A biologically inspired smart camera for use in surveillance applications

Kosta Haltis, Matthew Sorell, Russell S.A. Brinkworth

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalInternational Journal of Digital Crime and Forensics
Volume2
Issue number3
DOIs
Publication statusPublished - 2010
Externally publishedYes

Keywords

  • Biological vision
  • Digital video processing
  • Image enhancement
  • Motion detection
  • Surveillance

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