Article

Inference of Human Postures by Classification of 3D Human Body Shape

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Hongxia LiAuthors Info & Claims

AMFG '03: Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures

Page 74

Published: 17 October 2003 Publication History

Abstract

In this paper we describe an approach for inferring thebody posture using a 3D visual-hull constructed from aset of silhouettes. We introduce an appearance-based,view-independent, 3D shape description for classifyingand identifying human posture using a support vectormachine. The proposed global shape description isinvariant to rotation, scale and translation and variescontinuously with 3D shape variations. This shaperepresentation is used for training a support vectormachine allowing the characterization of human bodypostures from the computed visual hull. The mainadvantage of the shape description is its ability to capturehuman shape variation allowing the identification of bodypostures across multiple people. The proposed method isillustrated on a set of video streams of body posturescaptured by four synchronous cameras.

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Wei BHu WYang MChou C(2019)From Real to ComplexACM Transactions on Sensor Networks10.1145/333802615:3(1-32)Online publication date: 9-Aug-2019
https://dl.acm.org/doi/10.1145/3338026
Singh RKushwaha ASrivastava R(2019)Multi-view recognition system for human activity based on multiple features for video surveillance systemMultimedia Tools and Applications10.1007/s11042-018-7108-978:12(17165-17196)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s11042-018-7108-9
Zhang JShum HHan JShao L(2018)Action Recognition From Arbitrary Views Using Transferable Dictionary LearningIEEE Transactions on Image Processing10.1109/TIP.2018.283632327:10(4709-4723)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1109/TIP.2018.2836323
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Index Terms

Inference of Human Postures by Classification of 3D Human Body Shape
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Shape modeling

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cover image Guide Proceedings

AMFG '03: Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures

October 2003

ISBN:0769520103

Copyright © Copyright (c) 2003 Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

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IEEE Computer Society

United States

Publication History

Published: 17 October 2003

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Cited By

Wei BHu WYang MChou C(2019)From Real to ComplexACM Transactions on Sensor Networks10.1145/333802615:3(1-32)Online publication date: 9-Aug-2019
https://dl.acm.org/doi/10.1145/3338026
Singh RKushwaha ASrivastava R(2019)Multi-view recognition system for human activity based on multiple features for video surveillance systemMultimedia Tools and Applications10.1007/s11042-018-7108-978:12(17165-17196)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s11042-018-7108-9
Zhang JShum HHan JShao L(2018)Action Recognition From Arbitrary Views Using Transferable Dictionary LearningIEEE Transactions on Image Processing10.1109/TIP.2018.283632327:10(4709-4723)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1109/TIP.2018.2836323
Bevilacqua VCarnimeo LGuccione PMastronardi GUva AFiorentino MMonno GMarino FDotoli MCostantino NDassisti MCarbonara N(2015)A Multimodal System for Nonverbal Human Feature Recognition in Emotional FrameworkProceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 201510.1145/2809643.2809645(19-24)Online publication date: 16-Sep-2015
https://dl.acm.org/doi/10.1145/2809643.2809645
Wei BHu WYang MChou CNath SKrishnamachari BRowe A(2015)Radio-based device-free activity recognition with radio frequency interferenceProceedings of the 14th International Conference on Information Processing in Sensor Networks10.1145/2737095.2737117(154-165)Online publication date: 13-Apr-2015
https://dl.acm.org/doi/10.1145/2737095.2737117
Holte MTran CTrivedi MMoeslund TCucchiara RPantic MDaoudi MDel Bimbo APentland AVinciarelli A(2011)Human action recognition using multiple viewsProceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding10.1145/2072572.2072588(47-52)Online publication date: 1-Dec-2011
https://dl.acm.org/doi/10.1145/2072572.2072588
Ji XLiu H(2010)Advances in view-invariant human motion analysisIEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews10.1109/TSMCC.2009.202760840:1(13-24)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.1109/TSMCC.2009.2027608
Holte MMoeslund TFihl P(2010)View-invariant gesture recognition using 3D optical flow and harmonic motion contextComputer Vision and Image Understanding10.1016/j.cviu.2010.07.012114:12(1353-1361)Online publication date: 1-Dec-2010
https://dl.acm.org/doi/10.1016/j.cviu.2010.07.012
Peng BQian GMa Y(2009)Recognizing body poses using multilinear analysis and semi-supervised learningPattern Recognition Letters10.1016/j.patrec.2009.06.00730:14(1289-1294)Online publication date: 1-Oct-2009
https://dl.acm.org/doi/10.1016/j.patrec.2009.06.007
Holte MMoeslund TFihl P(2008)View invariant gesture recognition using the CSEM SwissRanger SR-2 cameraInternational Journal of Intelligent Systems Technologies and Applications10.1504/IJISTA.2008.0212925:3/4(295-303)Online publication date: 1-Nov-2008
https://dl.acm.org/doi/10.1504/IJISTA.2008.021292
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