@misc{10481/86424,
year = {2010},
url = {https://hdl.handle.net/10481/86424},
abstract = {This paper describes a system capable of detecting and tracking
various people using a new approach based on stereo vision and fuzzy
logic. First, in the people detection phase, two fuzzy systems are used to
assure that faces detected by the OpenCV face detector actually correspond
to people. Then, in the tracking phase, a set of hierarchical fuzzy
systems fuse depth and color information captured by a stereo camera
assigning different confidence levels to each of these information sources.
To carry out the tracking, several particles are generated while fuzzy systems
compute the possibility that some generated particle corresponds
to the new position of people. The system was tested and achieved interesting
results in several situations in the real world.},
organization = {FCT Scolarship SFRH/BD/22359/2005},
organization = {Spanish MCI Project TIN2007-66367},
organization = {Andalusian Regional Government project P09- TIC-0481},
publisher = {Springer},
keywords = {People Tracking},
keywords = {Stereo Vision},
keywords = {Fuzzy systems},
keywords = {Particle Filtering},
keywords = {Color Information},
title = {Using Stereo Vision and Fuzzy Systems for Detecting and Tracking People},
author = {Paúl, Rui and Aguirre Molina, Eugenio and García Silvente, Miguel and Muñoz Salinas, Rafael},
}