@conference {cLopez-Mendez11a,
	title = {Real-time upper body tracking with online initialization using a range sensor},
	booktitle = {2011 IEEE International Conference on Computer VIsion Workshops (ICCV Workshops)},
	year = {2011},
	pages = {391{\textendash}398},
	abstract = {<p>We present a novel method for upper body pose estimation with online initialization of pose and the anthropometric profile. Our method is based on a Hierarchical Particle Filter that defines its likelihood function with a single view depth map provided by a range sensor. We use Connected Operators on range data to detect hand and head candidates that are used to enrich the Particle Filter{\textquoteright}s proposal distribution, but also to perform an automated initialization of the pose and the anthropometric profile estimation. A GPU based implementation of the likelihood evaluation yields real-time performance. Experimental validation of the proposed algorithm and the real-time implementation are provided, as well as a comparison with the recently released OpenNI tracker for the Kinect sensor.</p>},
	isbn = {978-1-4673-0063-6/11},
	doi = {10.1109/ICCVW.2011.6130268},
	url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6130268},
	author = {L{\'o}pez-M{\'e}ndez, A. and Alcoverro, M. and M. Pard{\`a}s and Casas, J.}
}
