Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/15074
Title: On the use of a low-cost thermal sensor to improve kinect people detection in a mobile robot
Authors: Susperregi, Loreto
Sierra, Basilio
Castrillón, Modesto 
Lorenzo, Javier 
Martínez Otzeta, Jose María
Lazkano, Elena
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Sensor fusion
People detection
Computer vision
Hierarchical classification
Mobile robot/platform
Issue Date: 2013
Journal: Sensors 
Abstract: Detecting people is a key capability for robots that operate in populated environments. In this paper, we have adopted a hierarchical approach that combines classifiers created using supervised learning in order to identify whether a person is in the view-scope of the robot or not. Our approach makes use of vision, depth and thermal sensors mounted on top of a mobile platform.
URI: http://hdl.handle.net/10553/15074
ISSN: 1424-8220
DOI: 10.3390/s131114687
Source: Sensors (Switzerland)[ISSN 1424-8220],v. 13, p. 14687-14713
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