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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 144  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IEICE-SIS, BCT 2023-10-13
10:45
Yamaguchi HISTORIA UBE
(Primary: On-site, Secondary: Online)
Proposal of Nonlinear Queue-flow Detection Method for Person Counting System
Yusheng Luo, Johei Matsuoka (TUT)
The purpose of this study is to improve a conventional waiting person detection system to accommodate non-linear queue s... [more]
IST 2023-09-15
11:05
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Ge-on-Si Stone-circle Image Sensors
T. Goji Etoh (Osaka Univ.), Hideki Mutoh (Link Research), Kentaro Sawano (Tokyo City Univ.), Heiji Watanabe, Takayoshi (Osaka Univ.), Edoardo Charbon (EPFL)
A multi-framing ultra-high-speed image sensor is proposed to achieve a frame interval of 10 ps (equivalent to 100 Gfps) ... [more] IST2023-35
pp.1-4
IIEEJ, AIT 2023-06-04
10:40
Tokyo TOKYO CITY UNIVERSITY
(Primary: On-site, Secondary: Online)
A Method for Counting Passing People Using Person Detection Based on a Combination of Difference Images and Region Growing
Mirai Amo, Youngha Chang, Nobuhiko Mukai (TCU), Yasuzo Tanaka (Takiguchi Corporation)
In this study, we propose a method to measure the number of people based on a bird’s-eye movie. Local Binary Patterns (L... [more] AIT2023-137
pp.51-54
IEICE-BioX, IEICE-SIP, IEICE-IE, IST, ME [detail] 2023-05-19
15:15
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
Object Detection with Split Images Based on Signal Range for Single Exposure High Dynamic Range Image Sensors
Yuta Nakahigashi, Yu Osuka, Kota Yoshida, Shunsuke Okura (Ritsumeikan Univ.)
In this paper, we study object detection with split images based on signal range for single exposure high dynamic range... [more] IST2023-15 ME2023-58
pp.13-18
IEICE-BioX, IEICE-SIP, IEICE-IE, IST, ME [detail] 2023-05-19
16:15
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
Real-Time People Counting Using AI Camera
Danu Syaiful Abu Bakar, Akita Junichi (Kanazawa Univ.)
The study of human behavior and the recording of numbers is of importance in many contexts, both commercial and non-comm... [more] IST2023-17 ME2023-60
pp.25-29
AIT, IIEEJ, AS, CG-ARTS 2023-03-06
14:38
Tokyo Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online)
Mouse classification system used by players in the e-Sports scene.
Takuma Sugiura, Kazuya Ueki (Meisei Univ.)
In recent years, e-Sports, in which computer games are regarded as sports competitions, has become increasingly popular.... [more] AIT2023-65
pp.111-114
AIT, IIEEJ, AS, CG-ARTS 2023-03-06
16:15
Tokyo Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online)
A Study on Improving the Accuracy of Continuous Collision Detection of Rotating Rigid Bodies in Real-Time Graphics
Hikaru Yamamoto, Masaki Abe, Taichi Watanabe (TUT)
Few of the CCD (Continuous Collision Detection) methods in today's computer games deal with rotational motion. In additi... [more] AIT2023-72
pp.139-142
AIT, IIEEJ, AS, CG-ARTS 2023-03-06
12:40
Tokyo Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online)
A Study on Character Input Interface Using Eye Blink Based on Face Landmark Detection for Severely Physically Disabled Persons
Haruki Onuma, Kizuki Morohashi, Junichi Sugita (Tokyo Healthcare Univ.)
Patients with amyotrophic lateral sclerosis (ALS) have limited mobility in the terminal stages of the disease. Therefore... [more] AIT2023-119
pp.297-299
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
15:30
Hokkaido Hokkaido Univ. Evaluating The Effectiveness of Data Augmentation for Learning TrackNetV2
Yushan Wang (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU)
Data augmentation has been widely used in a variety of deep learning tasks, mostly with a positive impact on the results... [more] MMS2023-16 ME2023-36 AIT2023-16
pp.81-84
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-21
15:45
Hokkaido Hokkaido Univ. A Residual U-Net Architecture for Shuttlecock Detection
Muhammad Abdul Haq (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU)
Detection of fast-moving shuttlecocks is essential for badminton video analysis. Several methods based on deep learning ... [more] MMS2023-17 ME2023-37 AIT2023-17
pp.85-88
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-22
13:30
Hokkaido Hokkaido Univ. A study of the image captioning method with person names
Naotsuna Fujimori, Takahiro Mochizuki (NHK)
We have been working on image captioning techniques with the main goal of automatically generating audio description. In... [more] MMS2023-29 ME2023-49 AIT2023-29
pp.225-230
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-22
14:00
Hokkaido Hokkaido Univ. Hierarchical Minimum-Sized Object Detection Method using Clustering Algorithm for UAV Autonomous Flight
Yusei Horikawa, Makoto Sugaya, Tetsuya Matsumura (Nihon Univ)
This paper describes an efficient minimum-sized object detection method in high-Resolution images for UAV autonomous fli... [more] MMS2023-31 ME2023-51 AIT2023-31
pp.235-238
BCT, IEICE-SIS 2022-10-13
16:00
Aomori Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online)
[Invited Talk] Quasiconformal Mapping and its Application -- Numerical Method and Application to Machine Learning --
Hirokazu Shimauchi (Hachinohe Inst. of Tech.)
Quasiconformal mapping is a natural generalization of conformal mapping and plays an important role in the areas of math... [more]
IST 2022-06-29
14:30
Online   Phase-detection autofocus system for 8K three-chip imaging camera
Kodai Kikuchi, Kodai Tomioka, Toshio Yasue, Tomohiro Nakamura, Kazuya Kitamura, Takayuki Yamashita (NHK)
We developed a phase detection autofocus (PDAF) for three-chip imaging broadcasting cameras that detects disparity betwe... [more] IST2022-28
pp.13-16
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
13:40
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Crack Extraction Method for Concrete Walls Using Morphology
Yuki Omori (TUS), Takahiro Natori (Tokai Univ.), Naoyuki Aikawa (TUS)
In recent years, cracks in concrete walls have been inspected using image processing. In this paper, a crack extraction ... [more]
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
16:00
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
Application of LambdaNetwork learning long-range interactions between pixels to metal artifact detection
Daisuke Shigemori, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.)
Although deep learning-based image transformation has been attempted to be applied to metal artifact reduction, feature ... [more]
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] 2022-05-20
16:40
Kumamoto Kumamoto University
(Primary: On-site, Secondary: Online)
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.)
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more]
AIT, IIEEJ, AS, CG-ARTS 2022-03-08
13:16
Online Online Handwritten Text Detection in Manga based on Deep Learning
Zhong Weibo (TUS), Ryosuke Furuta (UTokyo), Yukinobu Taniguchi (TUS), Ryota Hinami, Shonosuke Ishiwatari (Mantra)
In this study, we tackle a problem of detecting bounding boxes of handwritten texts in a manga image. The detection of h... [more] AIT2022-77
pp.149-152
IDY, SID-JC 2022-03-04
15:45
Online online [Invited Talk] Sharp Force Touch for On-Screen User Interface in LCD and OLED Display Application
Takuma Yamamoto, Takenori Maruyama, Kazutoshi Kida, Shinji Yamagishi, Jean de Dieu B. Mugiraneza, Yasuhiro Sugita, Hiroshi Fukushima, Mikihiro Noma (SDTC)
We describe ultra-high sensitive force sensor on flat display that can detect and differentiate between feather touch an... [more] IDY2022-18
pp.31-35
AIT, ME, MMS, IEICE-IE, IEICE-ITS [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] MMS2022-26 ME2022-51 AIT2022-26
pp.181-186
 Results 1 - 20 of 144  /  [Next]  
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