3-D body posture tracking for human action template matching

Massimiliano Pierobon, Marco Marcon, Augusto Sarti, Stefano Tubaro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

In this paper we present a novel approach to 3-D human action classification based on the analysis of volumetric data obtained form the joint processing of video sequences acquired by a multiple-camera system. The use of volumetric data makes the system very robust and avoids problems related the typical human body self-occlusions and motion ambiguities, very common in an independent camera-by-camera analysis. A Shape Descriptor of human body is obtained in order to capture only posturedependent characteristics and its outputs at each time instant are collected together in action feature matrices. The use of Dynamic Time Warping approach for action template matching accounts for possible temporal nonlinear distortions among different instances of the same gesture and allows gesture classification.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
PagesII501-II504
StatePublished - 2006
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: May 14 2006May 19 2006

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
ISSN (Print)1520-6149

Other

Other2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
CountryFrance
CityToulouse
Period5/14/065/19/06

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Pierobon, M., Marcon, M., Sarti, A., & Tubaro, S. (2006). 3-D body posture tracking for human action template matching. In 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings (pp. II501-II504). [1660389] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2).