Authors:
O. Deniz
;
M. Castrillon
;
J. Lorenzo
and
L. A. Canalis
Affiliation:
Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numericas en Ingenieria, Universidad de Las Palmas de Gran Canaria, Spain
Keyword(s):
Social robotics, sociable robot, person detection, omnidirectional vision.
Related
Ontology
Subjects/Areas/Topics:
Human-Robots Interfaces
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
;
Vision, Recognition and Reconstruction
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 person tracking and recognition system is described. Finally, a simple head nod and shake detector is described, suitable for detecting affirmative/negative, approval/disapproval, understanding/disbelief head gestures.