Book chapter
Deep neural networks for mobile person recognition with audio-visual signals
Mobile Biometrics, pp.97-129
IET Digital Library
2017
Abstract
This chapter starts with a general and brief introduction of biometrics and audiovisual person recognition using mobile phone data. It begins with a discussion of what constitutes a biometric recognition system, and it then details the steps followed when audio-visual signals are used as inputs. This is followed by a review of the existing speaker and face recognition systems which have been evaluated on a mobile biometric database. We then discuss the key motivations of using deep neural network (DNN) for person recognition. We finally introduce a Deep Boltzmann Machine (DBM)- DNN, in short DBM-DNN, based framework for person recognition. An overview of the sections and sub-sections of this chapter is shown in Figure 4.1.
Details
- Title
- Deep neural networks for mobile person recognition with audio-visual signals
- Authors/Creators
- M.R. Alam (Author/Creator)M. Bennamoun (Author/Creator)R. Togneri (Author/Creator)F. Sohel (Author/Creator)
- Contributors
- G. Guo (Editor)H. Wechsler (Editor)
- Publication Details
- Mobile Biometrics, pp.97-129
- Publisher
- IET Digital Library
- Identifiers
- 991005541845507891
- Murdoch Affiliation
- College of Arts, Business, Law and Social Sciences
- Language
- English
- Resource Type
- Book chapter
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