Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

An efficient reliability estimation technique for audio-visual person identification

Alam, M.R., Bennamoun, M., Togneri, R. and Sohel, F. (2013) An efficient reliability estimation technique for audio-visual person identification. In: 8th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2013, 19 - 21 June 2013, Melbourne, VIC pp. 1631-1635.

Link to Published Version:
*Subscription may be required


This paper presents a reliability estimation technique for an Audio-Visual (AV) person identification system. The estimated reliability measures are mapped to modality weights by using a mapping function. The weighted sum rule of fusion was used to fuse the audio and visual modalities before reaching a decision about the identity of a person. The proposed technique was tested on 88 subjects from the AusTalk AV database. Experimental results show that the proposed technique improves the identification accuracy of the min-max normalization, compared to when it is used without any reliability estimation. The identification accuracy of the proposed technique is also higher than the non-learned approach of modality weight adaptation.

Item Type: Conference Paper
Item Control Page Item Control Page