English  |  正體中文  |  简体中文  |  Items with full text/Total items : 28611/40649
Visitors : 626480      Online Users : 87
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

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

Files in This Item:

File Description SizeFormat

All items in NTOUR are protected by copyright, with all rights reserved.


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback