Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-60765
Sonnleithner, D; Indiveri, G (2011). A neuromorphic saliency-map based active vision system. In: 45th Annual Conference on Information Sciences and Systems (CISS 2011), Baltimore, MD, USA, 23 March 2011 - 25 March 2011, 1-6.
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Selective attention is a very efficient strategy for engineering active vision systems that need to extract relevant information from the scene in real-time. We propose an implementation of a saliency-map based active vision system in which Address-Event sensors and neuromorphic winner-take-all devices complement conventional imagers and machine vision components. A standard imager is mounted next to a Dynamic Vision Sensor (DVS) on a Pan-Tilt Unit. The output of the DVS is fed to an event-based Selective Attention Chip that implements a Winner-Take-All network with inhibition of return, to identify and sequentially select the most salient regions in the visual input space, and drive the Pan-Tilt Unit accordingly. We characterize the system with experiments using real-world scenarios and natural scenes, and interface it to a workstation to implement models of top-down attention used to influence the decision making process.
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|Item Type:||Conference or Workshop Item (Paper), refereed, original work|
|Communities & Collections:||07 Faculty of Science > Institute of Neuroinformatics|
|Dewey Decimal Classification:||570 Life sciences; biology|
|Event End Date:||25 March 2011|
|Deposited On:||09 Mar 2012 14:27|
|Last Modified:||05 Apr 2016 15:43|
|Number of Pages:||0|
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