Title :
Visual people detection for safe Human-Robot Interaction
Author :
Martinez-Martin, Ester ; del Pobil, Angel P.
Author_Institution :
Eng. & Comput. Sci. Dept., Univ. Jaume-I, Castellon, Spain
Abstract :
The ability of any robot to robustly detect and recognize people is a fundamental issue to allow safe Human-Robot Interactions. This ability allows the system to deal with situations that are not determined a priori, while safely performing its tasks. Some research has been carried out on this topic, although most of the proposed approaches restrict the systems autonomy, flexibility and/or performance time. In this paper, we present a visual application for human detection and recognition without limiting the systems capabilities.
Keywords :
human-robot interaction; object detection; object recognition; robot vision; safety; people recognition; safe human-robot interaction; systems autonomy; systems capabilities; visual application; visual people detection; Cameras; Computer vision; Feature extraction; Image color analysis; Robustness; Visualization;
Conference_Titel :
RO-MAN, 2013 IEEE
Conference_Location :
Gyeongju
DOI :
10.1109/ROMAN.2013.6628478