Dynamic body posture tracking using evolutionary optimisation

C. Robertson; E. Trucco; S. Ivekovic

doi:10.1049/el:20053672

Dynamic body posture tracking using evolutionary optimisation

C. Robertson, E. Trucco, S. Ivekovic

School of Engineering & Physical Sciences

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

A novel evolutionary approach for fitting and tracking articulated skeletons to 3D data of upper-body sequences typical of videoconferencing or newscasting is presented. A 24-dimensional skeleton fitting problem is solved with a novel particle swarm optimisation technique designed for simultaneous fitting and tracking. Experiments show good quality fits even in the presence of self-occlusions and partial 3D data.

Original language	English
Pages (from-to)	15-16
Number of pages	2
Journal	Electronics Letters
Volume	41
Issue number	25
DOIs	https://doi.org/10.1049/el:20053672
Publication status	Published - 8 Dec 2005

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title = "Dynamic body posture tracking using evolutionary optimisation",

abstract = "A novel evolutionary approach for fitting and tracking articulated skeletons to 3D data of upper-body sequences typical of videoconferencing or newscasting is presented. A 24-dimensional skeleton fitting problem is solved with a novel particle swarm optimisation technique designed for simultaneous fitting and tracking. Experiments show good quality fits even in the presence of self-occlusions and partial 3D data.",

author = "C. Robertson and E. Trucco and S. Ivekovic",

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AB - A novel evolutionary approach for fitting and tracking articulated skeletons to 3D data of upper-body sequences typical of videoconferencing or newscasting is presented. A 24-dimensional skeleton fitting problem is solved with a novel particle swarm optimisation technique designed for simultaneous fitting and tracking. Experiments show good quality fits even in the presence of self-occlusions and partial 3D data.

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Dynamic body posture tracking using evolutionary optimisation

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