TY - GEN
T1 - Object-based visual attention: A model for a behaving robot
AU - Orabona, Francesco
AU - Metta, Giorgio
AU - Sandini, Giulio
N1 - Generated from Scopus record by KAUST IRTS on 2023-09-25
PY - 2005/1/1
Y1 - 2005/1/1
N2 - One of the first steps of any visual system is that of locating suitable interest points, “salient regions”, in the scene, to detect events, and eventually to direct gaze toward these locations. In the last few years, object-based visual attention models have received an increasing interest in the literature, the problem, in this case, being that of creating a model of “objecthood” that eventually guides a saliency mechanism. We propose here an object-based model of visual attention and show its instantiation on a humanoid robot. The robot employs action to learn and define its own concept of objecthood.
AB - One of the first steps of any visual system is that of locating suitable interest points, “salient regions”, in the scene, to detect events, and eventually to direct gaze toward these locations. In the last few years, object-based visual attention models have received an increasing interest in the literature, the problem, in this case, being that of creating a model of “objecthood” that eventually guides a saliency mechanism. We propose here an object-based model of visual attention and show its instantiation on a humanoid robot. The robot employs action to learn and define its own concept of objecthood.
UR - http://ieeexplore.ieee.org/document/1565396/
UR - http://www.scopus.com/inward/record.url?scp=77953581271&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2005.502
DO - 10.1109/CVPR.2005.502
M3 - Conference contribution
SN - 0769526608
BT - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
PB - IEEE Computer Society
ER -