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.
Tomofaces: eigenfaces extended to videos of speakers
ICASSP 2008, IEEE International Conférence on Acoustics, Speech, and Signal Processing, March 30-April 4, 2008, Las Vegas, USA
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