Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/16991
Title: Useful computer vision techniques for human-robot interaction
Authors: Déniz Suárez, Oscar
Falcón Martel, Antonio
Mendez, J 
Castrillon, M. 
UNESCO Clasification: 120304 Inteligencia artificial
Keywords: Social robotics
Sociable robot
Person detection
Omnidirectional vision
Robótica, et al
Issue Date: 2004
Journal: Lecture Notes in Computer Science 
Conference: International Conference on Image Analysis and Recognition 
Abstract: This paper describes some simple but useful computer vision techniques for human-robot interaction. First, an omnidirectional camera setting is described that can detect people in the surroundings of the robot, giving their angular positions and a rough estimate of the distance. The device can be easily built with inexpensive components. Second, we comment on a color-based face detection technique that can alleviate skin-color false positives. Third, a simple head nod and shake detector is described, suitable for detecting affirmative/negative, approval/dissaproval, understanding/disbelief head gestures.
URI: http://hdl.handle.net/10553/16991
ISBN: 978-3-540-23240-7
978-3-540-30126-4
ISSN: 0302-9743
DOI: 10.1007/b100438
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [ISSN 0302-9743], v. 3212 LNCS, p. 725-732
Campilho A., Kamel M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3212. Springer, Berlin, Heidelberg, p. 725-732
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