| Paper: | TP-P7.8 |
| Session: | Biometrics IV: Face Recognition |
| Time: | Tuesday, September 18, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
VIDEO FACE RECOGNITION: A PHYSIOLOGICAL AND BEHAVIOURAL MULTIMODAL APPROACH |
| Authors: |
Federico Matta; Eurecom Institute | | |
| | Jean-Luc Dugelay; Eurecom Institute | | |
| Abstract: |
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. |
