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Intelligent Video Analysis System Based on DM6437 Platform

Author: WangHao
Tutor: CaoZhiGuo
School: Huazhong University of Science and Technology
Course: Pattern Recognition and Intelligent Systems
Keywords: Video Analysis DM6437 Codebook DSP Optimization
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 31
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Abstract


The main meaning of the intelligent video analysis technology is the use of computer processing and analysis of video source and extract key information in the video monitor to control the machine. Intelligent video analysis technology has largely solved the traditional video surveillance technology in inefficiency, low reliability, and requires a lot of maintenance control shortcomings, and thus has been a rapid development in recent years. Stage of intelligent video analysis technology has achieved a cross-warning area, the detection of the cordon suspicious pedestrians and vehicles, items left over from the detection, aggregation and vehicle congestion detection. In recent years, with the rise of the embedded processor performance, more and more intelligent video analysis system in the front-end embedded systems. The video analysis algorithms in DSP platform to achieve real-time, space requirements, and other factors to consider. This paper include the following aspects: (1) describes the background detection algorithm research progress, and explains the basic principles of basic background subtraction, W4 algorithm, a single Gaussian model, and the Gaussian mixture model algorithm. On this basis, the details of the principle of the codebook background detection algorithms are actually used in the project. Then order to enhance the real-time codebook algorithm using a variety of methods to simplify and make a comparative experiment, select the most reasonable simplified method based on the experimental results. (2) taking into account the real-time tracking, we design moving object tracking module uses a linear prediction method to predict the position of the object through the historical trajectory of an object, and then judge the direction of movement of the object. In the state of motion analysis module, by establishing a correspondence between matrix and the judge detected after the separation of the rectangle and external rectangle rectangular staggered detected degree of coincidence solve staggered judgment. Then we take advantage of the movement of the tracking module objects current position and direction of movement, the warning area, the cordon early warning and retrograde detection function. (3) Due to the single-threaded task of video analysis algorithms will skip frames and other issues, the impact of the system display, the paper launched TI's DSP / BIOS operating system to provide multi-task scheduling, resource locking, semaphores, message queues module of the video analysis algorithm using multi-threaded implementation to solve the problem of the algorithm results displayed continuously. On this basis, we introduced a DSP processor platform commonly used optimization method, and gives some specific optimization of intelligent video analysis algorithm used in this paper, Finally, the experimental results of the optimization program.

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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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