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Research and Implementation of Embedded Network Video Detection Techniques

Author: JiangCheng
Tutor: ShenSuBin
School: Nanjing University of Posts and Telecommunications
Course: Applied Computer Technology
Keywords: Moving Object Detection Video Analysis Embedded Systems Code Optimization
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 40
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Abstract


With the developing of intelligent video surveillance, the embedded network video processing technology has gained widespread attentions and applications. This thesis studies network video processing techniques optimizes the video analysis software and implements of image pre-processing algorithm in embedded systems.The main function of the video analysis software is detecting moving objects in video sequences. This thesis mainly studies three kinds of motion detection algorithm: the background subtraction method, frame difference method and optical flow method. For considering characteristics and the actual demands of embedded systems, background subtraction method is selected for detecting moving objects in the video analysis software. The problems of background building and backround updating are also been studied. Dual-threshold method is used to solve the problem of false shadow detection in moving object detection, which is shown to be effective to eliminate shadows.Embedded systems have the characteristics of limited resource and high real-time requirements, so high performance is required for embedded software. To improve the performance of embedded software, optimization is an essential step in embedded software development. By analyzing the video analysis software, using optimization methods of eliminating redundant calculations, and switching floating point operations to fixed-point operations, the embedded video software is optimized on the source-code level and algorithm level. The experiment results show that the optimization of video analysis software obtains significant improvement, and meets the requirement of real-time embedded systems.In order to obtain high-quality images, the image is needed to correction and improvement by using image pre-processing algorithm after the image sensor obtaining the image data. This thesis mainly studies auto white balance and auto exposure algorithm of image pre-processing algorithm, and the auto white balance algoritm based on gray-world is implemented.

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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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