@inbook{29db8ae205b64578861580f567d59f50,
title = "Deep neural networks for mobile person recognition with audio-visual signals",
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.",
author = "Mohammad Alam and Mohammed Bennamoun and Roberto Togneri and Ferdous Sohel",
year = "2017",
month = jan,
day = "1",
doi = "10.1049/PBSE003E_ch4",
language = "English",
isbn = "9781785610950",
series = "IET Book Series on Advances in Biometrics",
publisher = "The Institution of Engineering and Technology",
pages = "97--129",
editor = "Guodong Guo and Harry Wechsler",
booktitle = "Mobile Biometrics",
address = "United Kingdom",
}