淡江大學機構典藏:Item 987654321/22353
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    题名: A light point algorithm of classification of vehicle at night
    作者: 范俊海;莊盛淵
    贡献者: 淡江大學運輸管理學系
    关键词: 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
    日期: 2001-08-19
    上传时间: 2009-11-30 14:03:31 (UTC+8)
    出版者: 中華民國影像處理與圖形識別學會
    摘要: 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.
    關聯: 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
    显示于类别:[運輸管理學系暨研究所] 會議論文

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    A Light Point Algorithm of Classification of Vehicle at Night_英文摘要.docx16KbMicrosoft Word276检视/开启

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