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Research of the Algorithm of Automatic Video Tracking Based on DSP

Author: WeiJun
Tutor: WangZuo
School: Wuhan University of Technology
Course: Communication and Information System
Keywords: TMS320DM642 background subtraction OTSU 8-adjacent connection PELCO-D
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 204
Quote: 1
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Abstract


With the improvement of technology, video surveillance has entered the era of digital video surveillance. An important characteristic of digital video surveillance is the surveillance system is more and more automatically, target tracking has become an indispensable function of surveillance system. So the hardware and software requirements of surveillance system are also increasing. Meanwhile, DSP technology is also growing, the improvement of chip integration, processing speed, data throughput and other performances make the DSP be used in video surveillance and related fields widely. The automatic video tracking system we discussed in this paper is based on the TMS320DM642 DSP which is produced by the TI Inc. In this paper, we do research in the algorithms of the automatic video tracking system and implement them.First this paper introduces the hardware platform and system architecture design briefly, this system mainly consists of TMS320DM642 DSP, PTZ, screen, PC machine.This paper introduces video moving target detection algorithm then. Detection algorithm is divided into four steps:video acquisition, image compression, moving target detection, object segmentation. After comparing the advantages and disadvantages of frame subtraction algorithm, optical flow algorithm and background subtraction algorithm, we use the background subtraction algorithm as the moving target detection algorithm. According to the actual situation, we divide the background subtraction algorithm into tow steps:background extraction, subtraction calculation. Then this paper designs the algorithm flow. OTSU+8-adjacent connection algorithm is proposed in the object segmentation part. This paper dose research in the theory of the OTSU algorithm which is an adaptive threshold algorithm and 8-adjacent connection algorithm. Then this paper introduces details of the segmentation algorithm flow and implementation process.This paper also describes the particular application of video tracking. The existing tracking system has many problems, the important regional surveillance often be missed. According to shortage of current surveillance, considering the needs of surveillance system, this paper proposes the concept of restricted area, left thing and taking away thing area. The paper focuses on surveillance algorithms of these two regions, and describes the method to judge if two rectangles are intersect or not. Finally, the moving target location algorithm and camera remote control command PELCO-D protocol are introduced.At last, this paper defines the communication protocol between the DSP and PC machine, describe the communication process between DSP and PC in detail, including the algorithm flow of sending and receiving data. Then test the entire system as a whole. Experimental results show that the algorithm which proposed in this paper runs well. It can monitor the restricted area, left and taking away thing area successful, then responds quickly. For the things appear in the restricted area,the system track it and enlarge, for the things appear in the left and taking away thing area, the system alarm immediately.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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