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 |