A computational model of depth-based attention

Author

Maki, Atsuto ; Nordlund, Peter ; Eklundh, Jan-Olof

Author_Institution

Dept. of Numerical Anal. & Comput. Sci., R. Inst. of Technol., Stockholm, Sweden

Volume

4

fYear

1996

fDate

25-29 Aug 1996

Firstpage

734

Abstract

We present a computational model for attention. It consists of an early parallel stage with preattentive cues followed by a later serial stage, where the cues are integrated. We base the model on disparity image flow and motion. As one of the several possibilities we choose a depth-based criterion to integrate these cues, in such a way that the attention is maintained to the closest moving object. We demonstrate the technique by experiments in which a moving observer selectively mask our different moving objects in real scenes

Keywords

active vision; computer vision; image sequences; motion estimation; parallel processing; stereo image processing; target tracking; active vision; computational model; computer vision; cue integration; depth-based attention; disparity image flow; image motion; moving object; moving observer; parallel processing; pursuit mode; saccade mode; stereo disparity; target selection; Computational efficiency; Computational modeling; Computer vision; Humans; Laboratories; Layout; Numerical analysis; Phase estimation; Psychology; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.547661

Filename

547661