TY - CONF T1 - Robust People Detection and Tracking from an overhead Time-of-Flight Camera T2 - 12th International Conference on Computer Vision Theory and Applications. Y1 - 2017 A1 - Fernandez-Rincon, Alvaro A1 - D. Fuentes A1 - Cristina Losada-GutiƩrrez A1 - Marta Marron A1 - Carlos Andres Luna A1 - Javier Macias-Guarasa A1 - Manuel Mazo KW - People Detection KW - Time-of-Flight KW - ToF Camera KW - ToF Camera. KW - Tracking AB - 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. JF - 12th International Conference on Computer Vision Theory and Applications. PB - INSTICC/SCITEPRESS CY - Porto, Portugal VL - 4 SN - 978-989-758-225-7 ER -