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Proceedings Paper

Scene segmentation from motion in multispectral imagery to aid automatic human gait recognition
Author(s): Daniel Pearce; Christophe Harvey; Simon Day; Michela Goffredo
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Paper Abstract

Primarily focused at military and security environments where there is a need to identify humans covertly and remotely; this paper outlines how recovering human gait biometrics from a multi-spectral imaging system can overcome the failings of traditional biometrics to fulfil those needs. With the intention of aiding single camera human gait recognition, an algorithm was developed to accurately segment a walking human from multi-spectral imagery. 16-band imagery from the image replicating imaging spectrometer (IRIS) camera system is used to overcome some of the common problems associated with standard change detection techniques. Fusing the concepts of scene segmentation by spectral characterisation and background subtraction by image differencing gives a uniquely robust approach. This paper presents the results of real trials with human subjects and a prototype IRIS camera system, and compares performance to typical broadband camera systems.

Paper Details

Date Published: 8 October 2007
PDF: 9 pages
Proc. SPIE 6741, Optics and Photonics for Counterterrorism and Crime Fighting III, 67410E (8 October 2007); doi: 10.1117/12.736196
Show Author Affiliations
Daniel Pearce, QinetiQ Ltd. (United Kingdom)
Christophe Harvey, QinetiQ Ltd. (United Kingdom)
Simon Day, QinetiQ Ltd. (United Kingdom)
Michela Goffredo, Univ. of Southampton (United Kingdom)

Published in SPIE Proceedings Vol. 6741:
Optics and Photonics for Counterterrorism and Crime Fighting III
Colin Lewis, Editor(s)

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