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Person authentication using 3D human motion

Published: 01 December 2011 Publication History

Abstract

This paper presents a novel approach to identify and/or verify persons by using three-dimensional dynamic and structural features extracted from human motion depicted on image streams. These features are extracted from body landmarks which are detected and tracked when the person is asked to perform specific movements, representing the dynamics of specific parts of the body, as well as the structural traits formed by the pose of the person. Gaussian mixture model (GMM) based systems are tested on a dataset containing arm movements. Experimental results confirmed that the proposed approach is promising for person authentication tasks.

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Cited By

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  • (2013)A statistical approach for person verification using human behavioral patternsEURASIP Journal on Image and Video Processing10.1186/1687-5281-2013-442013:1Online publication date: 8-Aug-2013
  • (2013)An Authentication Method with Spatiotemporal Interval and Partial MatchingProceedings of the 2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing10.1109/SNPD.2013.29(535-542)Online publication date: 1-Jul-2013
  • (2013)Statistical Person Verification Using Behavioral Patterns from Complex Human MotionProceedings of the ICIAP 2013 International Workshops on New Trends in Image Analysis and Processing — ICIAP 2013 - Volume 815810.1007/978-3-642-41190-8_60(550-558)Online publication date: 9-Sep-2013
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cover image ACM Conferences
J-HGBU '11: Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
December 2011
46 pages
ISBN:9781450309981
DOI:10.1145/2072572
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2011

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Author Tags

  1. GMM
  2. behavioral biometrics
  3. person authentication
  4. time-of-flight camera.

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  • Research-article

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MM '11
Sponsor:
MM '11: ACM Multimedia Conference
December 1, 2011
Arizona, Scottsdale, USA

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Cited By

View all
  • (2013)A statistical approach for person verification using human behavioral patternsEURASIP Journal on Image and Video Processing10.1186/1687-5281-2013-442013:1Online publication date: 8-Aug-2013
  • (2013)An Authentication Method with Spatiotemporal Interval and Partial MatchingProceedings of the 2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing10.1109/SNPD.2013.29(535-542)Online publication date: 1-Jul-2013
  • (2013)Statistical Person Verification Using Behavioral Patterns from Complex Human MotionProceedings of the ICIAP 2013 International Workshops on New Trends in Image Analysis and Processing — ICIAP 2013 - Volume 815810.1007/978-3-642-41190-8_60(550-558)Online publication date: 9-Sep-2013
  • (2011)Joint ACM workshop on human gesture and behavior understandingProceedings of the 19th ACM international conference on Multimedia10.1145/2072298.2072392(615-616)Online publication date: 28-Nov-2011

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