
Proceedings Paper
Distance-invariant automatic engagement level recognition using visual cuesFormat | Member Price | Non-Member Price |
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Paper Abstract
In a camera-based engagement level recognition, a face is an important factor because cues mainly come from a face, which is affected from a distance between a camera and a user. In this paper, we present an automatic engagement level recognition method showing stable performance regardless of a distance between a camera and a user. We show a detailed process about getting a distance-invariant cue and compare its performance with and without the process. We also adopt a temporal pyramid structure to extract temporal statistical feature and present a voting method for an engagement level estimation. We show the results and the analysis using the database acquired in the real environment.
Paper Details
Date Published: 9 December 2015
PDF: 5 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 98170N (9 December 2015); doi: 10.1117/12.2227985
Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)
PDF: 5 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 98170N (9 December 2015); doi: 10.1117/12.2227985
Show Author Affiliations
Woo-han Yun, Electronics and Telecommunications Research Institute (Korea, Republic of)
Dongjin Lee, Electronics and Telecommunications Research Institute (Korea, Republic of)
Dongjin Lee, Electronics and Telecommunications Research Institute (Korea, Republic of)
Chankyu Park, Electronics and Telecommunications Research Institute (Korea, Republic of)
Jaehong Kim, Electronics and Telecommunications Research Institute (Korea, Republic of)
Jaehong Kim, Electronics and Telecommunications Research Institute (Korea, Republic of)
Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)
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