design a Campus Intelligent Video Surveillance System. Real time supervision on special scenes such as Banks, Stores, Parking Lots, Military Bases etc can be carried by this system as well. The main research work of this paper is presented as follows:●Firstly, analyze research status at home and abroad and summarize algorithms of detecting and tracking.●Research methods of image filter and division. Put forward a rapid median filter algorithm for gray images. Compared with traditional median filter algorithm, it has greatly advanced processing speed.●Based on difference of three sequential frames to detect area of moving objects, then use Ostu and morphology to gain exact objects's area,finally, employ eight points connectivity to mark their serial numbers.●Analyze the principle of Kalman filter and forecast and adopt Kalman filtering method to forecast moving object's track. Such a method is simple and prone to hareware realization. Introduce template feature points matching method to achieve object recognition.Using Matlab and VC6.0 tools to validate algorithms; serving SEED-VPM642 as hard platform; introducing TI CCS3.1 sofeware development tools to achieve algorithm design.