Visual people detection for safe Human-Robot Interaction
Ester Martínez-Martín, Angel Pasqual del Pobil · 2013
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.