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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2022-11-30 10:20 |
Kumamoto | (Primary: On-site, Secondary: Online) |
Deep Learning-based Hierarchical Object Detection System for High-Resolution Images Yusei Horikawa, Makoto Sugaya, Renpei Yoshida, Kazuma Mashiko, Tetsuya Matsumura (Nihon Univ.)  VLD2022-44 ICD2022-61 DC2022-60 RECONF2022-67 |
This paper describes a new deep learning-based hierarchical object detection algorithm for high-resolution vision sensor... [more] | VLD2022-44 ICD2022-61 DC2022-60 RECONF2022-67 pp.144-149 |
| SWIM | 2022-11-26 16:55 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Object Detection Using Gesture Recognition with YOLO
-- Application to Inventory Management -- Tsukasa Kudo (SIST) SWIM2022-27 |
In object detection using deep learning, it is necessary to prepare training data for each object, which is an applicati... [more] | SWIM2022-27 pp.40-47 |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 16:10 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Evaluation of an Offloading Method for Object Detection with Mixed Reality Devices Mitsuhiro Yamashita, Masaki Bandai (Sophia Univ.) NS2022-112 |
Object detection method has significant potential to extend mixed reality (MR) in various fields, but it is difficult to... [more] | NS2022-112 pp.71-74 |
| PRMU | 2022-10-21 16:25 |
Tokyo | Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Heart Detection Method in Non-Contrast Chest CT Image and Application to Calcium Scoring Yuki Sugimoto, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) PRMU2022-31 |
Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcificati... [more] | PRMU2022-31 pp.50-55 |
| MIKA (3rd) |
2022-10-14 10:40 |
Niigata | Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study of Streaming Quality Control based on Object Detection Accuracy Nobuaki Akutsu, Takefumi Hiraguri, Hideaki Yoshino, Nobuhiko Itoh (NIT) |
The purpose of this research is to establish a streaming quality control method that reduces the streaming transmission ... [more] | |
| SWIM, SC | 2022-08-26 11:05 |
Online | Held online | Object Recognition by Fingertip Gestures Utilizing Transfer Learning of YOLOv5 Tsukasa Kudo (SIST) SWIM2022-12 SC2022-18 |
In object recognition for videos and images, when the target area is small, the area is firstly extracted by object dete... [more] | SWIM2022-12 SC2022-18 pp.9-15 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 11:20 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Evaluation of Object Detection AI in Pseudo-Analog Communications Junichiro Yamada, Suto Katsuya (UEC) SR2022-28 |
Roadside video broadcasting is a key technology for cooperative automatic driving. The traditional broadcasting method t... [more] | SR2022-28 pp.36-40 |
| NS, IN (Joint) |
2022-03-11 15:50 |
Online | Online | Development of Machine Learning based Video Transmission Load Reduction System for Remotely Controlled Small Vessels Shunichi Kondo, Hiromu Habuka, Kohta Ohshima (TUMSAT) NS2021-161 |
(To be available after the conference date) [more] | NS2021-161 pp.230-235 |
| PRMU, IPSJ-CVIM | 2022-03-11 14:30 |
Online | Online | Background Mixup Data Augmentation for Hand and Object-in-Contact Detection Koya Tango, Takehiko Ohkawa, Ryosuke Furuta, Yoichi Sato (UTokyo) PRMU2021-82 |
Detecting the position of human hands and an object-in-contact from an image is vital for understanding a user’s actions... [more] | PRMU2021-82 pp.139-144 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 10:55 |
Online | Online (Zoom) | Phalange bone classification and osteotomy line estimation from X-ray images using deep learning Tatsuhiko Sotokawa, Takaharu Yamazaki (SIT), Kazuaki Tanaka (NEOMED.), Keizo Fukumoto (Saitama Jikei Hosp.) IMQ2021-10 IE2021-72 MVE2021-39 |
In this study, we detect and classify the phalanges and estimate the osteotomy line from hand X-ray images using deep le... [more] | IMQ2021-10 IE2021-72 MVE2021-39 pp.1-6 |
| VLD, HWS [detail] | 2022-03-07 16:20 |
Online | Online | AmoebaSAT-based Efficient Accelerator for Autonomous Driving Application Yusuke Inuma, Yuko Hara-Azumi (Tokyo Tech) VLD2021-90 HWS2021-67 |
(To be available after the conference date) [more] | VLD2021-90 HWS2021-67 pp.75-80 |
| VLD, HWS [detail] | 2022-03-08 16:50 |
Online | Online | Physical Spoofing Attack on LiDAR-based Object Detection and Its Demonstration Yuki Fukatsu, Ryuuya Ichinose, Shinsei Ueda, Ataru Kubo, Naoki Yoshida, Tsutomu Matsumoto (Yokohama National Univ.) VLD2021-104 HWS2021-81 |
A variety of technologies are being developed for the practical application of fully autonomous driving. Automated drivi... [more] | VLD2021-104 HWS2021-81 pp.158-163 |
| HPB (2nd) |
2022-02-28 15:36 |
Online | Online | Approach to Identifying Rapid Water Areas by Detecting White Water Using Machine Learning Issei Naruo, Masayuki Iwai (Tokyo Denki University) |
(To be available after the conference date) [more] | |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 15:05 |
Online | Online | A Note on Personalized Saliency Prediction Based on User Similarity Considering Object Information in Images Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a personalized saliency map (PSM) prediction method using a small amount of gaze data based on user ... [more] | |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 13:00 |
Online | Online | ITS2021-51 IE2021-60 |
360° cameras have gained popularity over the last few years. Meanwhile, the development of Deep Neural Networks (DNNs) h... [more] | ITS2021-51 IE2021-60 pp.157-162 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 14:40 |
Online | Online | A Study on Object Detection in Omnidirectional Images Using Deep Learning Yasuyuki Ishida, Toshio Ito (SIT) ITS2021-57 IE2021-66 |
A minimum sensor configuration is desired for a popular automatic vehicle. In this study, an omnidirectional camera with... [more] | ITS2021-57 IE2021-66 pp.190-195 |
| EMM | 2022-01-27 13:25 |
Online | Online | Access Control Using Feature Map Transformation With Secret Key for Object Detection Models Teru Nagamori, Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-85 |
In this paper, we propose an access control method for object detection models. The use of transformed images or transf... [more] |
EMM2021-85 pp.7-12 |
| PRMU | 2021-12-17 11:00 |
Online | Online | Object Detection with FIR Camera using Domain Adaptation Yuzuru Nakamura, Yasunori Ishii, Satoshi Sato, Yuki Maruyama (Panasonic), Takayoshi Yamashita (Chubu University) PRMU2021-50 |
In order to predict by deep learning with FIR (Far Infrared) camera that is invariant to lighting conditions, since a la... [more] | PRMU2021-50 pp.142-147 |
| SWIM | 2021-11-27 15:55 |
Online | Online | Contour Detection Method Using CycleGAN with CG Images as Ground Truth Tsukasa Kudo (SIST) SWIM2021-29 |
In object detection from images, contour detection methods with pixel by pixel manner by using GAN have been proposed. H... [more] | SWIM2021-29 pp.23-28 |
| EMM, EA, ASJ-H | 2021-11-15 13:30 |
Online | Online | [Poster Presentation]
Improving a tracking accuracy using Artificial Fiber Patterns by introducing Wrinkle on clothes and body shape determination Hiroki Urakawa, Kitahiro Kaneda, Keiichi Iwamura (TUS) EA2021-38 EMM2021-65 |
Due to the low cost of equipment, the number of surveillance cameras installed has increased significantly in recent yea... [more] | EA2021-38 EMM2021-65 pp.63-68 |
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