PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots
Biologically Motivated Face Selective Attention Model
Neural Information Processing
A computer vision model for visual-object-based attention and eye movements
Computer Vision and Image Understanding
Peripheral-foveal vision for real-time object recognition and tracking in video
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Local energy saliency for bottom-up visual attention
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
A review of log-polar imaging for visual perception in robotics
Robotics and Autonomous Systems
An autonomous visual perception model for robots using object-based attention mechanism
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
A probabilistic model of overt visual attention for cognitive robots
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An object-based visual attention model for robotic applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robot learning in a social robot
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
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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.