The purpose of this thesis is to develop a set of tracking systems for Multiple Persons on DSP-Based. There are three sub-systems in our tracking system, including ¡§Moving Object Detection¡¨, ¡§Contour Matching¡¨ and ¡§Ellipse Algorism¡¨. First of all, the system utilizes CCD camera to capture the image which we want to control, and then detects the moving object from the continuous image array. If the system detects an invador, it will make the position of this invador with the coordinate projection, and then lock the invador's head to track. Finally, the tracking system marks the coordinate separately and exports it in LCD. From the results of the experiment, this system does meet the expectation and obtain good performance and strong robustness.

The thesis shows the development of DSP-based ¡§human head-tracker¡¨ system. It uses CCD camera to capture images, and detects in the image sequence. When someone interrupts, the system will lock on his head and shows the locked image on the LCD screen. The Head-tracker system includes three sub-systems : ¡§Motion Detector¡¨, ¡§Ellipse Algorism¡¨, and ¡§Visual Probability Data Association Filter¡¨. From the results of experiment, it can meet the expectation and gain good performance and robustness.