An Application of Sampling Point in Real Time Vehicle Classific- ation

碩士 === 國立臺灣大學 === 土木工程研究所 === 82 === Many of the approaches to and classifications of vehicles with image of traffic flow preseted in the past theses remain applicable to real time vehicle classification today and seems to possess considerable pote...

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Main Authors: Liao,Ming-Tsan, 廖明燦
Other Authors: Stanley T. Lung
Format: Others
Language:zh-TW
Published: 1994
Online Access:http://ndltd.ncl.edu.tw/handle/07535780128524727888
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spelling ndltd-TW-082NTU000150762016-07-18T04:09:53Z http://ndltd.ncl.edu.tw/handle/07535780128524727888 An Application of Sampling Point in Real Time Vehicle Classific- ation 樣本點辨識方法應用於即時車種之辨識 Liao,Ming-Tsan 廖明燦 碩士 國立臺灣大學 土木工程研究所 82 Many of the approaches to and classifications of vehicles with image of traffic flow preseted in the past theses remain applicable to real time vehicle classification today and seems to possess considerable potential in behavioral traffic flow and traffic management research. This study attempts to discuss the premises supporting application of the approaches to categorizing vehicles set forth by real time color image processing. The author maintains that an important premise in such applications involves the construction of "The system of vehicle length detection technique." The present work uses such a system to categorize motorcycle, car, truck, buses and trailers in order to demonstrate that such a system can be used to obtain a more systematic understanding of concepts presented vehicle classification, and that this approach can be extended for real time application of traffic control. Stanley T. Lung 龍天立 1994 學位論文 ; thesis 99 zh-TW
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language zh-TW
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description 碩士 === 國立臺灣大學 === 土木工程研究所 === 82 === Many of the approaches to and classifications of vehicles with image of traffic flow preseted in the past theses remain applicable to real time vehicle classification today and seems to possess considerable potential in behavioral traffic flow and traffic management research. This study attempts to discuss the premises supporting application of the approaches to categorizing vehicles set forth by real time color image processing. The author maintains that an important premise in such applications involves the construction of "The system of vehicle length detection technique." The present work uses such a system to categorize motorcycle, car, truck, buses and trailers in order to demonstrate that such a system can be used to obtain a more systematic understanding of concepts presented vehicle classification, and that this approach can be extended for real time application of traffic control.
author2 Stanley T. Lung
author_facet Stanley T. Lung
Liao,Ming-Tsan
廖明燦
author Liao,Ming-Tsan
廖明燦
spellingShingle Liao,Ming-Tsan
廖明燦
An Application of Sampling Point in Real Time Vehicle Classific- ation
author_sort Liao,Ming-Tsan
title An Application of Sampling Point in Real Time Vehicle Classific- ation
title_short An Application of Sampling Point in Real Time Vehicle Classific- ation
title_full An Application of Sampling Point in Real Time Vehicle Classific- ation
title_fullStr An Application of Sampling Point in Real Time Vehicle Classific- ation
title_full_unstemmed An Application of Sampling Point in Real Time Vehicle Classific- ation
title_sort application of sampling point in real time vehicle classific- ation
publishDate 1994
url http://ndltd.ncl.edu.tw/handle/07535780128524727888
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