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Proceedings Paper

Multi-stream face recognition on dedicated mobile devices for crime-fighting
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Paper Abstract

Automatic face recognition is a useful tool in the fight against crime and terrorism. Technological advance in mobile communication systems and multi-application mobile devices enable the creation of hybrid platforms for active and passive surveillance. A dedicated mobile device that incorporates audio-visual sensors would not only complement existing networks of fixed surveillance devices (e.g. CCTV) but could also provide wide geographical coverage in almost any situation and anywhere. Such a device can hold a small portion of a law-enforcing agency biometric database that consist of audio and/or visual data of a number of suspects/wanted or missing persons who are expected to be in a local geographical area. This will assist law-enforcing officers on the ground in identifying persons whose biometric templates are downloaded onto their devices. Biometric data on the device can be regularly updated which will reduce the number of faces an officer has to remember. Such a dedicated device would act as an active/passive mobile surveillance unit that incorporate automatic identification. This paper is concerned with the feasibility of using wavelet-based face recognition schemes on such devices. The proposed schemes extend our recently developed face verification scheme for implementation on a currently available PDA. In particular we will investigate the use of a combination of wavelet frequency channels for multi-stream face recognition. We shall present experimental results on the performance of our proposed schemes for a number of publicly available face databases including a new AV database of videos recorded on a PDA.

Paper Details

Date Published: 28 September 2006
PDF: 10 pages
Proc. SPIE 6402, Optics and Photonics for Counterterrorism and Crime Fighting II, 64020P (28 September 2006); doi: 10.1117/12.689916
Show Author Affiliations
Sabah A. Jassim, Univ. of Buckingham (United Kingdom)
Harin Sellahewa, Univ. of Buckingham (United Kingdom)
Gray Cancer Institute (United Kingdom)


Published in SPIE Proceedings Vol. 6402:
Optics and Photonics for Counterterrorism and Crime Fighting II
Colin Lewis; Gari P. Owen, Editor(s)

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