Presentation 2007-09-03
Gaze Recognition Using Discreteness of its Movement
Toshihiko YAMAHATA, Shinya FUJIE, Tetsunori KOBAYASHI,
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Abstract(in English) We've tried to improve gaze recognition accuracy by integrating information of image sequence and utilizing discreteness of gaze movement. Single image of eye region gives information about not only gaze direction but also individuality and environments, such as illumination conditions. Since such information, not essentially related to gaze direction, affects image strongly, the person environment independent gaze model which is trained with a lot of image including such information might not work so well because of its ambiguity. On the other hand, during one dialogue session, the dialogue partner never changes and it is quite rare that the environment changes rapidly. Thus, information given by difference between the frames should not be affected by individuality and environment. Moreover, human tends to repeat instantaneous change and brief fix of gaze direction. In this study, we capture these instantaneous change and confirm the information given by both single image and multiple images using state transition model to obtain the most likely sequence of gaze directions. In the experiment with actual dialogue data, our method achieved 0.89 of F-value while only single image achieved 0.66.
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Paper # PRMU2007-60,HIP2007-69
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Committee HIP
Conference Date 2007/8/27(1days)
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Language JPN
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Title (in English) Gaze Recognition Using Discreteness of its Movement
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1st Author's Name Toshihiko YAMAHATA
1st Author's Affiliation School of Science and Engineering, Waseda University()
2nd Author's Name Shinya FUJIE
2nd Author's Affiliation Advanced Research Institute for Science and Engineering, Waseda University
3rd Author's Name Tetsunori KOBAYASHI
3rd Author's Affiliation Advanced Research Institute for Science and Engineering, Waseda University
Date 2007-09-03
Paper # PRMU2007-60,HIP2007-69
Volume (vol) vol.107
Number (no) 207
Page pp.pp.-
#Pages 6
Date of Issue