Paper Abstract and Keywords |
Presentation |
2011-02-22 15:10
Evaluating Conventional Saliency Map Models for Estimating Human Egocentric Visual Attention Kentaro Yamada, Yusuke Sugano, Takahiro Okabe, Yoichi Sato (The Univ. of Tokyo), Akihiro Sugimoto (NII), Kazuo Hiraki (The Univ. of Tokyo) HIP2010-94 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The validity of using conventional saliency map models to predict human attention was investigated for video captured with an egocentric camera.
To evaluate the validity of using saliency map models for egocentric vision, an experiment was carried out to examine the correlation between saliency maps and measured gaze points for egocentric vision.
The results show that conventional models can predict visually salient regions better than chance for egocentric vision and
that the accuracy decreases significantly with an increase in visual motion induced by egomotion, which is presumably compensated for in the human visual system.
This latter finding indicates that a visual saliency model is needed that can better predict human visual attention from egocentric videos. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Visual saliency / Visual attention / Gaze / First person vision / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 110, no. 422, HIP2010-94, pp. 81-86, Feb. 2011. |
Paper # |
HIP2010-94 |
Date of Issue |
2011-02-14 (HIP) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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HIP2010-94 |
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