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Detailed evaluation and analysis of vision-based online traffic parameters estimation approach using low-resolution web cameras

Ali, Musharaf and Touko Tcheumadjeu, Louis Calvin and Zuev, Sergey and Ruppe, Sten (2014) Detailed evaluation and analysis of vision-based online traffic parameters estimation approach using low-resolution web cameras. Archives of Transport System Telematics, 7 (2), pp. 9-13. PSTT - Polish Association of Transport Telematics. ISSN 1899-8208

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Official URL: http://pstt.eu

Abstract

In this paper, we give an overview and a detail analysis of our approach for vision-based real-time traffic parameters estimation using low-resolution web cameras. Traffic parameters estimation approach mainly includes three major steps, (1) stable background estimation, (2) vehicle detection, mean speed and traffic flow estimation, and (3) traffic scene classification into three states (normal and congested). The background image is estimated and updated in realtime by novel background estimation algorithm based on the median of First-in-First-Out (FIFO) buffer of rectified traffic images. Vehicles are detected by background subtraction followed by post-processing steps. By exploiting the domain knowledge of real-world traffic flow patterns, mean speed and traffic flow can be estimated reliably and accurately. Naive Bayes classifier with statistical features is used for traffic scene classification. The traffic parameter estimation approach is tested and evaluated at the German Aerospace Center’s (DLR) urban road research laboratory in Berlin for 24 hours of live streaming data from web-cameras with frames per second 1, 5 and 10. Image resolution is 348 x 259 and JPEG compression is 50%. Processed traffic data is cross checked with synchronized induction loop data. Detailed evaluation and analysis shows high accuracy and robustness of traffic parameters estimation approach using low-resolution web-cameras under challenging traffic conditions.

Item URL in elib:https://elib.dlr.de/92027/
Document Type:Article
Title:Detailed evaluation and analysis of vision-based online traffic parameters estimation approach using low-resolution web cameras
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ali, MusharafMusharaf.Ali (at) dlr.deUNSPECIFIED
Touko Tcheumadjeu, Louis CalvinLouis.ToukoTcheumadjeu (at) dlr.deUNSPECIFIED
Zuev, Sergeysergey.zuev (at) dlr.deUNSPECIFIED
Ruppe, StenSten.Ruppe (at) dlr.deUNSPECIFIED
Date:May 2014
Journal or Publication Title:Archives of Transport System Telematics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:7
Page Range:pp. 9-13
Editors:
EditorsEmail
Mikulski, Jerzysecretariat@pstt.eu
Publisher:PSTT - Polish Association of Transport Telematics
ISSN:1899-8208
Status:Published
Keywords:background estimation, vehicle detection, time mean speed, traffic flow, traffic state classification
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems > Information Processing for Optical Systems
Institute of Transportation Systems > Traffic Management
Deposited By: Ali, Musharaf
Deposited On:24 Nov 2014 07:25
Last Modified:31 Jul 2019 19:49

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