Surveillance applications of biologically-inspired smart cameras

Kosta Haltis, Lee Andersson, Matthew Sorell, Russell Brinkworth

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Biological vision systems are capable of discerning detail and detecting motion in a wide range of highly variable lighting conditions. We describe the real-time implementation of a biological vision model using a high dynamic range video camera and a General Purpose Graphics Processing Unit (GPGPU) and demonstrate the effectiveness of the implementation 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.

Original languageEnglish
Title of host publicationForensics in Telecommunications, Information and Multimedia
Subtitle of host publicationSecond International Conference, e-Forensics 2009, Revised Selected Papers
Pages65-76
Number of pages12
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2nd International Conference on Forensic Applications and Techniques in Telecommunications, Information and Multimedia, e-Forensics 2009 - Adelaide, SA, Australia
Duration: 19 Jan 200921 Jan 2009

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume8 LNICST
ISSN (Print)1867-8211

Conference

Conference2nd International Conference on Forensic Applications and Techniques in Telecommunications, Information and Multimedia, e-Forensics 2009
CountryAustralia
CityAdelaide, SA
Period19/01/0921/01/09

Keywords

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

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