Presentation 2009-02-05
Robust Vehicle Tracking to Various Brightness Conditions and an Application to the Measurement of Traffic Parameters
Tomoaki HIROOKA, Wataru MITSUHASHI,
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Abstract(in English) We propose a method for detecting and tracking vehicles in multilane traffic flow by using a camera installed on an overpass. The image intensities of stationary background scenes such as road surfaces and road markings are estimated through Kalman Filter based approach, and the feature points are detected only on vehicles by using Kanade-Lucus-Tomasi tracker. The Normalized Cuts based cluster analysis is utilized for segmenting the feature points into individual vehicles. Since a prior knowledge of vehicles as to shape, velocity and image intensity is unnecessary, the proposed method is robust to environmental changes in traffic scene, thereby increasing the possibility of an automatic measurement of traffic flow.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) ITS / vehicle tracking / measuring traffic parameters / background estimation / feature point / graph partitioning
Paper # ITS2008-68,IE2008-238
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Committee ITS
Conference Date 2009/1/28(1days)
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Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Robust Vehicle Tracking to Various Brightness Conditions and an Application to the Measurement of Traffic Parameters
Sub Title (in English)
Keyword(1) ITS
Keyword(2) vehicle tracking
Keyword(3) measuring traffic parameters
Keyword(4) background estimation
Keyword(5) feature point
Keyword(6) graph partitioning
1st Author's Name Tomoaki HIROOKA
1st Author's Affiliation Graduate School of Electro-Communications, The University of Electro-Comunications()
2nd Author's Name Wataru MITSUHASHI
2nd Author's Affiliation Graduate School of Electro-Communications, The University of Electro-Comunications
Date 2009-02-05
Paper # ITS2008-68,IE2008-238
Volume (vol) vol.108
Number (no) 424
Page pp.pp.-
#Pages 6
Date of Issue