| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IIEEJ, AIT |
2018-08-10
11:50 |
Nagano |
Shinshu Univ. |
Gaze Estimation based on Visual Attention Model
Sho Oi (Ritsumeikan Univ.), Mutsuo Sano (OIT), Hajime Tabuchi, Fumie Saito, Satoshi Umeda (Keio Univ.) |
Gaze information about human is important to judge the attention function in the human. For example, gaze information du... [more] |
AIT2018-167
pp.57-60 |
| HI |
2018-03-07
14:30 |
Tokyo |
Tokyo University of Agriculture and Technology |
A scan-path simulation model based on a probabilistic saliency map with receptive field properties of early visul system
Tomoya Okazaki, Takeshi Kohama (Kindai Univ.) |
The distribution of gaze position while observing natural images has attracted attention as an evaluation index for the ... [more] |
HI2018-47
pp.13-16 |
| HI |
2017-03-08
14:00 |
Tokyo |
Tokyo University of Agriculture and Technology |
A saliency estimation model for egocentric motion patterns considering receptive field properties of early visual system and higher order motion detection mechanisms
Mitsuhiro Kodama, Takeshi Kohama (Kindai Univ.) |
The purpose of this study is to construct a mathematical model which predicts saliency regions in high-speed egocentric-... [more] |
HI2017-56
pp.13-16 |
| HI, 3DMT |
2016-03-08
14:00 |
Tokyo |
Tokyo University of Agriculture and Technology |
A gaze prediction model for scan-path simulation of free-viewing
Hiroki Yoshino, Takeshi Kohama (Kinki Univ.) |
In the processes of gaze shifts on a visual object, cooperative behaviors of bottom-up attention and top–down atte... [more] |
HI2016-46 3DIT2016-5
pp.17-20 |
| HI, 3DMT |
2016-03-08
14:25 |
Tokyo |
Tokyo University of Agriculture and Technology |
A visual search simulation by a neuron network model of visual attention
Yuta Maeda, Akihiro Masaoka, Takeshi Kohama (Kinki Univ.) |
In this study, we proposed a mathematical model of neuron network which concerns the control of visual attention, in ord... [more] |
HI2016-47 3DIT2016-6
pp.21-24 |
| HI |
2014-03-04
16:55 |
Tokyo |
Tokyo University of Agriculture and Technology |
A quantitative evaluation of attentional concentration based on drift eye movement analyses
Daisuke Noguchi, Takeshi Kohama, Sho Kikkawa, Hisashi Yoshida (Kinki Univ.) |
The purpose of this study is to evaluate the effects of visual attention on the dynamics of drift eye movements objectiv... [more] |
HI2014-39
pp.45-48 |
| HI, 3DMT |
2013-03-06
10:30 |
Tokyo |
Tokyo University of Agriculture and Technology |
A mathematical model of working memory system in higher order visual processing
Naoki Nishida, Takeshi Kohama (Kinki Univ.) |
The purpose of this study is to understand the function of working memories while seeking a target during visual search ... [more] |
HI2013-48 3DIT2013-16
pp.27-30 |
| HI, 3DMT |
2013-03-06
10:55 |
Tokyo |
Tokyo University of Agriculture and Technology |
A model for predicting gaze shifts considering scanned log of gazed positions
Mayo Yamasaki, Takeshi Kohama (Kinki Univ.) |
In late years, the distribution of gaze on the media, such as Web contents, are applied to evaluate the attractiveness o... [more] |
HI2013-49 3DIT2013-17
pp.31-34 |
| HI, 3DMT |
2013-03-06
11:20 |
Tokyo |
Tokyo University of Agriculture and Technology |
A visual search model based on the spatio-temporal properties of visual attention in different feature domains.
Katsuya Yano, Takeshi Kohama (Kinki Univ.) |
Previous saliency-based visual attention models dealt with the mechanism underlying attentional shifts in the early visu... [more] |
HI2013-50 3DIT2013-18
pp.35-38 |
| HI, 3DMT |
2013-03-06
11:45 |
Tokyo |
Tokyo University of Agriculture and Technology |
A saliency map model for dynamic images based on receptive field properties of visual area MT
Kodai Tsuda, Takeshi Kohama (Kinki Univ) |
Saliency map models are mathematical expressions of the characteristics of bottom-up attention processing (Itti & Koch, ... [more] |
HI2013-51 3DIT2013-19
pp.39-42 |
| IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2013-02-18
16:00 |
Hokkaido |
Hokkaido Univ. |
Automatic Detection of Major Objects in an Image Based on Visual Attention Model
Jiro Ishitobi, Koh YuenShyuan, Junji Maeda (Muroran IT) |
The purpose of this research is the automatic detection of major objects in a still image. To develop the
techniques of... [more] |
|
| HI |
2011-03-15
16:30 |
Tokyo |
Tokyo Univ. of Tech. |
Saliency map model for visual attention in depth
Taiki Gochi, Takeshi Kohama (Kinki Univ.) |
Previous saliency-based visual attention models dealt with the mechanism underlying attentional shifts in the early visu... [more] |
HI2011-37
pp.31-34 |
| HI |
2011-03-15
16:50 |
Tokyo |
Tokyo Univ. of Tech. |
Mathematical model of the visual attention system in the posterior parietal and prefrontal lobes
Keisuke Sugimoto, Takeshi Kohama (Kinki Univ.) |
In this study, we formulated the activity of the lateral intraparietal (LIP) area neurons in the posterior parietal cort... [more] |
HI2011-38
pp.35-38 |
| IST |
2008-12-16
13:00 |
Tokyo |
Univ. of Tokyo |
ROI detection image sensor based on selective visual attention model
Yosuke Mine, Takayuki Hamamoto (TUS) |
We have been investigating a method of regions of interest (ROI) detection based on information of edge, motion and flic... [more] |
|