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Attending to Visual Motion
- CVIU
, 2004
"... A novel model of attentive visual motion processing is presented. A new feedforward motion-processing pyramid is described whose motivation lies in the neurobiology of primate motion processes. On this structure the Selective Tuning (ST) model for visual attention is implemented and demonstrated, sh ..."
Abstract
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Cited by 20 (5 self)
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A novel model of attentive visual motion processing is presented. A new feedforward motion-processing pyramid is described whose motivation lies in the neurobiology of primate motion processes. On this structure the Selective Tuning (ST) model for visual attention is implemented and demonstrated, showing how it can localize and label simple motion patterns. There are three main contributions: 1) we present a new feed-forward motion processing hierarchy, the first to include a multi-level decomposition of processing including local spatial derivatives of velocity as a separate layer; 2) we present examples of how ST can operate on this hierarchy to localize and label motion patterns; and, 3) we present a new solution to aspects of the feature binding problem and show it to be sufficient for the task of grouping motion features into coherent object motion. This feature grouping (or binding) is accomplished using a top-down attentional selection mechanism that does not depend on a single location-based saliency representation.
Dealing with 2D translation estimation in log polar imagery
- Image Visual Computation
, 2003
"... Abstract Log-polar mapping has been proposed as a very appropriate space-variant imaging model in active vision applications. This biologically inspired model has several advantages, and facilitates some visual tasks. For example, it provides an efficient data reduction, and simplifies rotational a ..."
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Cited by 6 (2 self)
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Abstract Log-polar mapping has been proposed as a very appropriate space-variant imaging model in active vision applications. This biologically inspired model has several advantages, and facilitates some visual tasks. For example, it provides an efficient data reduction, and simplifies rotational and scaling image transformations. However, simple translations become a difficult transform due to the log-polar geometry. There is no doubt about the importance of translation estimation in active visual tracking. Therefore, in this work, the problem of translation estimation in log-polar images is tackled. Two different approaches are presented, and their performances are evaluated and compared. One approach uses a gradient descent for minimizing a dissimilarity measure, while the other converts the 2D problem into two simpler 1D problems, by using projections. As the experimental results reveal, this second approach, besides being more efficient, can deal with larger translations than the gradient-based search can. q
Optical Flow Computation in the Log-Polar Plane
- in Proc. Int. Conf. on computer analysis of images and patterns CAIP
, 1995
"... : Vision systems with spatially homogeneous resolution are not able to provide a real time response in a dynamically changing environment. A reactive behavior necessitates selective sensing in space. Such a selection can be accomplished by the combination of a space-variant resolution scheme and a ..."
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Cited by 6 (0 self)
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: Vision systems with spatially homogeneous resolution are not able to provide a real time response in a dynamically changing environment. A reactive behavior necessitates selective sensing in space. Such a selection can be accomplished by the combination of a space-variant resolution scheme and a sensor with controllable degrees of freedom. The field of view is split into a homogeneous high resolution area - the fovea - and the periphery with decreasing resolution. Both in neurobiology and in robot vision, models of the resolution decrease towards the image boundaries have been established. The most convincing model is the theory of logarithmic polar mapping. In this paper we propose two new methods for the estimation of the optical flow and its spatial derivatives in the log-polar plane. We study analytically and experimentally the effects of the polar deformation and the decimation due to subsampling on the computation of optical flow. 1 Introduction This paper is concerned with ...
Digital Object Identifier (DOI) 10.1007/s00138-002-0078-x Machine Vision and Applications © Springer-Verlag 2003
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Attending to visual motion
, 2005
"... Visual motion analysis has focused on decomposing image sequences into their component features. There has been little success at re-combining those features into moving objects. Here, a novel model of attentive visual motion processing is presented that addresses both decomposition of the signal in ..."
Abstract
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Visual motion analysis has focused on decomposing image sequences into their component features. There has been little success at re-combining those features into moving objects. Here, a novel model of attentive visual motion processing is presented that addresses both decomposition of the signal into constituent features as well as the re-combination, or binding, of those features into wholes. A new feed-forward motion-processing pyramid is presented motivated by the neurobiology of primate motion processes. On this structure the Selective Tuning (ST) model for visual attention is demonstrated. There are three main contributions: (1) a new feed-forward motion processing hierarchy, the first to include a multi-level decomposition with local spatial derivatives of velocity; (2) examples of how ST operates on this hierarchy to attend to motion and to localize and label motion patterns; and (3) a new solution to the feature binding problem sufficient for grouping motion features into coherent object motion. Binding is accomplished using a top-down selection mechanism that does not depend on a single location-based saliency representation.
