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Attentional scene segmentation: Integrating depth and motion
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
2000 (English)In: Computer Vision and Image Understanding, ISSN 1077-3142, E-ISSN 1090-235X, Vol. 78, no 3, 351-373 p.Article in journal (Refereed) Published
Abstract [en]

We present an approach to attention in active computer vision. The notion of attention plays an important role in biological vision. In recent years, and especially with the emerging interest in active vision, computer vision researchers have been increasingly concerned with attentional mechanisms as well. The basic principles behind these efforts are greatly influenced by psychophysical research. That is the case also in the work presented here, which adapts to the model of Treisman (1985, Comput. Vision Graphics Image Process. Image Understanding 31., 156-177), with an early parallel stage with preattentive cues followed by a later serial stage where the cues are integrated. The contributions in our approach are (i) the incorporation of depth information from stereopsis, (ii) the simple implementation of low level modules such as disparity and flow by local phase, and (iii) the cue integration along pursuit and saccade mode that allows us a proper target selection based on nearness and motion. We demonstrate the technique by experiments in which a moving observer selectively masks out different moving objects in real scenes.

Place, publisher, year, edition, pages
2000. Vol. 78, no 3, 351-373 p.
Keyword [en]
attention, stereoscopic depth, image flow, motion, cue integration, pursuit, saccade, target selection, vision, pursuit, stereo, system
URN: urn:nbn:se:kth:diva-19847ISI: 000087778200004OAI: diva2:338539
QC 20100525Available from: 2010-08-10 Created: 2010-08-10Bibliographically approved

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Eklundh, Jan-Olof
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