Video face recognition: a physiological and behavioural multimodal approach

Matta, Federico;Dugelay, Jean-Luc
ICIP 2007, 14th IEEE International Conference on Image Processing, September 16-19, 2007, San Antonio, USA

In this article we present a multimodal system to person recognition by integrating two complementary approaches that work with video data. The first module exploits the behavioural information: it is based on statistical features computed using the displacement signals of a head; the second one is dealing with the physiological information: it is a probabilistic extension of the classic Eigenface approach. For a consistent fusion, both systems share the same probabilistic classification framework: a Gaussian Mixture Model (GMM) approximation and a Bayesian classifier. We assess the performances of the multimodal system by implementing two fusion strategies and we analyse their evolution in presence of artificial noise.

San Antonio
Sécurité numérique
Eurecom Ref:
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