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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 65 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, CAS, CS 2013-03-15
15:10
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) A Study on Multimodal Biometrics Authentication Method Using Features in Utterance
Takeshi Nishino, Yoshinobu Kajikawa, Mitsuji Muneyasu (Kansai Univ.) CAS2012-141 SIP2012-172 CS2012-147
In this paper, we propose a biometrics authentication method using multimodal features in utterance.
The multimodal fea... [more]
CAS2012-141 SIP2012-172 CS2012-147
pp.259-264
MVE, IE, WIT, IMQ, CQ
(Joint) [detail]
2013-03-11
10:35
Fukuoka Fukuoka Institute of Technology A Study on Smoke Detection Method Based on LBP Featured and AdaBoost
Yusuke Iida, Hidenori Maruta, Fujio Kurokawa (Nagasaki Univ.) IMQ2012-44 IE2012-148 MVE2012-105 WIT2012-54
Smoke occurs simultaneously with a fire and we can observe it even if the fire is not in the field of view of the camera... [more] IMQ2012-44 IE2012-148 MVE2012-105 WIT2012-54
pp.57-62
SP 2013-02-28
15:00
Aichi Daido University [Poster Presentation] Comparison of classification methods for multi-modal voice activity detection
Hiroya Okuda, Satoshi Tamura, Satoru Hayamizu (Gifu Univ.) SP2012-124
Automatic Speech Recognition (ASR) technology has been developed and used in various situations, such as car navigation ... [more] SP2012-124
pp.31-32
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-24
09:30
Kyoto   A Model of Dynamic Saliency for Human Detection
Yohei Takayanagi, Yuko Ozasa, Naoko Enami, Yasuo Ariki (Kobe Univ.) PRMU2012-103 MVE2012-68
(To be available after the conference date) [more] PRMU2012-103 MVE2012-68
pp.187-191
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
CAS, CS, SIP 2012-03-09
13:50
Niigata The University of Niigata A Study on Multimodal Biometrics Authentication Method Using Features in Utterance
Atsushi Sayo, Yoshinobu Kajikawa, Mitsuji Muneyasu (Kansai Univ.) CAS2011-158 SIP2011-178 CS2011-150
In this paper, we propose a biometrics authentication method using multimodal features in utterance.
The multimodal fea... [more]
CAS2011-158 SIP2011-178 CS2011-150
pp.287-292
VLD 2012-03-07
11:35
Oita B-con Plaza An Implementation of Real-time Image Recognition Hardware for Many Cameras
Eiichi Hosoya, Takashi Aoki, Takuya Otsuka, Yusuke Sekihara, Akira Onozawa (NTT) VLD2011-137
Real-time object recognition for many cameras is becoming important in many surveillance applications. Image recognition... [more] VLD2011-137
pp.103-108
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2012-02-21
09:20
Hokkaido Hokkaido Univ. Classification of Drivers' Drowsy States with Respect to Individual Difference Based on Application of Subjective Rating by Facial Expression
Ayumi Tsuchida, Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) ITS2011-49 IE2011-125
In the recent years, the development of safety system technologies have contributed to reduce deaths from traffic accide... [more] ITS2011-49 IE2011-125
pp.251-256
MI 2012-01-20
11:25
Okinawa   Detection of the liver hemangioma from 3D abdominal CT images by using local intensity features and multi-class classifier
Yoshitaka Sakamoto, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (AIT), Shigeru Nawano (IHW), Kensaku Mori (Nagoya Univ) MI2011-146
In this paper, we propose a method for detecting hemangioma from four-phases contrasted 3D abdominal CT images.
In our ... [more]
MI2011-146
pp.383-388
MI 2012-01-20
11:25
Okinawa   A study on automated anatomical labeling to abdominal arteries in 3D abdominal CT images by using multil-class AdaBoost -- Improvement of classifiers of the artery names --
Bui Huy Hoang, Masahiro Oda, Yukitaka Nimura (Meidai), Takayuki Kitasaka (Aichi Institute of Technology), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Meidai) MI2011-148
We have developed an automated anatomical labeling method for the abdominal arteries to support understanding of the str... [more] MI2011-148
pp.395-400
ICD, IE, SIP, IPSJ-SLDM [detail] 2011-10-25
10:45
Miyagi Ichinobo(Sendai) A Study on Biometrics Authentication Method Using Features in Utterance
Atsushi Sayo, Yoshinobu Kajikawa, Mitsuji Muneyasu (Kansai Univ.) SIP2011-71 ICD2011-74 IE2011-70
In this paper, we propose a biometrics authentication method using features in utterance.
The features in utterance con... [more]
SIP2011-71 ICD2011-74 IE2011-70
pp.55-60
NC 2011-10-20
09:30
Fukuoka Ohashi Campus, Kyushu Univ. Introduction of Spatial Limitation to Human Detection by Co-occurrence with Shape and Color Self-Similarity Features
Hironori Matsui, Akitoshi Hanazawa (Kyutech) NC2011-59
In this paper, we propose a method for human detection with a spatial limitation introduced to the co-occurrence algorit... [more] NC2011-59
pp.83-88
PRMU, IBISML, IPSJ-CVIM [detail] 2011-09-05
10:00
Hokkaido   Extraction method of red algae for fishery investigation in Laminaria fishery
Takeshi Hagisawa, Koichiro Enomoto, Masashi Toda (Future Univ.-Hakodate), Masakatu Tamura (Habomai Fishery Coop.), Masafumi Kimura (Nemuro Fishieries Extension Office), Sakae Takeda (Rishiri District Fisheries Extension Office) PRMU2011-62 IBISML2011-21
Recently, using an underwater video camera has become an increasingly common way to investigate Laminaria beds. However,... [more] PRMU2011-62 IBISML2011-21
pp.31-36
PRMU 2011-03-10
10:40
Ibaraki   Sound Source Detection
Chihiro Ikeda, Yaokai Feng, Seiichi Uchida (Kyushu Univ,) PRMU2010-248
(To be available after the conference date) [more] PRMU2010-248
pp.67-72
VLD 2011-03-03
11:50
Okinawa Okinawaken-Danjo-Kyodo-Sankaku Center A scalable hardware architecture for real time image recognition
Takashi Aoki, Eiichi Hosoya, Takuya Otsuka, Akira Onozawa (NTT) VLD2010-129
A scalable hardware architecture is proposed for real time image recognition application.
The hardware creates feature... [more]
VLD2010-129
pp.75-80
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2011-02-21
16:00
Hokkaido Hokkaido University Detection of Drowsiness Driving using Seat Pressure Level
Akihiro Imai, Koji Oguri (Aichi Prefectural Univ.) ITS2010-49 IE2010-124
In the recent years, the development of safety system technologies have contributed to reduce deaths from traffic accide... [more] ITS2010-49 IE2010-124
pp.147-152
RECONF, VLD, CPSY, IPSJ-SLDM [detail] 2011-01-18
09:40
Kanagawa Keio Univ (Hiyoshi Campus) FPGA implementation of human detectin with HOG features and AdaBoost
Kazuhiro Negi, Keisuke Dohi, Yuichiro Shibata, Kiyoshi Oguri (Nagasaki Univ.) VLD2010-100 CPSY2010-55 RECONF2010-69
An increase in in-home accidental deaths of elderly person caused by
falling and fainting, which are nonfatal if detect... [more]
VLD2010-100 CPSY2010-55 RECONF2010-69
pp.117-122
IPSJ-SLDM, SIP, IE, ICD [detail] 2010-10-05
10:20
Chiba Makuhari Messe, International Conference Hall A study on classifier generation methods for personal authentication system using lip variation
Atsushi Sayo, Yoshinobu Kajikawa, Mitsuji Muneyasu (Kansai Univ.) SIP2010-54 ICD2010-68 IE2010-72
In this paper, we propose classifier generation methods for a personal authentication system using lip variation. The pe... [more] SIP2010-54 ICD2010-68 IE2010-72
pp.7-12
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-05
16:00
Fukuoka Fukuoka Univ. Facial Expression Recognition by Ensemble Learning Using Movements of Facial Feature Points
Hiroki Nomiya, Teruhisa Hochin (KIT) PRMU2010-68 IBISML2010-40
We propose a facial expression recognition method using several facial feature points such as end points and centroids o... [more] PRMU2010-68 IBISML2010-40
pp.85-92
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-05
16:30
Fukuoka Fukuoka Univ. Sound Source Detection by Learning
Chihiro Ikeda, Yaokai Feng, Seiichi Uchida (Kyushu Univ.) PRMU2010-69 IBISML2010-41
Sound source detection in an image is a difficult inverse problem where the pixels belonging to the sound source area ar... [more] PRMU2010-69 IBISML2010-41
pp.93-98
 Results 21 - 40 of 65 [Previous]  /  [Next]  
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