Multimodal Person Identification

Aristodemos Pnevmatikakis; Hazım K. Ekenel; Claude Barras; Javier Hernando

doi:10.1007/978-1-84882-054-8_4

Multimodal Person Identification

Aristodemos Pnevmatikakis
, Hazım K. Ekenel
, Claude Barras
, Javier Hernando

Athens Information Technology
Karlsruhe Institute of Technology
Institut national de recherche en informatique et en automatique
Polytechnic University of Catalonia

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Person identification is of paramount importance in security, surveillance, human-computer interfaces, and smart spaces. All these applications attempt the recognition of people based on audiovisual data. The way the systems collect these data divides them into two categories: Near-field systems: Both the sensor and the person to be identified focus on each other. Far-field systems: The sensors monitor an entire space in which the person appears, occasionally collecting useful data (face and/or speech) about that person. Also, the person pays no attention to the sensors and is possibly unaware of their existence.

Original language	English
Title of host publication	Human - Computer Interaction Series
Publisher	Springer International Publishing
Pages	23-31
Number of pages	9
DOIs	https://doi.org/10.1007/978-1-84882-054-8_4
Publication status	Published - 2009
Externally published	Yes

Publication series

Name	Human - Computer Interaction Series
Volume	Part F9900
ISSN (Print)	1571-5035
ISSN (Electronic)	2524-4477

Bibliographical note

Publisher Copyright:
© Springer-Verlag London Limited 2009.

Keywords

Discrete Cosine Transform
Face Recognition
Linear Discriminant Analysis
Smart Space
Universal Background Model

Access to Document

10.1007/978-1-84882-054-8_4

Cite this

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title = "Multimodal Person Identification",

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keywords = "Discrete Cosine Transform, Face Recognition, Linear Discriminant Analysis, Smart Space, Universal Background Model",

author = "Aristodemos Pnevmatikakis and Ekenel, \{Hazım K.\} and Claude Barras and Javier Hernando",

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year = "2009",

doi = "10.1007/978-1-84882-054-8\_4",

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T1 - Multimodal Person Identification

AU - Pnevmatikakis, Aristodemos

AU - Ekenel, Hazım K.

AU - Barras, Claude

AU - Hernando, Javier

N1 - Publisher Copyright: © Springer-Verlag London Limited 2009.

PY - 2009

Y1 - 2009

N2 - Person identification is of paramount importance in security, surveillance, human-computer interfaces, and smart spaces. All these applications attempt the recognition of people based on audiovisual data. The way the systems collect these data divides them into two categories: Near-field systems: Both the sensor and the person to be identified focus on each other. Far-field systems: The sensors monitor an entire space in which the person appears, occasionally collecting useful data (face and/or speech) about that person. Also, the person pays no attention to the sensors and is possibly unaware of their existence.

AB - Person identification is of paramount importance in security, surveillance, human-computer interfaces, and smart spaces. All these applications attempt the recognition of people based on audiovisual data. The way the systems collect these data divides them into two categories: Near-field systems: Both the sensor and the person to be identified focus on each other. Far-field systems: The sensors monitor an entire space in which the person appears, occasionally collecting useful data (face and/or speech) about that person. Also, the person pays no attention to the sensors and is possibly unaware of their existence.

KW - Discrete Cosine Transform

KW - Face Recognition

KW - Linear Discriminant Analysis

KW - Smart Space

KW - Universal Background Model

UR - https://www.scopus.com/pages/publications/105038741674

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M3 - Chapter

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SP - 23

EP - 31

BT - Human - Computer Interaction Series

PB - Springer International Publishing

ER -

Multimodal Person Identification

Abstract

Publication series

Bibliographical note

Keywords

Access to Document

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Cite this