Presentation 2009-02-04
Vision-based Pedestrian Recognition using AdaBoost
Kousuke MATSUSHIMA, Kouhei SENBA, Keiichi UCHIMURA, Shoji ESAKI,
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Abstract(in English) Pedestrian-vehicle accidents account for about one third of the total automotive related fatality and injury. So the inclusion of pedestrian protection systems such as external airbags is being consider as a solution to preventing pedestrian fatality and injury. However, such systems require knowledge of pedestrian presence for correct activation. In this work, it proposes the pedestrian recognition technique for considering three-dimensional information based on the image obtained from right and left cameras set up in the vehicle. These techniques are applied to the road scene images, and the confirmation and the verification of effectiveness are performed.
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Keyword(in English) Stereo Vision / Pedestrian Recognition / ITS
Paper # ITS2008-51,IE2008-221
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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) Vision-based Pedestrian Recognition using AdaBoost
Sub Title (in English)
Keyword(1) Stereo Vision
Keyword(2) Pedestrian Recognition
Keyword(3) ITS
1st Author's Name Kousuke MATSUSHIMA
1st Author's Affiliation Department of Control and Information Systems Engineering, Kurume National College of Technology()
2nd Author's Name Kouhei SENBA
2nd Author's Affiliation Department of Control and Information Systems Engineering, Kurume National College of Technology
3rd Author's Name Keiichi UCHIMURA
3rd Author's Affiliation Graduate School of Science and Technology, Kumamoto University
4th Author's Name Shoji ESAKI
4th Author's Affiliation Department of Control and Information Systems Engineering, Kurume National College of Technology
Date 2009-02-04
Paper # ITS2008-51,IE2008-221
Volume (vol) vol.108
Number (no) 424
Page pp.pp.-
#Pages 6
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