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.

Abstract

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.

Publication Type:	Conference Paper
URI:	http://researchrepository.murdoch.edu.au/id/eprint/28479

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