Real-time multi-view human motion tracking using 3D model and latency tolerant parallel particle swarm optimization

Authors:
Bogdan Kwolek;Tomasz Krzeszowski;Konrad Wojciechowski
Affiliations:
Rzeszów University of Technology, Rzeszów, Poland and Polish-Japanese Institute of Information Technology, Warszawa, Poland;Polish-Japanese Institute of Information Technology, Warszawa, Poland and Rzeszów University of Technology, Rzeszów, Poland;Polish-Japanese Institute of Information Technology, Warszawa, Poland
Venue:
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
Year:
2011

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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.