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» A neural model of feature attention in motion perception
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WACV
2007
IEEE
13 years 12 months ago
Motion Estimation Using a General Purpose Neural Network Simulator for Visual Attention
Motion detection and estimation is a first step in the much larger framework of attending to visual motion based on Selective Tuning Model of Visual Attention [1]. In order to be ...
Florentin Dorian Vintila, John K. Tsotsos
ICARCV
2006
IEEE
420views Robotics» more  ICARCV 2006»
13 years 11 months ago
Recognizing People's Faces: from Human to Machine Vision
— As confirmed by recent neurophysiological studies, the use of dynamic information is extremely important for humans in visual perception of biological forms and motion. Apart ...
Massimo Tistarelli, Manuele Bicego, Enrico Grosso
PRL
2006
117views more  PRL 2006»
13 years 5 months ago
Motion features to enhance scene segmentation in active visual attention
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...
María T. López, Antonio Ferná...
NIPS
2004
13 years 7 months ago
Inference, Attention, and Decision in a Bayesian Neural Architecture
We study the synthesis of neural coding, selective attention and perceptual decision making. We build a hierarchical neural architecture that implements Bayesian integration of no...
Angela J. Yu, Peter Dayan
ESANN
2008
13 years 7 months ago
A neural model with feedback for robust disambiguation of motion
Abstract. The aperture problem is a direct consequence of any local detection in the visual perception of motion. It results in ambiguous responses of the local motion detectors. B...
Mauricio Cerda, Bernard Girau