A Biologically Inspired Smart Camera for Use in Surveillance Applications

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Author(s): Kosta Haltis (University of Adelaide, Australia), Matthew J. Sorell (University of Adelaide, Australia)and Russell Brinkworth (University of Adelaide, Australia)
Copyright: 2012
Pages: 14
Source title: Crime Prevention Technologies and Applications for Advancing Criminal Investigation
Source Author(s)/Editor(s): Chang-Tsun Li (University of Warwick, UK)and Anthony T.S. Ho (University of Surrey, UK)
DOI: 10.4018/978-1-4666-1758-2.ch013

Keywords: Digital Crime & Forensics / Information Science Reference / IT Security and Ethics / Security & Forensics

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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.

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