Abstract / truncated to 115 words (read the full abstract)

In this doctoral dissertation, we principally explore the use of the temporal information available in video sequences for person and gender recognition; in particular, we focus on the analysis of head and facial motion, and their potential application as biometric identifiers. We also investigate how to exploit as much video information as possible for the automatic recognition; more precisely, we examine the possibility of integrating the head and mouth motion information with facial appearance into a multimodal biometric system, and we study the extraction of novel spatio-temporal facial features for recognition. We initially present a person recognition system that exploits the unconstrained head motion information, extracted by tracking a few facial landmarks in the image ...

Information

Author
Matta, Federico
Institution
Eur├ęcom / Multimedia communications
Supervisor
Publication Year
2008
Upload Date
Dec. 11, 2008

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