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

Jayanth Madapura; Baoxin Li

doi:10.1109/icme.2007.4285059

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

Jayanth Madapura, Baoxin Li

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
Publisher	IEEE Computer Society
Pages	1950-1953
Number of pages	4
ISBN (Print)	1424410177, 9781424410170
DOIs	https://doi.org/10.1109/icme.2007.4285059
State	Published - 2007
Event	IEEE International Conference onMultimedia and Expo, ICME 2007 - Beijing, China Duration: Jul 2 2007 → Jul 5 2007

Publication series

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

Other

Other	IEEE International Conference onMultimedia and Expo, ICME 2007
Country/Territory	China
City	Beijing
Period	7/2/07 → 7/5/07

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

Access to Document

10.1109/icme.2007.4285059

Cite this

Madapura, J., & Li, B. (2007). 3D articulated human body tracking using KLD-Annealed Rao-Blackwellised Particle filter. In Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007 (pp. 1950-1953). [4285059] (Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007). IEEE Computer Society. https://doi.org/10.1109/icme.2007.4285059

3D articulated human body tracking using KLD-Annealed Rao-Blackwellised Particle filter. / Madapura, Jayanth; Li, Baoxin.

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007. IEEE Computer Society, 2007. p. 1950-1953 4285059 (Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Madapura, J & Li, B 2007, 3D articulated human body tracking using KLD-Annealed Rao-Blackwellised Particle filter. in Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007., 4285059, Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007, IEEE Computer Society, pp. 1950-1953, IEEE International Conference onMultimedia and Expo, ICME 2007, Beijing, China, 7/2/07. https://doi.org/10.1109/icme.2007.4285059

Madapura J, Li B. 3D articulated human body tracking using KLD-Annealed Rao-Blackwellised Particle filter. In Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007. IEEE Computer Society. 2007. p. 1950-1953. 4285059. (Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007). https://doi.org/10.1109/icme.2007.4285059

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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.",

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

Abstract

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Keywords

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