@article {917,
	title = {Comparing Improved Versions of {\textquoteleft}K-Means{\textquoteright} and {\textquoteleft}Subtractive{\textquoteright} Clustering in a Tracking Application},
	journal = {Lecture Notes in Computer Science},
	volume = {4739},
	year = {2007},
	month = {02/2007},
	pages = {717-724},
	publisher = {Springer-Verlag },
	address = {Berlin/Heideberg},
	abstract = {A partitional and a fuzzy clustering algorithm are compared in this
paper in terms of accuracy, robustness and efficiency. 3D position data
extracted from a stereo-vision system have to be clustered to use them in a
tracking application in which a particle filter is the kernel of the estimation task.
{\textquoteleft}K-Means{\textquoteright} and {\textquoteleft}Subtractive{\textquoteright} algorithms have been modified and enriched with
a validation process in order improve its functionality in the tracking system.
Comparisons and conclusions of the clustering results both in a stand-alone
process and in the proposed tracking task are shown in the paper.},
	keywords = {clustering, Multi-Object Tracking, Particle Filters, Probabilistic Algorithms},
	issn = {0302-9743},
	doi = {10.1007/978-3-540-75867-9 },
	url = {http://www.springerlink.com/content/t372500g4j22/$\#$section=379081\&page=1\&locus=0},
	attachments = {https://geintra-uah.org/system/files/private/lncs-eurocast07.pdf},
	author = {Marta Marron and Miguel Angel Sotelo and Garcia, Juan Carlos}
}
