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Illegal Vehicle Parking In Yellow Grid Region Monitoring System Design And Software Process

Posted on:2011-02-25Degree:MasterType:Thesis
Country:ChinaCandidate:X Y WangFull Text:PDF
GTID:2178330338483584Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
The illegal parking in yellow grid region as a common phenomenon seriously affects people's travel. In this context, the illegal vehicle detection system for yellow grid region based on vedio is designed as a part of intelligent traffic.A system that had been construted is able to realize the automatic monitoring of the illegal vehicle with the coorperation of software and hardware. The hardwares such as industrial computer,cameras that have been fixed controlled by the software with the function of image gathering,background extraction ,vehicle detection ,illegal judgement and target tacking and prediction,realizing the automatic of the whole system. The procedure of the process is: first the real-time image acquisition using an image grabbing card,then the extraction of the region background using an arithmetic that combined the Average of multi-image and Surrendra Arithmetic,and using a background subtraction arithmetic corrected by three images difference,and using statistics of pixel to segment the overlapped target according to the information of vehicles'position,at last tacking according to the similarity of the target region and predicting by Kalman Filter.The innovative points of the paper are: (1) arithmetic that combined the Average of multi-image and Surrendra Arithmetic can make the background more accurate;(2) using a background subtraction arithmetic correction by multi-image subtraction to obtain complete and accurate moving object region;(3) using statistics of pixel to segment the overlapped target.
Keywords/Search Tags:Intelligent traffic, yellow grid region, background subtraction, three images difference, statistics of pixel, Kalman filter
PDF Full Text Request
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