ICASSP 2008, IEEE International Conférence on Acoustics, Speech, and Signal Processing, March 30-April 4, 2008, Las Vegas, USA
In this article we propose a novel spatio-temporal approach for person recognition using video information. By applying discrete video tomography, our algorithm summarises the head and facial dynamics of a sequence into a single image (called "video X-ray image"), which is subsequently analysed by an extended version of the eigenface approach. In the experimental part, we assess the discriminative power of our system and we compare it with an analogous one working on traditional facial appearance. Finally, we integrate the X-ray information with appearance in a multimodal system, which improves the recognition rates of standalone frameworks.
Type:
Conference
City:
Las Vegas
Date:
2008-03-30
Department:
Digital Security
Eurecom Ref:
2466
Copyright:
© 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
See also:
