Reference : Estimation of human orientation in images captured with a range camera
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/2268/91403
Estimation of human orientation in images captured with a range camera
English
Pierard, Sébastien mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications >]
Leroy, Damien [> >]
Hansen, Jean-Frédéric [> >]
Van Droogenbroeck, Marc mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications >]
Aug-2011
Advanced Concepts for Intelligent Vision Systems (ACIVS)
Springer
Lecture Notes in Computer Science, Volume 6915
519-530
Yes
No
International
Advanced Concepts for Intelligent Vision Systems (ACIVS)
22-08-2011 to 25-08-2011
Ghent
Belgium
[en] Human ; Detection ; Orientation ; 3D ; Depth ; Range camera ; Machine learning
[en] Estimating the orientation of the observed person is a crucial task for some application fields like home entertainment, man-machine interaction, or intelligent vehicles. In this paper, we discuss the usefulness
of conventional cameras for estimating the orientation, present some limitations, and show that 3D information improves the estimation performance.
Technically, the orientation estimation is solved in the terms of a regression problem and supervised learning. This approach, combined to a slicing method of the 3D volume, provides mean errors as low as 9.2° or 4.3° depending on the set of considered poses. These results are consistent with those reported in the literature. However, our technique is faster and easier to implement than existing ones.
Intelsig
http://hdl.handle.net/2268/91403
10.1007/978-3-642-23687-7_47
http://en.wikipedia.org/wiki/MakeHuman
See the MakeHuman wikipedia page: http://en.wikipedia.org/wiki/MakeHuman

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