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Title:

Extracting Roadway Background Image: Mode-Based Approach
Cover of Extracting Roadway Background Image: Mode-Based Approach

Accession Number:

01022995

Record Type:

Component

Availability:

Transportation Research Board Business Office

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Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Public/Blurbs/157966.aspx

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Order URL: http://worldcat.org/isbn/0309099528

Abstract:

Traffic monitoring cameras are widely installed on streets and freeways in U.S. metropolitan areas. Video images captured from these video cameras can be used to extract many valuable traffic parameters through video image processing. A popular way to capture traffic data is to compare the current traffic images with the background image, which contains no vehicles or other moving objects, just background such as pavement. Once the moving vehicle images are separated from the background image, measurements of their number, speed, and so on can be obtained. Typically, background images are extracted from a video stream through image processing because it may be hard to find a frame without any vehicles for normal traffic streams on urban streets. This paper introduces a new method that can quickly extract the background image from traffic video streams for both freeways and intersections in a variety of prevailing traffic conditions. This method has been tested with field data, and the results are promising.

Monograph Accession #:

01030690

Language:

English

Authors:

Zheng, Jianyang
Wang, Yinhai

ORCID 0000-0002-4180-5628

Nihan, Nancy L
Hallenbeck, Mark E

Pagination:

pp 82-88

Publication Date:

2006

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 1944
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309099528

Media Type:

Print

Features:

Figures (5) ; References (12) ; Tables (1)

Uncontrolled Terms:

Subject Areas:

Highways; Operations and Traffic Management; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Mar 3 2006 11:06AM

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