How Visual Attention and Suppression Facilitate Object Recognition?

doi:10.1007/978-3-319-11179-7_58

Paper

How Visual Attention and Suppression Facilitate Object Recognition?

Published Sep 15, 2014 · Frederik Beuth, Amir H. Jamalian, F. Hamker

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Abstract

Visual attention can support object recognition by selecting the relevant target information in the huge amount of sensory data, espe- cially important in scenes composed of multiple objects. Here we demon- strate how attention in a biologically plausible and neuro-computational model of visual perception facilitates object recognition in a robotic real world scenario. We will point out that it is not only important to select the target information, but rather to explicitly suppress the distracting sensory data. We found that suppressing the features of each distractor is not sufficient to achieve robust recognition. Instead, we also have to suppress the location of each distractor. To demonstrate the effect of this spatial suppression, we disable this property and show that the recogni- tion accuracy drops. By this, we show the interplay between attention and suppression in a real world object recognition task.

Study Snapshot

Key takeawayVisual attention and spatial suppression play a crucial role in object recognition, with attention selecting relevant target information and suppressing distracting sensory data for robust recognition.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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How Visual Attention and Suppression Facilitate Object Recognition?

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References

Citations

Extended Design Science Research Methodology for parallel vision system

The Design Science Research Methodology (DSRM) can effectively design efficient parallel vision systems for autonomous robots.

Biologically-Inspired Models for Attentive Robot Vision: A Review

Biologically-inspired models of visual attention can improve robot vision by focusing on specific aspects, potentially speeding up processing and providing additional guidance for future research.