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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2013-03-14
11:15
Tokyo   A study on a pedestrian detector adaptive to driving environment using in-vehicle camera and GPS
Daichi Suzuo, Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Takashi Machida, Yoshiko Kojima (Toyota Central R&D Labs.) PRMU2012-190
Recently, pedestrian detection from in-vehicle camera images is being focused. However, it is difficult to detect pedest... [more] PRMU2012-190
pp.61-66
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
11:00
Tokyo   A preliminary study on a pedestrian detector adaptive to the driving environment using an in-vehicle camera
Daichi Suzuo, Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Takashi Machida, Yoshiko Kojima (Toyota Central R&D Labs., Inc.) PRMU2012-41 IBISML2012-24
Recently, pedestrian detection from in-vehicle camera images is being focused. However, it is difficult to detect pedest... [more] PRMU2012-41 IBISML2012-24
pp.99-104
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
16:00
Tokyo   A study on a method for high-accuracy detection of a pedestrian holding an umbrella with generative learning
Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Takashi Machida, Yoshiko Kojima (Toyota Central R&D Labs., Inc.) PRMU2012-50 IBISML2012-33
Recently, pedestrian detection from in-vehicle camera images has become an interesting topic for researchers. Especially... [more] PRMU2012-50 IBISML2012-33
pp.191-196
PRMU, MI, IE 2011-05-20
13:00
Aichi   A study on a method for stable pedestrian detection against pose changes with generative learning
Hidefumi Yoshida, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Kunihiro Gotou, Yoshikatsu Kimura, Takashi Naito (Toyota Central R&D Labs., Inc.) IE2011-31 PRMU2011-23 MI2011-23
Recently, pedestrian detection from in-vehicle camera images is being focused.
However, it is difficult to detect pedes... [more]
IE2011-31 PRMU2011-23 MI2011-23
pp.127-132
 Results 1 - 4 of 4  /   
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