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Research and implementation of traffic information processing system

Author: LinSheng
Tutor: GongHaiGang；LuoJianLu
School: University of Electronic Science and Technology
Course: Software Engineering
Keywords: Vehicle Detection Image preprocessing Image processing Image acquisition Background Update
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 69
Quote: 0
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Abstract


Intelligent Transportation Systems (ITS) as vehicles and vehicle classification of machine vision technology , is the only way to the development of modern transportation . Research intelligent transportation system is an important direction for national economic development , and it has a broad application prospects in terms of highway toll system and road traffic monitoring system . According to this point of the vehicle detection in intelligent transportation systems , extraction and classification techniques carried out in-depth research and analysis , and a precise vehicle detection classification algorithm , the main content is as follows : First, the use of existing digital knowledge of image processing of image pre-processing , to reduce the impact of noise on the results of the comparative analysis of the existing the suppression noise algorithm , proposed an improved filter suppressing noise algorithm . Proposed a threshold segmentation algorithm to extract the vehicle detection algorithm to dynamically adjust the threshold automatically update the background . Then , based on the video image of knowledge , analysis of how to use the capture card , image acquisition and analysis . Secondly, the principle of the method of video detection technology and image processing and recognition technology to detect and identify the target , and intelligent traffic control and simulation of traffic flow , vehicle speed , vehicle arrival rate of traffic detection needs , based on video image Research and Implementation of traffic information processing algorithms . Finally , analysis of these key issues through image filtering noise removal , image enhancement , image segmentation , image enhancement, feature extraction and target recognition in image processing encountered determined on the basis of the design of a motor vehicle violation detection system background subtraction mathematical model to be used in the implementation , completed background automatically updated . Intelligent transportation system proposed in this paper applies to a large area , multi- target complex scenes , can effectively eliminate interference to meet the vehicle detection and vehicle classification requirements of video surveillance under natural conditions , has some theoretical significance and practical value , can be extended to other areas of video surveillance .

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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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