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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/22353

    Title: A light point algorithm of classification of vehicle at night
    Authors: 范俊海;莊盛淵
    Contributors: 淡江大學運輸管理學系
    Keywords: 汽車分類;夜間交通影像;顆粒分析;智慧型運輸系統;影像處理;Vehicle Classification;Night Traffic Image;Blob Analysis;Intelligent Transportation System;Image Processing
    Date: 2001-08-19
    Issue Date: 2009-11-30 14:03:31 (UTC+8)
    Publisher: 中華民國影像處理與圖形識別學會
    Abstract: It is years to apply the image process to the traffic. However, no matter domestically or internationally, there is rare study, which is made for the night condition. Here, by judging the single motionless image of traffic flow that is on the basis of the amount of light points showing on the image and the relation of light points, we could classify the vehicles as large vehicles, small vehicles and motorcycles. Thus, with the statistical data on rear light templates, we conclude the light points height, width, distances between two rear lights and angle, which is formed. Then, comparing above information with the traffic flow image, different sorts of vehicles would be distinguished.
    Relation: 視訊媒體新世紀CVGIP2001論文集=Proceedings of 2001 14th IPPR Conference on Computer Vision Graphics and Image Processing,8頁
    Appears in Collections:[運輸管理學系暨研究所] 會議論文

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