Scene segmentation from motion in multispectral imagery to aid automatic human gait recognition

Pearce, Daniel, Harvey, Christophe, Day, Simon and Goffredo, Michela (2007) Scene segmentation from motion in multispectral imagery to aid automatic human gait recognition. Optics and Photonics for Counter-Terrorism and Crime-Fighting (ESD10), Florence, Italy. 17 - 20 Sep 2007.

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 fulfill 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 characterization 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.

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