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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44279

Title: An Adaptive Windowing Predication for Vehicle Speed Estimation
Authors: Tun-Wen Pai
Wen-Jung Juang
Lee-Jyi Wang
Contributors: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
Keywords: Prediction algorithms
Charge coupled devices
Road vehicles
Vehicle detection
Charge-coupled image sensors
Velocity measurement
Intelligent transportation systems
Traffic control
Time measurement
Wireless application protocol
Date: 2001-08
Issue Date: 2017-11-21T07:19:44Z
Publisher: Proceedings of the Fourth International IEEE Conference on Intelligent Transportation Systems (ITSC 2001)
Abstract: Abstract:A novel integrated system for vehicle speed estimation is presented. The mean traffic speed is estimated by using a sequence of video images from CCD cameras on the road and performing image analysis techniques pixel distance calculation, and inverse perspective transformation with known parameters. Moving vehicles are detected by applying frame differencing methodology: a combination of morphological operations and image region growing techniques. A new fast search algorithm, called adaptive windowing prediction based on determined vehicle speed in previous frame, is proposed for improving real-lime system computational efficiencies. Experimental results show that the proposed system exhibits good performance at a significantly reduced computation complexity.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44279
Appears in Collections:[資訊工程學系] 演講及研討會

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