Presentation	2013-02-19 Pedestrian Recognition System using Modified GLAC Feature Shoji WATANABE, Kousuke MATSUSHIMA,
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Abstract(in English)	The number of pedestrian deaths are more than 35%, and it is the main component of traffic accidents. So, pedestrian detection is one of the most important components in driver-assistance systems. There are some methods for pedestrian detection, for example, infrared camera methods, pattern matching methods, and image features methods. In this paper, we propose new image features for real-time pedestrian recognition, named FGLAC. It is based on GLAC, but this method features short processing time and high recognition rate more than GLAC.
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Keyword(in English)	pedestrian recognition / image features / GLAC features
Paper #	ITS2012-44,IE2012-124
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Conference Information
Committee	IE
Conference Date	2013/2/11(1days)
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Paper Information
Registration To	Image Engineering (IE)
Language	JPN
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Title (in English)	Pedestrian Recognition System using Modified GLAC Feature
Sub Title (in English)
Keyword(1)	pedestrian recognition
Keyword(2)	image features
Keyword(3)	GLAC features
1st Author's Name	Shoji WATANABE
1st Author's Affiliation	Department of Control and Information Systems Engineering, Kurume National College of Technology()
2nd Author's Name	Kousuke MATSUSHIMA
2nd Author's Affiliation	Department of Control and Information Systems Engineering, Kurume National College of Technology
Date	2013-02-19
Paper #	ITS2012-44,IE2012-124
Volume (vol)	vol.112
Number (no)	434
Page	pp.pp.-
#Pages	6
Date of Issue