Head pose estimation & TV Context: current technology

Journal Title: EAI Endorsed Transactions on Creative Technologies - Year 2015, Vol 2, Issue 3


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.

Authors and Affiliations

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


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  • EP ID EP45829
  • DOI http://dx.doi.org/10.4108/ct.2.3.e2
  • Views 337
  • Downloads 0

How To Cite

Francois Rocca, Matei Mancas, Fabien Grisard, Julien Leroy, Thierry Ravet, Bernard Gosselin (2015). Head pose estimation & TV Context: current technology. EAI Endorsed Transactions on Creative Technologies, 2(3), -. https://europub.co.uk/articles/-A-45829