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2010
Springer

Markerless Articulated Human Body Tracking from Multi-view Video with GPU-PSO

9 years 6 months ago
Markerless Articulated Human Body Tracking from Multi-view Video with GPU-PSO
In this paper, we describe the GPU implementation of a markerless full-body articulated human motion tracking system from multi-view video sequences acquired in a studio environment. The tracking is formulated as a multidimensional nonlinear optimisation problem solved using particle swarm optimisation (PSO). We model the human body pose with a skeleton-driven subdivisionsurface human body model. The optimisation looks for the best match between the silhouettes generated by the projection of the model in a candidate pose and the silhouettes extracted from the original video sequence. In formulating the solution, we exploit the inherent parallel nature of PSO to formulate a GPUPSO, implemented within the nVIDIA TM CUDA TM architecture. Results demonstrate that the GPU-PSO implementation recovers the articulated body pose from 10-viewpoint video sequences with significant computational savings when compared to the sequential implementation, thereby increasing the practical potential of o...
Luca Mussi, Spela Ivekovic, Stefano Cagnoni
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICES
Authors Luca Mussi, Spela Ivekovic, Stefano Cagnoni
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