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

Daniel Pearce; Christophe Harvey; Simon Day; Michela Goffredo

doi:10.1117/12.736196

8 October 2007 Scene segmentation from motion in multispectral imagery to aid automatic human gait recognition

Daniel Pearce, Christophe Harvey, Simon Day, Michela Goffredo

Proceedings Volume 6741, Optics and Photonics for Counterterrorism and Crime Fighting III; 67410E (2007) https://doi.org/10.1117/12.736196
Event: Optics/Photonics in Security and Defence, 2007, Florence, Italy

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.

Citation Download Citation

Daniel Pearce, Christophe Harvey, Simon Day, and Michela Goffredo "Scene segmentation from motion in multispectral imagery to aid automatic human gait recognition", Proc. SPIE 6741, Optics and Photonics for Counterterrorism and Crime Fighting III, 67410E (8 October 2007); https://doi.org/10.1117/12.736196

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available