Moving Object Detection And Tracking Algorithm Based On The Embedded Research And Application

The tracking of moving target is one of the most active topics in computer vision, which has extremely high scientific significance and practical value. The direction of research has lasted for decades, which made fruitful achievements and widely used in industries. In this paper, the motion tracking algorithm and the practice of the embedded platform are mainly discussed. Its typical applications such as: traffic monitoring, community monitoring, human-computer interaction, etc.First, we introduce this research current situation at home and abroad, and the background and research significance. Then the hardware composition and software architecture of this system are described in detail. In the aspect of hardware design, we use a typical embedded development board, including S3C6410 processor, NAND FLASH, and an external USB camera. After that, it gives the development platform and operating environment. The running environment, including tailored Linux kernel, the Boot-loader initiator, the optimized Linux root file system, The software development platform including Qt libraries and OpenCV.Image denoising, moving object detection, target tracking is this paper mainly studies the image processing technology. In this paper, the different denoising algorithm were analyzed, at the same time, we analysis the moving object detection and tracking algorithm, and then proposed an improved algorithm, which achieves an good result. The experimental results show that the algorithm of this system can effectively track moving targets. In the end, it is mentioned about the applicable situations of the algorithm, as well as the outlook for the research.