NDLI: A salient information processing system for bionic eye with application to obstacle avoidance

Content Provider	IEEE Xplore Digital Library
Author	Stacey, A. Yi Li Barnes, N.
Copyright Year	2011
Description	Author affiliation: College of Engineering and Computer Science, Australian National University, Canberra, ACT Australia 2601 (Stacey, A.) \|\| National Information and Communication Technology Australia (NICTA) and College of Engineering and Computer Science at the Australian National University, Canberra, ACT Australia 2601 (Yi Li; Barnes, N.)
Abstract	In this paper we present a visual processing system for bionic eye with a focus on obstacle avoidance. Bionic eye aims at restoring the sense of vision to people living with blindness and low vision. However, current hardware implant technology limits the image resolution of the electrical stimulation device to be very low (e.g., 100 electrode arrays, which is approx. 12 × 9 pixels). Therefore, we need a visual processing unit that extracts salient information in an unknown environment for assisting patients in daily tasks such as obstacle avoidance. We implemented a fully portable system that includes a camera for capturing videos, a laptop for processing information using a state-of-the-art saliency detection algorithm, and a head-mounted display to visualize results. The experimental environment consists of a number of objects, such as shoes, boxes, and foot stands, on a textured ground plane. Our results show that the system efficiently processes the images, effectively identifies the obstacles, and eventually provides useful information for obstacle avoidance.
Starting Page	5116
Ending Page	5119
File Size	1549078
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091267
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Videos Implants Humans Image resolution Cameras Australia
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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