Deep neural networks for mobile person recognition with audio-visual signals
Mohammad Rafiqul Alam, Mohammed Bennamoun, Roberto B. Togneri, Ferdous Ahmed Sohel · Institution of Engineering and Technology eBooks · 2017
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.