NDLI: GPU-accelerated affordance cueing based on visual attention

Content Provider	IEEE Xplore Digital Library
Author	May, S. Klodt, M. Rome, E. Breithaupt, R.
Copyright Year	2007
Description	Author affiliation: Fraunhofer Inst. for Intelligent Anal. & Inf. Syst., Sankt Augustin (May, S.; Klodt, M.; Rome, E.; Breithaupt, R.)
Abstract	This work focuses on the relevance of visual attention in affordance-inspired robotics. Among all approaches in robotics related to Gibson's concept of affordances the dealing with attention cues is only rudimentary. We are introducing this concept within the perception layer of our affordance-inspired robotic framework. In this context we present a high-performance visual attention system handling invariants in the optical array. This layer builds the base of higher-sophisticated tasks, like a "curiosity drive" that helps a robotic agent to explore its environment. Our attention system derived from VOCUS utilizes the parallel design of the graphics processing unit (GPU) and reaches real-time performance for the processing of online video streams in VGA resolution on a single computer platform. GPU-VOCUS is currently the fastest known visual attention system running on standard personal computers.
Starting Page	3385
Ending Page	3390
File Size	313738
Page Count	6
File Format	PDF
ISBN	9781424409112
DOI	10.1109/IROS.2007.4399118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent robots Computer graphics Optical arrays Robot vision systems Psychology Animals Pediatrics Robot control Rendering (computer graphics) USA Councils
Content Type	Text
Resource Type	Article

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