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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2016-06-10
09:30
Hokkaido Kushiro Tourism and Convention cent. Relation between Image Blur of Foreground Object and Detection Accucary on Blur-Based Object Detection
Shingo Kobayashi, Ryusuke Miyamoto (Meiji Univ.) SIS2016-10
The authors proposed the method about object detection scheme use image blur.
The study so far, we only used the obje... [more]
SIS2016-10
pp.49-54
PRMU 2014-06-20
10:00
Tokyo   A novel preprocessing technique for training Viola-Jones hand detector
Shuqiong Wu, Hiroshi Nagahashi (Tokyo Inst. of Tech.) PRMU2014-28
Viola-Jones method combines Haar-like features with AdaBoost classifier. It is widely used in real time object detection... [more] PRMU2014-28
pp.37-41
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-03
09:30
Tottori   Reducing False Positive Rate for Viola-Jones Method in Hand Detection
Shuqiong Wu, Hiroshi Nagahashi (Tokyo Inst. of Tech.) PRMU2013-45 IBISML2013-25
The Viola-Jones object detector is a machine learning based method which combines Haar-like features with AdaBoost class... [more] PRMU2013-45 IBISML2013-25
pp.149-153
SDM, ICD 2013-08-02
16:30
Ishikawa Kanazawa University Affine motion model estimation processor applied to face parts tracking
Shunsuke Morita, Masayuki Miyama, Yoshio Matsuda (Kanazawa Univ.) SDM2013-86 ICD2013-68
A classifier learned by Adaboost and Haar-like feature is often used for detection of face-face parts. Although the dete... [more] SDM2013-86 ICD2013-68
pp.111-116
CPSY 2012-10-12
09:20
Hiroshima   Object Detection Based on Haar-like Features with Massive-Parallel Memory-Embedded SIMD Matrix Processor
Mutsumi Omori, Tetsushi Koide, Hirokazu Hiramoto (Hiroshima Univ.) CPSY2012-32
We have developed Massive-Parallel Memory-Embedded SIMD (Single Instruction Multiple Data) Matrix Processor which can pr... [more] CPSY2012-32
pp.7-12
CQ, MVE, IE
(Joint) [detail]
2011-03-07
10:55
Nagasaki Yasuragi IOUJIMA Facial Expression Recognition Algorithm for Reaction Scene Detection by Contents Viewer
Midori Shinkaku, Airi Sonehara, Akihisa Kodate (Tsuda College), Tatsuya Yamazaki (NICT), Soma Mitra (C-DAC), Eriko Watanabe (Univ. of Electro-Comm.), Kashiko Kodate (Japan Women's Univ.) IE2010-164 MVE2010-152
With the rapid increase of various digital contents over the Internet, the demand to design and build more user friendly... [more] IE2010-164 MVE2010-152
pp.107-112
PRMU 2008-12-19
14:15
Kumamoto Kumamoto Univ. Context-based Robust Face Detection Algorithm for Surveillance Cameras
Shotaro Miwa, Hiroshi Kage, Kazuhiko Sumi (Mitsubishi Electric Corp.) PRMU2008-181
This paper describes a context-based robust face detection framework for surveillance cameras. Different from familiar f... [more] PRMU2008-181
pp.201-206
SIS 2008-12-05
16:20
Osaka Kansai Univ. FPGA Design of AdaBoost-based Sign Recognition for Miniature Robot
Yutaka Usui (RayTron), Katsuya Kondo (tottori univ)
In this report, we propose an FPGA design of sign recognition. The implemented FPGA will be embedded in a moving miniatu... [more] SIS2008-70
pp.157-160
IE, MVE 2008-07-15
13:25
Nagano Shinshu University A Study on Real-Time Human 3D-Localization System
Yutaro Takayanagi, Jiro Katto (Waseda Univ.) IE2008-45 MVE2008-39
In this research, we implement an application prototype to detect human 3D location which calibrates a low resolution si... [more] IE2008-45 MVE2008-39
pp.73-76
NC, MBE
(Joint)
2008-03-14
14:30
Tokyo Tamagawa Univ Learning algorithm of boosted cascade for recognizing different kind objects having similar features
Kota Kaya, Hiroshi Ando, Atsushi Iwata (Hiroshima Univ.) NC2007-195
Detection for two kinds of objects based on similar features and non-similar features is realized using the object detec... [more] NC2007-195
pp.489-494
IE, ITE-BCT, ITE-ME, ITE-AIT 2007-11-29
16:05
Saga Saga University Frontal face extraction in video image
Masashi Oya, Makoto Kosugi, Nobuhiko Mukai (Musashi Tech) IE2007-97
As a low-resolution camera is commonly used for monitoring, person’s size in an image becomes very small. In this paper,... [more] IE2007-97
pp.41-46
 Results 1 - 11 of 11  /   
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