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Traffic Surveillance using Multi-Camera Detection and Multi-Target Tracking

Reulke, Ralf and Bauer, Sascha and Döring, Thomas and Meysel, Frederik (2007) Traffic Surveillance using Multi-Camera Detection and Multi-Target Tracking. Image and Vision Computing New Zealand. University of Waikato, Hamilton, New Zealand. ISBN 978-0-473-13008-4.

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Abstract

Non-intrusive video-detection for traffic flow observation and surveillance is the primary alternative to conventional inductive loop detectors. Video Image Detection Systems (VIDS) can derive traffic parameters by means of image processing and pattern recognition methods. Existing VIDS emulate the inductive loops. We propose a trajectory based recognition algorithm to expand the common approach and to obtain new types of information (e.g. queue length or erratic movements). Different views of the same area by more than one camera sensor is necessary, because of the typical limitations of single camera systems, resulting from the occlusion effect of other cars, trees and traffic signs. A distributed cooperative multi-camera system enables a significant enlargement of the observation area. The trajectories are derived from multi-target tracking. The fusion of object data from different cameras is done using a tracking method. This approach opens up opportunities to identify and specify traffic objects, their location, speed and other characteristic object information. The system provides new derived and consolidated information about traffic participants. Thus, this approach is also beneficial for a description of individual traffic participants. Keywords: Multi-camera system, fixed-viewpoint camera, cooperative distributed vision, multi-camera orientation, multi-target tracking

Document Type:Proceedings
Title:Traffic Surveillance using Multi-Camera Detection and Multi-Target Tracking
Authors:
AuthorsInstitution or Email of Authors
Reulke, RalfHumboldt-Universität Berlin
Bauer, SaschaUNSPECIFIED
Döring, ThomasUNSPECIFIED
Meysel, FrederikUNSPECIFIED
Date:December 2007
Refereed publication:Yes
In ISI Web of Science:No
Number of Pages:175
Editors:
EditorsEmail
Cree, MichaelUNSPECIFIED
Publisher:University of Waikato, Hamilton, New Zealand
Series Name:Image and Vision Computing New Zealand
ISBN:978-0-473-13008-4
Status:Published
Keywords:Multi-camera sensing, fixed-viewpoint camera, cooperative distributed vision, multi-camera orientation, multi-target tracking
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Transport
HGF - Program Themes:V SM - Sicherung der Mobilität (old)
DLR - Research area:Transport
DLR - Program:V SM - Sicherung der Mobilität
DLR - Research theme (Project):V - Terrestrische Verkehrsdatenerfassung (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Institute of Transportation Systems > Traffic Management
Deposited By: Prof. Dr. Ralf Reulke
Deposited On:08 Jan 2008
Last Modified:27 Apr 2009 14:36

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