Robust human intrusion detection technique using hue-saturation histograms

Waqas Hassan; Bhargav Mitra; Nagachetan Bangalore; Philip Birch; Rupert Young; Chris Chatwin

doi:10.1117/12.883973

26 April 2011 Robust human intrusion detection technique using hue-saturation histograms

Waqas Hassan, Bhargav Mitra, Nagachetan Bangalore, Philip Birch, Rupert Young, Chris Chatwin

Proceedings Volume 8055, Optical Pattern Recognition XXII; 80550J (2011) https://doi.org/10.1117/12.883973
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Waqas Hassan, Bhargav Mitra, Nagachetan Bangalore, Philip Birch, Rupert Young, and Chris Chatwin "Robust human intrusion detection technique using hue-saturation histograms", Proc. SPIE 8055, Optical Pattern Recognition XXII, 80550J (26 April 2011); https://doi.org/10.1117/12.883973

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KEYWORDS

Video

Distortion

RGB color model

Image segmentation

Light sources and illumination

Cameras

Computer intrusion detection

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