NDLI: A visual attention network for a humanoid robot

Content Provider	IEEE Xplore Digital Library
Author	Driscoll, J.A. Cave, K.R.
Copyright Year	1998
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Vanderbilt Univ., Nashville, TN, USA (Driscoll, J.A.)
Abstract	For a humanoid robot to interact easily with a person, the robot should have human-like sensory capabilities and attentional mechanisms. Particularly useful is an active vision head controlled by a visual attention system that selects viewpoints in the environment as a function of the robot's task. This paper describes a model of human visual attention called FeatureGate, which is a locally connected, pyramidal, artificial neural network that operates on 2D feature maps of the environment. Given a set of feature maps, and the description of a specific target, FeatureGate finds the location whose features most closely match those of the target. The paper describes the network, its implementation, a series of tests that characterize its performance with respect to a person's performance on a similar task, and its use in the control of an active vision system.
Starting Page	1968
Ending Page	1974
File Size	812180
Page Count	7
File Format	PDF
ISBN	0780344650
DOI	10.1109/IROS.1998.724894
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-10-17
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humanoid robots Robot sensing systems Robot vision systems Control systems Layout Cameras Psychology Human robot interaction Concurrent computing Distributed computing
Content Type	Text
Resource Type	Article

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