DocumentCode :
3745924
Title :
Head Nod Detection from a Full 3D Model
Author :
Yiqiang Chen;Yu Yu;Jean-Marc Odobez
Author_Institution :
Idiap Res. Inst., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
fYear :
2015
Firstpage :
528
Lastpage :
536
Abstract :
As a non-verbal communication mean, head gestures play an important role in face-to-face conversation and recognizing them is therefore of high value for social behavior analysis or Human Robotic Interactions (HRI) modelling. Among the various gestures, head nod is the most common one and can convey agreement or emphasis. In this paper, we propose a novel nod detection approach based on a full 3D face centered rotation model. Compared to previous approaches, we make two contributions. Firstly, the head rotation dynamic is computed within the head coordinate instead of the camera coordinate, leading to pose invariant gesture dynamics. Secondly, besides the rotation parameters, a feature related to the head rotation axis is proposed so that nod-like false positives due to body movements could be eliminated. The experiments on two-party and four-party conversations demonstrate the validity of the approach.
Keywords :
"Face","Feature extraction","Three-dimensional displays","Cameras","Hidden Markov models","Fourier transforms","Mathematical model"
Publisher :
ieee
Conference_Titel :
Computer Vision Workshop (ICCVW), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICCVW.2015.75
Filename :
7406424
Link To Document :
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