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Technical Committee on Pattern Recognition and Media Understanding (PRMU)  (Searched in: 2017)

Search Results: Keywords 'from:2017-05-25 to:2017-05-25'
[Go to Official PRMU Homepage (Japanese)] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 21 - 25 of 25 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IE, MI, SIP 2017-05-26
11:30		 Aichi   High-accurate heart rate estimation from facial videos based on ICA-R
Terumi Umematsu, Masanori Tsujikawa (NEC) SIP2017-20 IE2017-20 PRMU2017-20 MI2017-20		 We propose a novel heart rate (HR) estimation method from facial videos captured with a web camera on the basis of indep... [more] SIP2017-20 IE2017-20 PRMU2017-20 MI2017-20
pp.101-106
PRMU, IE, MI, SIP 2017-05-26
12:00		 Aichi   Learning Rate Control of Nonseparable Oversampled Lapped Transform Design by Stochastic Gradient Descent
Genki Fujii, Shogo Muramatsu (Niigata Univ.) SIP2017-21 IE2017-21 PRMU2017-21 MI2017-21		  [more] SIP2017-21 IE2017-21 PRMU2017-21 MI2017-21
pp.107-112
PRMU, IE, MI, SIP 2017-05-26
11:00		 Aichi   Interaction Analysis based on Non-Verbal Features
Nuo Zhang, Tomotake Kozu (Tohmatsu) SIP2017-22 IE2017-22 PRMU2017-22 MI2017-22		 Communication between humans, including words, facial expressions, gestures and postures, is a very complicated process.... [more] SIP2017-22 IE2017-22 PRMU2017-22 MI2017-22
pp.113-117
PRMU, IE, MI, SIP 2017-05-26
11:30		 Aichi   Improvement of LLAH by high-speed character area estimation in captured document image -- Fast estimation of characters and noise and image normalization --
Kohei Miyamoto, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.) SIP2017-23 IE2017-23 PRMU2017-23 MI2017-23		 (To be available after the conference date) [more] SIP2017-23 IE2017-23 PRMU2017-23 MI2017-23
pp.119-124
PRMU, IE, MI, SIP 2017-05-26
12:00		 Aichi   Background Modeling based on Gaussian Mixture Model using Spatial Features
Kan Zheng, Toshio Kondo, Yuki Fukazawa, Takahiro Sasaki (Mie Univ.) SIP2017-24 IE2017-24 PRMU2017-24 MI2017-24		 Many methods for detecting a moving object from surveillance video using a background model have been proposed. Mixed Ga... [more] SIP2017-24 IE2017-24 PRMU2017-24 MI2017-24
pp.125-130
 Results 21 - 25 of 25 [Previous]  /   
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