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Proceedings Paper

Robust human intrusion detection technique using hue-saturation histograms
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Paper Abstract

A robust human intrusion detection technique using hue-saturation histograms is presented in this paper. Initially a region of interest (ROI) is manually identified in the scene viewed by a single fixed CCTV camera. All objects in the ROI are automatically demarcated from the background using brightness and chromaticity distortion parameters. The segmented objects are then tracked using correlation between hue-saturation based bivariate distributions. The technique has been applied on all the 'Sterile Zone' sequences of the United Kingdom Home Office iLIDS dataset and its performance is evaluated with over 70% positive results.

Paper Details

Date Published: 26 April 2011
PDF: 12 pages
Proc. SPIE 8055, Optical Pattern Recognition XXII, 80550J (26 April 2011); doi: 10.1117/12.883973
Show Author Affiliations
Waqas Hassan, Univ. of Sussex (United Kingdom)
Bhargav Mitra, Univ. of Sussex (United Kingdom)
Nagachetan Bangalore, Univ. of Sussex (United Kingdom)
Philip Birch, Univ. of Sussex (United Kingdom)
Rupert Young, Univ. of Sussex (United Kingdom)
Chris Chatwin, Univ. of Sussex (United Kingdom)

Published in SPIE Proceedings Vol. 8055:
Optical Pattern Recognition XXII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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