@article {aCanton-Ferrer11a,
	title = {Multi-camera multi-object voxel-based Monte Carlo 3D tracking strategies},
	journal = {Eurasip journal on advances in signal processing},
	volume = {2011},
	number = {114},
	year = {2011},
	pages = {1{\textendash}15},
	abstract = {<p>This article presents a new approach to the problem of simultaneous tracking of several people in low-resolution sequences from multiple calibrated cameras. Redundancy among cameras is exploited to generate a discrete 3D colored representation of the scene, being the starting point of the processing chain. We review how the initiation and termination of tracks influences the overall tracker performance, and present a Bayesian approach to efficiently create and destroy tracks. Two Monte Carlo-based schemes adapted to the incoming 3D discrete data are introduced. First, a particle filtering technique is proposed relying on a volume likelihood function taking into account both occupancy and color information. Sparse sampling is presented as an alternative based on a sampling of the surface voxels in order to estimate the centroid of the tracked people. In this case, the likelihood function is based on local neighborhoods computations thus dramatically decreasing the computational load of the algorithm. A discrete 3D re-sampling procedure is introduced to drive these samples along time. Multiple targets are tracked by means of multiple filters, and interaction among them is modeled through a 3D blocking scheme. Tests over CLEAR-annotated database yield quantitative results showing the effectiveness of the proposed algorithms in indoor scenarios, and a fair comparison with other state-of-the-art algorithms is presented. We also consider the real-time performance of the proposed algorithm.\&nbsp;</p>},
	issn = {1687-6172},
	doi = {10.1186/1687-6180-2011-114},
	url = {http://asp.eurasipjournals.com/content/2011/1/114},
	author = {Cristian Canton-Ferrer and Casas, J. and M. Pard{\`a}s and Monte, E.}
}
@book {eAguilar07,
	title = {Diccionari de Telecomunicacions},
	year = {2007},
	isbn = {978-84-412-1459-0},
	author = {Aguilar, M. and Alcober, J. and Altes, J. and Aragones, X. and Artigas, D. and Bardes, D. and Barlabe, A. and Bragos, R. and Calderer, J. and Cardama, A. and Casademont, J. and Casals, L. and Comer{\'o}n, A. and Cotrina, J. and Cruz, L. and Federico Dios and Duxans, H. and Esparza, O. and Esquerra, I. and Garcia, D. and Garcias, P. and Gomez, C. and Gorricho, J. and Guinjoan, F. and Hesselbach, X. and Liria, A. and Lopez, J. and Madrenas, J. and Madue{\~n}o, M. and Mestre, F. and Monte, E. and Morros, J.R. and Mu{\~n}oz, J. and Pallar{\'e}s, E. and Pons, J. and Recolons, J. and Rincon, D. and Riu, P. and Pradell, L. and Pascual-Iserte, A. and Prat, L. and Rey, F. and Villares, J.}
}
@inbook {bGasull92,
	title = {Analysis and optimization of the K-Means algorithm for remote sensing applications},
	booktitle = {Pattern recognition and image analysis},
	year = {1992},
	pages = {0{\textendash}0},
	isbn = {9810208812},
	url = {http://cataleg.upc.edu/search~S1*cat/?searchtype=i\&searcharg=+9810208812\&searchscope=1\&SORT=D\&extended=0\&SUBMIT=Cerca\&searchlimits=\&searchorigarg=t+Proceedings+of++Workshop+on+Network+Robot+Systems+2009},
	author = {Gasull, A. and Monte, E. and Torres, L. and Montolio, P. and Marqu{\'e}s, F.}
}
