3D articulated human body tracking using KLD-Annealed Rao-Blackwellised Particle filter

Jayanth Madapura, Baoxin Li

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

5 Scopus citations

Abstract

The difficulties introduced by large degrees of freedom are still a challenge in articulated human body tracking. In this paper, an efficient tracker is proposed based on the integration of a set of statistical techniques including KLD sampling, Rao-Blackwellisation, and Particle filtering. This results in a KLD-Annealed Particle filter with .Rao-Blackwellisation, which can address the key issues in 3D human tracking, such as accuracy, stability, and speed simultaneously. Both synthetic and real data were used in our experiments to demonstrate the improved performance of the proposed tracker.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
PublisherIEEE Computer Society
Pages1950-1953
Number of pages4
ISBN (Print)1424410177, 9781424410170
DOIs
StatePublished - 2007
EventIEEE International Conference onMultimedia and Expo, ICME 2007 - Beijing, China
Duration: Jul 2 2007Jul 5 2007

Publication series

NameProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Other

OtherIEEE International Conference onMultimedia and Expo, ICME 2007
Country/TerritoryChina
CityBeijing
Period7/2/077/5/07

Keywords

  • Articulated human body tracking
  • Kullback-Leibler divergence
  • Particle filter
  • Rao-Blackwellisation
  • Simulated annealing

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

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