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Real-Time Multi-view Human Motion Tracking Using 3D Model and Latency Tolerant Parallel Particle Swarm Optimization
Bogdan Kwolek, Tomasz Krzeszowski, Konrad Wojciechowski
MIRAGE 2011: Computer Vision/Computer Graphics Collaboration Techniques, October 2011, pp. 169--180.

Abstract: This paper demonstrates how latency tolerant parallel particle swarm optimization can be used to achieve real-time full-body motion tracking. The tracking is realized using multi-view images and articulated 3D model with a truncated cones-based representation of the body. Each CPU core computes fitness score for a single camera. On each node the algorithm uses the current temporary best fitness value without waiting for the global best one from cooperating sub-swarms. The algorithm runs at 10 Hz on eight PC nodes connected by 1 GigE.

Article URL: http://dx.doi.org/10.1007/978-3-642-24136-9_15

BibTeX format:

@incollection{Kwolek:2011:RMH,
  author = {Bogdan Kwolek and Tomasz Krzeszowski and Konrad Wojciechowski},
  title = {Real-Time Multi-view Human Motion Tracking Using 3D Model and Latency Tolerant Parallel Particle Swarm Optimization},
  booktitle = {MIRAGE 2011: Computer Vision/Computer Graphics Collaboration Techniques},
  pages = {169--180},
  month = oct,
  year = {2011},
}

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