A biologically inspired smart camera for use in surveillance applications
Date
2010
Authors
Haltis, K.
Sorell, M.
Brinkworth, R.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
International Journal of Digital Crime and Forensics, 2010; 2(3):1-14
Statement of Responsibility
Kosta Haltis, Matthew Sorell, Russell Brinkworth
Conference Name
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.
School/Discipline
Dissertation Note
Provenance
Description
Link to a related website: http://pdfs.semanticscholar.org/04ff/efb8b5b373cf033cdc2201b01fb448f0b7df.pdf, Open Access via Unpaywall
Access Status
Rights
Copyright © 2010, IGI Global.