By Jonathan Harel, Christof Koch (auth.), Lucas Paletta, John K. Tsotsos (eds.)

This quantity constitutes the completely refereed post-workshop complaints of the fifth overseas Workshop on awareness in Cognitive structures, WAPCV 2008, held in Fira, Santorini, Greece in may perhaps 2008 as an linked occasion of the sixth foreign convention on computing device imaginative and prescient platforms (ICVS 2008).

The thirteen revised complete papers provided including with nine posters, were rigorously chosen from 34 submissions. The papers are prepared in topical sections on awareness in scene exploration, contextueal cueing and saliency, spatiotemporal saliency, attentional networks in addition to attentional modelling.

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Additional info for Attention in Cognitive Systems: 5th International Workshop on Attention in Cognitive Systems, WAPCV 2008 Fira, Santorini, Greece, May 12, 2008 Revised Selected Papers

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Pre-attentive objects’ which are inhibited are marked by a black bounding-box. If the tracking algorithm detects that a ‘pre-attentive object’ has suffered a high shape deformation, it will be not inhibited. Thus, it can be noted that inhibited blobs, like the green cone at frame 11 or the hand at frame 51, are attended at different sequence frames. It must be also noted that the activity follows the ‘pre-attentive objects’ closely, preventing the related templates from being corrupted by occlusions.

46(16), 2535–2545 (2006) 28. : The relation of phase noise and luminance contrast to overt attention in complex visual stimuli. J. Vis. I. es Abstract. This paper proposes an artificial visual attention model which builds a saliency map associated to the sensed scene using a novel perception-based grouping process. This grouping mechanism is performed by a hierarchical irregular structure, and it takes into account colour contrast, edge and depth information. The resulting saliency map is composed by different parts or ‘pre-attentive objects’ which correspond to units of visual information that can be bound into a coherent and stable object.

The results of the separation feed into the corresponding finger maps providing the hand network with the geometrical constraints. Note that, of course, the assumptions about the object- and background-colours represent a strong simplification. On the other hand, this mechanism can be interpreted as mimicking the result of stereo vision. In such a resulting “depth image” real edges suitable for thumb or fingers could be easily identified. The anatomical constraints implemented in the hand network take into account that the human hand cannot form every arbitrary finger configuration to perform grasps.

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