期刊
VISUAL COMPUTER
卷 30, 期 10, 页码 1133-1144出版社
SPRINGER
DOI: 10.1007/s00371-013-0894-1
关键词
Hand tracking; Virtual reality; Motion capture; User interface; 3D interaction
资金
- National 973 Program of Basic Research on Science and Technology [2009CB320800]
- NSFC [61272326]
- University of Macau
In this paper, we introduce a novel, real-time and robust hand tracking system, capable of tracking the articulated hand motion in full degrees of freedom (DOF) using a single depth camera. Unlike most previous systems, our system is able to initialize and recover from tracking loss automatically. This is achieved through an efficient two-stage k-nearest neighbor database searching method proposed in the paper. It is effective for searching from a pre-rendered database of small hand depth images, designed to provide good initial guesses for model based tracking. We also propose a robust objective function, and improve the Particle Swarm Optimization algorithm with a resampling based strategy in model based tracking. It provides continuous solutions in full DOF hand motion space more efficiently than previous methods. Our system runs at 40 fps on a GeForce GTX 580 GPU and experimental results show that the system outperforms the state-of-the-art model based hand tracking systems in terms of both speed and accuracy. The work result is of significance to various applications in the field of human-computer-interaction and virtual reality.
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