Integration of Bottom-Up and Top-Down Cues for Visual Attention Using Non-Linear Relaxation

TitleIntegration of Bottom-Up and Top-Down Cues for Visual Attention Using Non-Linear Relaxation
Publication TypeTechnical Report
Year of Publication1994
AuthorsMilanese, R., Wechsler H., Gil S., Bost J-M., & Pun T.
Other Numbers884
Abstract

Active and selective perception seeks regions of interest in an image in order to reduce the computational complexity associated with time-consuming processes such as object recognition. We describe in this paper a visual attention system that extracts regions of interest by integrating multiple image cues. Bottom-up cues are detected by decomposing the image into a number of feature and conspicuity maps, while a-priori knowledge (i.e. models) about objects is used to generate top-down attention cues. Bottom-up and top-down information is combined through a non-linear relaxation process using energy minimization-like procedures. The functionality of the attention system is expanded by the introduction of an alerting (motion-based) system able to explore and avoid obstacles. Experimental results are reported, using cluttered and noisy scenes.

URLhttp://www.icsi.berkeley.edu/ftp/global/pub/techreports/1994/tr-94-014.pdf
Bibliographic Notes

ICSI Technical Report TR-94-014

Abbreviated Authors

R. Milanese, H. Wechsler, S. Gil, J.-M. Bost, and T. Pun

ICSI Publication Type

Technical Report