@article {920,
	title = {Combined Stochastic-Deterministic Solution for Tracking Multiple Objects with an Stereo-Vision System},
	journal = {WSEAS Transactions on Signal Processing},
	volume = {2},
	year = {2006},
	month = {02/2006},
	pages = {253-260},
	abstract = {In this paper, the authors propose the use of a probabilistic algorithm to develop a multi-object tracking task. Different solutions have already been proposed by the scientific community to find a solution for this application, and the particle filter is proven to be the best choice in this case as the multimodality character of this Bayes filter implementation can be well-spent: an only particle filter can be used to track a variable number of objects. On the other hand, the flexibility of the particle filter can become in a lack of robustness for the estimator, so a deterministic algorithm is added to the standard filter to increase it. In the following paragraphs the global combined algorithm is described and different tests based on stereo-vision information are also included, proving the reliability of the proposal tracker},
	keywords = {bayesian estimation, Multi-Object Tracking, multimodal probability distribution, Particle Filters, visual tracking},
	issn = {1790-502},
	attachments = {https://geintra-uah.org/system/files/private/journal3.pdf},
	author = {Marta Marron and Miguel Angel Sotelo and Garcia, Juan Carlos}
}
