@conference {919,
	title = {Comparing a Kalman Filter and a Particle Filter in a Multiple Objects Tracking Application},
	booktitle = {2007 IEEE International Symposium on Intelligent Signal Processing},
	year = {2007},
	month = {10/2007},
	pages = {1-6},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Alcal{\'a} de Henares, Spain},
	abstract = {Two of the most important solutions in position estimation are compared, in this paper, in order to test their efficiency in a multi-tracking application in an unstructured and complex environment. A Particle Filter is extended and adapted with a clustering process in order to track a variable number of objects. The other approach is to use a Kalman Filter with an association algorithm for each of the objects to track. Both algorithms are described in the paper and the results obtained with their real-time execution in the mentioned application are shown. Finally interesting conclusions extracted from this comparison are remarked at the end.},
	keywords = {Multi-Object Tracking, position estimation, Probabilistic Algorithms, robotics},
	isbn = {978-1-4244-0829-0},
	doi = {10.1109/WISP.2007.4447520 },
	url = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?asf_arn=null\&asf_iid=null\&asf_pun=4447489\&asf_in=null\&asf_rpp=null\&asf_iv=null\&asf_sp=null\&asf_pn=3 },
	attachments = {https://geintra-uah.org/en/system/files/private/wisp07_def.pdf},
	author = {Marta Marron and Garcia, Juan Carlos and Miguel Angel Sotelo and M. Cabello and Daniel Pizarro and Francisco Huerta and Jesus Cerro}
}
