Modeling visual attention via selective tuning
Artificial Intelligence - Special volume on computer vision
Nonrigid motion analysis: articulated and elastic motion
Computer Vision and Image Understanding
The handbook of brain theory and neural networks
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Computer Vision and Image Understanding
A framework for visual motion understanding
A framework for visual motion understanding
A Neural Model of Smooth Pursuit Control and Motion Perception by Cortical Area MST
Journal of Cognitive Neuroscience
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Computer Vision and Image Understanding
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The Selective Tuning Model is aproposal for modelling visual attention in primatesand humans. This paper describes ongoing researchto include attention to motion stimuli within themodel. The effort is unique because it seems thatno past model presents a motion hierarchy plusattention to motion. We propose a biologicallyrealistic model of the primate visual motion systemattempting to explain how a hierarchical feedforwardnetwork consisting of layers representingcortical areas V1, MT, MST, and 7a detects andclassifies different kinds of motion patterns. TheSTM model is then integrated into this hierarchydemonstrating that successfully attending to motionpatterns results in localization (segmentation) andlabeling of those patterns.