Active vision: on the relevance of a bio-inspired approach for object detection.

Abstract:

:Starting from biological systems, we review the interest of active perception for object recognition in an autonomous system. Foveated vision and control of the eye saccade introduce strong benefits related to the differentiation of a 'what' pathway recognizing some local parts in the image and a 'where' pathway related to moving the fovea in that part of the image. Experiments on a dataset illustrate the capability of our model to deal with complex visual scenes. The results enlighten the interest of top-down contextual information to serialize the exploration and to perform some kind of hypothesis test. Moreover learning to control the occular saccade from the previous one can help reducing the exploration area and improve the recognition performances. Yet our results show that the selection of the next saccade should take into account broader statistical information. This opens new avenues for the control of the ocular saccades and the active exploration of complex visual scenes.

journal_name

Bioinspir Biomim

authors

Hoang K,Pitti A,Goudou JF,Dufour JY,Gaussier P

doi

10.1088/1748-3190/ab504c

subject

Has Abstract

pub_date

2020-02-14 00:00:00

pages

025003

issue

2

eissn

1748-3182

issn

1748-3190

journal_volume

15

pub_type

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