Conference paper
An efficient reliability estimation technique for audio-visual person identification
2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), pp.1631-1635
8th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2013 (Melbourne, VIC, 19/06/2013–21/06/2013)
2013
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.
Details
- Title
- An efficient reliability estimation technique for audio-visual person identification
- Authors/Creators
- M.R. Alam (Author/Creator) - The University of Western AustraliaM. Bennamoun (Author/Creator)R. Togneri (Author/Creator) - The University of Western AustraliaF. Sohel (Author/Creator) - The University of Western Australia
- Publication Details
- 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), pp.1631-1635
- Conference
- 8th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2013 (Melbourne, VIC, 19/06/2013–21/06/2013)
- Identifiers
- 991005545343707891
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
Metrics
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