@conference {62,
	title = {Robust People Detection and Tracking from an overhead Time-of-Flight Camera},
	booktitle = {12th International Conference on Computer Vision Theory and Applications.},
	volume = {4},
	year = {2017},
	month = {03/2017},
	pages = {556-564},
	publisher = {INSTICC/SCITEPRESS},
	organization = {INSTICC/SCITEPRESS},
	address = {Porto, Portugal},
	abstract = {In this paper we describe a system for robust detection of people in a scene, by using an overhead Time of Flight (ToF) camera. The proposal addresses the problem of robust detection of people, by three means: a carefully designed algorithm to select regions of interest as candidates to belong to people; the generation of a robust feature vector that efficiently model the human upper body; and a people classification stage, to allow robust discrimination of people and other objects in the scene. The proposal also includes a particle filter tracker to allow people identification and tracking. Two classifiers are evaluated, based on Principal Component Analysis (PCA), and Support Vector Machines (SVM). The evaluation is carried out on a subset of a carefully designed dataset with a broad variety of conditions, providing results comparing the PCA and SVM approaches, and also the performance impact of the tracker, with satisfactory results.},
	keywords = {People Detection, Time-of-Flight, ToF Camera, ToF Camera., Tracking},
	isbn = {978-989-758-225-7},
	doi = {10.5220/0006169905560564},
	attachments = {https://geintra-uah.org/system/files/private/robustpeopledetectionandtrackingfromanoverhead-visapp-2017.pdf},
	author = {Fernandez-Rincon, Alvaro and D. Fuentes and Cristina Losada-Guti{\'e}rrez and Marta Marron and Carlos Andres Luna and Javier Macias-Guarasa and Manuel Mazo}
}
