Files in this item

FilesDescriptionFormat

application/pdf

application/pdfFHWA-ICT-17-002.pdf (1MB)
(no description provided)PDF

Description

Title:Opportunistic Traffic Sensing Using Existing Video Sources (Phase II)
Author(s):Eriksson, J.; Jin, Y.; Gerlich, T.
Subject(s):computer vision
vehicle tracking
optical flow
Abstract:The purpose of the project reported on here was to investigate methods for automatic traffic sensing using traffic surveillance cameras, red light cameras, and other permanent and pre-existing video sources. Success in this direction would potentially yield the ability to produce continuous, daily traffic counts where such video sources exist, as compared to the occasional traffic studies performed today. The methods investigated come from the field of computer vision, including optical flow, background subtraction, and object detection and tracking, as well as control theory for the fusing of the results of these methods. Our system outperforms the state of the art in vehicle tracking, and it runs at faster frame rate. More work remains in improving robustness to occlusion and to improve accuracy of nighttime imagery.
Issue Date:2017-02
Publisher:Illinois Center for Transportation/Illinois Department of Transportation
Citation Info:Eriksson, Jakob, Yanzi Jin, and Tomas Gerlich. 2017. Opportunistic Traffic Sensing Using Existing Video Sources (Phase II). A report of the findings of ICT-R27-169. Illinois Center for Transportation Series No. 17-003. Research Report No. FHWA-ICT-17-002. Illinois Center for Transportation, Rantoul, IL.
Series/Report:ICT Series No. 17-003; FHWA-ICT-17-002
Genre:Technical Report
Type:Text
Language:English
URI:http://hdl.handle.net/2142/95728
ISSN:0197-9191
Sponsor:Illinois Department of Transportation, R27-169
Rights Information:No restrictions. This document is available through the National Technical Information Service, Springfield, VA 22161.
Date Available in IDEALS:2017-03-14


This item appears in the following Collection(s)

Item Statistics