Multimodal person verification from video sequences

Warning The system is temporarily closed to updates for reporting purpose.

Ekenel, Hazım Kemal and Bilgin, Seyfettin Yasin and Eden, İbrahim and Kirişci, Meltem and Erdoğan, Hakan and Erçil, Aytül (2005) Multimodal person verification from video sequences. In: Special Workshop in Maui (SWIM): Lectures by Masters in Speech Processing, Nagoya/Japan

Full text not available from this repository.


In this paper, a multimodal person verification system based on fusing information derived from face speech signals is proposed. Principle component analysis and independent component analysis techniques are used for face verification and melfrequency-cepstral coefficients are used for speaker verification. The matching scores from individual modalities are combined using the sum rule. The results indicate that fusing indivual modalities improve overall performance of the verification system.

Item Type:Papers in Conference Proceedings
Subjects:Q Science > Q Science (General)
ID Code:1449
Deposited By:Aytül Erçil
Deposited On:17 Feb 2007 02:00
Last Modified:07 Sep 2009 10:08

Repository Staff Only: item control page