Research Article
Surveillance Applications of Biologically-Inspired Smart Cameras
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@INPROCEEDINGS{10.1007/978-3-642-02312-5_8, author={Kosta Haltis and Lee Andersson and Matthew Sorell and Russell Brinkworth}, title={Surveillance Applications of Biologically-Inspired Smart Cameras}, proceedings={Forensics in Telecommunications, Information and Multimedia. Second International Conference, e-Forensics 2009, Adelaide, Australia, January 19-21, 2009, Revised Selected Papers}, proceedings_a={E-FORENSICS}, year={2012}, month={5}, keywords={Surveillance digital video processing biological vision motion detection image enhancement}, doi={10.1007/978-3-642-02312-5_8} }- Kosta Haltis
Lee Andersson
Matthew Sorell
Russell Brinkworth
Year: 2012
Surveillance Applications of Biologically-Inspired Smart Cameras
E-FORENSICS
Springer
DOI: 10.1007/978-3-642-02312-5_8
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.
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