Vision Based Vehicle Detection and Traffic Parameter Extraction(Special Section on Papers Selected from ITC-CSCC 2000)

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概要

• 論文の詳細を見る

• Various shadows are one of main factors that cause errors in vision based vehicle detection. In this paper, two simple methods, land mark based method and BS & Edge method, are proposed for vehicle detection and shadow rejection. In the experiments, the accuracy of vehicle detection is higher than 98%, during which the shadows arisen from roadside buildings grew considerably. Based on these two methods, vehicle counting, tracking, classification, and speed estimation are achieved so that real-time traffic parameters concerning traffic flow can be extracted to describe the load of each lane.

• 社団法人電子情報通信学会の論文
• 2001-06-01

著者

• Kim Yong-deak

  The Division Of Electronics Engineering Ajou University

• YU Mei

  the Institute of Circuits and Systems, Ningbo University

• Yu Mei

  The Institute Of Circuits And Systems Ningbo University

関連論文

• Vision Based Vehicle Detection and Traffic Parameter Extraction(Special Section on Papers Selected from ITC-CSCC 2000)

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