UAM | UAM_Biblioteca | Unified search engine | Scientific Production Portal | UAM Research Data Repository
Biblos-e Archivo
    • español
    • English
  • English 
    • español
    • English
  • Log in
JavaScript is disabled for your browser. Some features of this site may not work without it.

Search Biblos-e Archivo

Advanced Search

Browse

All of Biblos-e ArchivoCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsFacultiesThis CollectionBy Issue DateAuthorsTitlesSubjectsFaculties

My Account

Log inRegister

Statistics

View Usage Statistics

Help

Information about Biblos-e ArchivoI want to submit my workFrequently Asked Questions

UAM_Biblioteca

View Item 
  •   Biblos-e Archivo
  • 1 - Producción científica en acceso abierto de la UAM
  • Producción científica en acceso abierto de la UAM
  • View Item
  •   Biblos-e Archivo
  • 1 - Producción científica en acceso abierto de la UAM
  • Producción científica en acceso abierto de la UAM
  • View Item

Body shape-based biometric person recognition from mmW images

Author
Vera Rodríguez, Rubénuntranslated; González-Sosa, Ester; Hernández-Ortega, Javier; Fiérrez Aguilar, Juliánuntranslated
Publisher
Springer Verlag
Date
2017
Citation
10.1007/978-3-319-58838-4_50
8th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2017. Lecture Notes in Computer Science, Volumen 10255. Springer, 2017. 453-461
 
 
 
ISSN
0302-9743
ISBN
978-3-319-58838-4 (online); 978-3-319-58837-7 (print)
DOI
10.1007/978-3-319-58838-4_50
Funded by
This work has been partially supported by project CogniMetrics TEC2015-70627-R (MINECO/FEDER), and the SPATEK network (TEC2015-68766-REDC)
Project
Gobierno de España. TEC2015-70627-R; Gobierno de España.TEC2015-68766-REDC
Subjects
biometrics; body shape information; border control security; dynamic time warping; mmW imaging; Telecomunicaciones
URI
http://hdl.handle.net/10486/680619
Rights
© Springer International Publishing AG 2017

Abstract

A growing interest has arisen in the security community for the use of millimeter waves in order to detect weapons and concealed objects. Also, the use of millimetre wave images has been proposed recently for biometric person recognition to overcome certain limitations of images acquired at visible frequencies. This paper proposes a biometric person recognition system based on shape information extracted from millimetre wave images. To this aim, we report experimental results using millimeter wave images with different body shape-based feature approaches: contour coordinates, shape contexts, Fourier descriptors and row and column profiles, using Dynamic Time Warping for matching. Results suggest the potential of performing person recognition through millimetre waves using only shape information, a functionality that could be easily integrated in the security scanners deployed in airports
Show full item record

Files in this item

Thumbnail
Name
body_vera_lncs_2017_ps.pdf
Size
564.0Kb
Format
PDF

Refworks Export

Google™ Scholar:Vera Rodríguez, Rubén - González-Sosa, Ester - Hernández-Ortega, Javier - Fiérrez Aguilar, Julián

This item appears in the following Collection(s)

  • Producción científica en acceso abierto de la UAM [16606]

Related items

Showing items related by title, author, creator and subject.

  • Body shape-based biometric recognition using millimeter wave images 

    González-Sosa, Ester; Vera Rodríguez, RubénAutoridad UAM; Fiérrez Aguilar, JuliánAutoridad UAM; Ortega García, JavierAutoridad UAM
    2013-10
  • Comparison of body shape descriptors for biometric recognition using MMW images 

    González-Sosa, Ester; Vera Rodríguez, RubénAutoridad UAM; Fiérrez Aguilar, JuliánAutoridad UAM; Ortega García, JavierAutoridad UAM
    2014
  • Feature exploration for biometric recognition using millimetre wave body images 

    González-Sosa, Ester; Vera Rodríguez, RubénAutoridad UAM; Fiérrez Aguilar, JuliánAutoridad UAM; Moreno-Moreno, Miriam; Ortega García, JavierAutoridad UAM
    2015-12-04
All the documents from Biblos-e Archivo are protected by copyrights. Some rights reserved.
Universidad Autónoma de Madrid. Biblioteca
Contact Us | Send Feedback
We are onFacebookCanal BiblosYouTubeTwitterPinterestWhatsappInstagram
 

 

All the documents from Biblos-e Archivo are protected by copyrights. Some rights reserved.
Universidad Autónoma de Madrid. Biblioteca
Contact Us | Send Feedback
We are onFacebookCanal BiblosYouTubeTwitterPinterestWhatsappInstagram