Head pose estimation & TV Context: current technology

Francois Rocca; Matei Mancas; Fabien Grisard; Julien Leroy; Thierry Ravet; Bernard Gosselin

Research Article

Head pose estimation & TV Context: current technology

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@ARTICLE{10.4108/ct.2.3.e2,
    author={Francois Rocca and Matei Mancas and Fabien Grisard and Julien Leroy and Thierry Ravet and Bernard Gosselin},
    title={Head pose estimation \& TV Context: current technology},
    journal={EAI Endorsed Transactions on Creative Technologies},
    volume={2},
    number={3},
    publisher={ICST},
    journal_a={CT},
    year={2015},
    month={6},
    keywords={head pose estimation, viewer interest, face direction, Qualisys, Kinect, face tracking, 3D point cloud},
    doi={10.4108/ct.2.3.e2}
}

Francois Rocca
Matei Mancas
Fabien Grisard
Julien Leroy
Thierry Ravet
Bernard Gosselin
Year: 2015
Head pose estimation & TV Context: current technology
CT
ICST
DOI: 10.4108/ct.2.3.e2

Francois Rocca¹^,*, Matei Mancas¹, Fabien Grisard¹, Julien Leroy¹, Thierry Ravet¹, Bernard Gosselin¹

1: University of Mons (UMONS), Faculty of Engineering (FPMs), 20, Place du Parc, 7000 Mons, Belgium

*Contact email: francois.rocca@umons.ac.be

Abstract

With the arrival of low-cost high quality cameras, implicit user behaviour tracking is easier and it becomes very interesting for viewer modelling and content personalization in a TV context. In this paper, we present a comparison between three common algorithms of automatic head direction extraction for a person watching TV in a realistic context. Those algorithms compute the different rotation angles of the head (pitch, roll, yaw) in a non-invasive and continuous way based on 2D and/or 3D features acquired with low cost cameras. These results are compared with a reference based on the Qualisys motion capture commercial system which is a robust marker-based tracking system. The performances of the different algorithms are compared function of different configurations. While our results show that full implicit behaviour tracking in real-life TV setups is still a challenge, with the arrival of next generation sensors (as the new Kinect one sensor), accurate TV personalization based on implicit behaviour is close to become a very interesting option.

Keywords: head pose estimation, viewer interest, face direction, Qualisys, Kinect, face tracking, 3D point cloud

Received: 9th Jun 2014
Accepted: 23rd Mar 2015
Published: 2nd Jun 2015
Publisher: ICST

: http://dx.doi.org/10.4108/ct.2.3.e2

Copyright © 2015 F. Rocca et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.