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Research on Video Traffic Flow Background Extraction and Moving Target Track and Detection Technology

Author: HanYaWei
Tutor: SunDaYue
School: Chang'an University
Course: Applied Computer Technology
Keywords: Background extraction Regional integration Object matching Video detection Traffic flow parameters
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 312
Quote: 2
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Abstract


In recent years , the world has established extensive transportation network , transport and road construction synchronization jumped poses serious traffic problems , resulting in enormous material and economic losses . Therefore, the construction of roads and transport facilities alone to solve the traffic problems very limited . Traffic orderly , smooth , safe , fast operation , it is important on traffic flow monitoring, guidance and management of organic integration , and computer video detection technology in intelligent transportation systems become the premise of the system , this study also key . Intelligent Transportation System traffic detection and information collection has become an important topic in the application of computer vision technology , extracting and updating of the background model , automatic detection of moving vehicles , shadow removal , identification and tracking is one of the most basic part . The paper for more than a few aspects of exploration and research, a new method , and the effectiveness of the new method is proved by experiments . The full integration of video traffic detection technology and traffic engineering system , from theoretical analysis and systems research to engineering practice , starting from the analysis of existing traffic flow parameters detector , the choice of the research system hardware involved in the detection algorithm and other key issues , design the framework of the model of the system . In-depth research on a variety of traffic flow parameters detection algorithm and code inspection, from the time efficiency of the algorithm and testing the effect of two aspects of the algorithm improvement and optimization , up to the real-time requirements of the system . The main algorithms involved : statistical model - based background extraction and updating algorithm ; moving target region Fusion algorithm ; moving objects shadow removal algorithms ; series of algorithms based target matching vehicle tracking algorithm . On the basis of the above algorithm to achieve the accurate extraction of the traffic flow parameters . Eventually, the video traffic parameter detection system to be developed and tested met the design requirements , the system technology for reference .

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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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