Head pose estimation & TV Context: current technology

Rocca, Francois and Mancas, Matei and Grisard, Fabien and Leroy, Julien and Ravet, Thierry and Gosselin, Bernard (2015) Head pose estimation & TV Context: current technology. EAI Endorsed Transactions on Creative Technologies, 2 (3). e2. ISSN 2409-9708

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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.

Item Type: Article
Uncontrolled Keywords: head pose estimation, viewer interest, face direction, Qualisys, Kinect, face tracking, 3D point cloud
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 06 Apr 2021 11:37
Last Modified: 06 Apr 2021 11:37
URI: https://eprints.eudl.eu/id/eprint/2152

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