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https://hdl.handle.net/2440/63723
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Type: | Journal article |
Title: | A biologically inspired smart camera for use in surveillance applications |
Author: | Haltis, K. Sorell, M. Brinkworth, R. |
Citation: | International Journal of Digital Crime and Forensics, 2010; 2(3):1-14 |
Publisher: | IGI Publishing |
Issue Date: | 2010 |
ISSN: | 1941-6210 1941-6229 |
Statement of Responsibility: | Kosta Haltis, Matthew Sorell, Russell Brinkworth |
Abstract: | Biological vision systems are capable of discerning detail as well as detecting objects and motion in a wide range of highly variable lighting conditions that proves challenging to traditional cameras. In this paper, the authors describe the real-time implementation of a biological vision model using a high dynamic range video camera and a General Purpose Graphics Processing Unit. The effectiveness of this implementation is demonstrated in two surveillance applications: dynamic equalization of contrast for improved recognition of scene detail and the use of biologically-inspired motion processing for the detection of small or distant moving objects in a complex scene. A system based on this prototype could improve surveillance capability in any number of difficult situations. |
Keywords: | Biological Vision Digital Video Processing Image Enhancement Motion Detection Surveillance |
Rights: | Copyright © 2010, IGI Global. |
DOI: | 10.4018/jdcf.2010070101 |
Grant ID: | http://purl.org/au-research/grants/arc/LP0667744 http://purl.org/au-research/grants/arc/DP0986683 http://purl.org/au-research/grants/arc/DP0986683 http://purl.org/au-research/grants/arc/LP0667744 |
Published version: | http://dx.doi.org/10.4018/jdcf.2010070101 |
Appears in Collections: | Aurora harvest 5 Electrical and Electronic Engineering publications |
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