Realization Of Moving Objects Detection System Based On DSP

With the development of the society, the demand for public security is getting higher and higher. The intelligent video surveillance system gets the extensive application in many aspects. Perceiving dynamic visual information and processing these information has already become one of the important research areas in computer vision.The main task of this paper is to study and realize a system for motion object detection based on DSP. It is a video surveillance system which meets real-time demand. The objects studied in the system are the videos collected by a stable vidicon. The paper firstly discusses and analyzes the advantage and disadvantage of some common methods in the field of motion object detection, then chooses the background subtraction method as the core of motion object detection according to the traits of video images and the requirements of real-time for the system. We set up initial background and achieve the adaptive update for background by using the arithmetic average algorithm and Surendra algorithm, calculate the threshold value for segmentation by using OTSU algorithm, and at last use the morphologic method to mark motion objects in the binary picture achieved from background subtraction. For DSP realization, the paper chooses TMS320DM642 produced by TI as the main processor. The soft framework is based on TI's DSP/BIOS multi-task operation system and FR5. The programs of all modules are completed with C language, and the system has been optimized to meet real-time demand. The experimental results show that the moving objects can be exactly and timely detected by the system under the specified occasion.