Presentation 2013-11-20
Estimation of Viewer's Gaze State at Video Content on the Basis of Behaviors
Masaki TAKAHASHI, Simon CLIPPINGDALE, Makoto OKUDA, Yuko YAMANOUCHI, Masahide NAEMURA, Masahiro SHIBATA,
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Abstract(in English) A method for estimating whether or not a TV viewer is watching the video content on the basis of the viewer's behaviors in a typical home environment is proposed. Using an input signal provided by a Kinect sensor, it identifies the presence of a viewer by extracting keypoint trajectories hi video sequences of that viewer. It then estimates whether the viewer is gazing at the video content or not on the basis of the viewer's head pose, which is estimated in two different ways: by a color image-based module and by a depth-image-based module. Results from the two modules are combined to increase robustness. To evaluate the proposed method, a simulation test on TV viewing in a typical living space was conducted. The simulation results suggest that the proposed method can robustly detect the viewer's gaze.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Affect recognition / Face tracking / Video-content assessment / Mulimodal user interface
Paper # HIP2013-71
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Conference Information
Committee HIP
Conference Date 2013/11/12(1days)
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Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of Viewer's Gaze State at Video Content on the Basis of Behaviors
Sub Title (in English)
Keyword(1) Affect recognition
Keyword(2) Face tracking
Keyword(3) Video-content assessment
Keyword(4) Mulimodal user interface
1st Author's Name Masaki TAKAHASHI
1st Author's Affiliation NHK Science and Technology Research Laboratories()
2nd Author's Name Simon CLIPPINGDALE
2nd Author's Affiliation NHK Science and Technology Research Laboratories
3rd Author's Name Makoto OKUDA
3rd Author's Affiliation NHK Science and Technology Research Laboratories
4th Author's Name Yuko YAMANOUCHI
4th Author's Affiliation NHK Science and Technology Research Laboratories
5th Author's Name Masahide NAEMURA
5th Author's Affiliation NHK Science and Technology Research Laboratories
6th Author's Name Masahiro SHIBATA
6th Author's Affiliation NHK Science and Technology Research Laboratories
Date 2013-11-20
Paper # HIP2013-71
Volume (vol) vol.113
Number (no) 299
Page pp.pp.-
#Pages 6
Date of Issue