demonstration

Real time extraction of body soft biometric from 3D videos

Authors:

Carmelo Velardo,

Jean-Luc DugelayAuthors Info & Claims

MM '11: Proceedings of the 19th ACM international conference on Multimedia

Pages 781 - 782

https://doi.org/10.1145/2072298.2072454

Published: 28 November 2011 Publication History

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Abstract

In this technical demonstration, we show the application of our research on body soft biometrics. Exploiting a 3D video sensor we are able to extract semantic information that describes subjects standing in front of a camera. Semantic analysis and tracking is performed, a series of anthropometric measures are extracted and used to compute subjects' height, weight, and gender information. Possible applications of such research fall in the medical domain for monitoring elderly people; in the gaming industry for automatic avatar creation, or in smart billboards which collects demographics of the public interested by the commercial. Our algorithm allows the estimation of all these parameters in real time without requiring the computational complexity of a 3D model fitting approach.

References

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C. Velardo and J.-L. Dugelay. Weight estimation from visual body appearance. In BTAS'10, September, 2010.

Crossref

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A. Dantcheva, C. Velardo, A. D'Angelo, and J.-L. Dugelay. Bag of soft biometrics for person identification. Multimedia Tools and Applications, 2011.

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Cited By

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Saba MSorrentino FMuntoni ACasti SCherchi GCarcangiu ACorda FMurru ASpano LScateni RVitali ISalvetti OMagrini MVilla ACarboni APascali MStanco FGiachetti APingi P(2017)A seamless pipeline for the acquisition of the body shapeProceedings of the Conference on Smart Tools and Applications in Computer Graphics10.2312/stag.20171229(71-80)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.2312/stag.20171229
Turban LGirard DKose NDugelay J(2015)From Kinect video to realistic and animatable MPEG-4 face model: A complete framework2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)10.1109/ICMEW.2015.7169783(1-6)Online publication date: Jun-2015
https://doi.org/10.1109/ICMEW.2015.7169783
Min RKose NDugelay J(2014)KinectFaceDB: A Kinect Database for Face RecognitionIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2014.233121544:11(1534-1548)Online publication date: Nov-2014
https://doi.org/10.1109/TSMC.2014.2331215
Show More Cited By

Index Terms

Real time extraction of body soft biometric from 3D videos
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

MM '11: Proceedings of the 19th ACM international conference on Multimedia

November 2011

944 pages

ISBN:9781450306164

DOI:10.1145/2072298

General Chairs:
K. Selçuk Candan
Arizona State University, USA
,
Sethuraman Panchanathan
Arizona State University, USA
,
Balakrishnan Prabhakaran
University of Texas at Dallas, USA
,
Program Chairs:
Hari Sundaram
Arizona State University, USA
,
Wu-Chi Feng
Portland State University, USA
,
Nicu Sebe
University of Trento, Italy

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2011

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SIGMM

MM '11: ACM Multimedia Conference

November 28 - December 1, 2011

Arizona, Scottsdale, USA

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Saba MSorrentino FMuntoni ACasti SCherchi GCarcangiu ACorda FMurru ASpano LScateni RVitali ISalvetti OMagrini MVilla ACarboni APascali MStanco FGiachetti APingi P(2017)A seamless pipeline for the acquisition of the body shapeProceedings of the Conference on Smart Tools and Applications in Computer Graphics10.2312/stag.20171229(71-80)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.2312/stag.20171229
Turban LGirard DKose NDugelay J(2015)From Kinect video to realistic and animatable MPEG-4 face model: A complete framework2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)10.1109/ICMEW.2015.7169783(1-6)Online publication date: Jun-2015
https://doi.org/10.1109/ICMEW.2015.7169783
Min RKose NDugelay J(2014)KinectFaceDB: A Kinect Database for Face RecognitionIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2014.233121544:11(1534-1548)Online publication date: Nov-2014
https://doi.org/10.1109/TSMC.2014.2331215
Zhang Z(2012)Microsoft Kinect Sensor and Its EffectIEEE MultiMedia10.1109/MMUL.2012.2419:2(4-10)Online publication date: 1-Apr-2012
https://dl.acm.org/doi/10.1109/MMUL.2012.24

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Soft biometrics-combining body weight and fat measurements with fingerprint biometrics

Bag of soft biometrics for person identification

A Hybrid Machine Learning Technique for Multiple Soft Biometric Based Dynamic Keystroke Pattern Recognition System

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