Earticle

초록

영어

Tracking articulated hand motion from visual observations is challenging mainly due to the high dimensionality of the state space. Dense sampling is difficult to be performed in such high-dimensional space, so the traditional particle filtering can’t track articulated motion well. In this paper, we propose a new algorithm by combining differential evolution with a particle filter, to track the articulated motion of a hand from single depth images captured by a Kinect sensor. Through the optimization procedure of differential evolution, the particles are moved to the regions with a high likelihood. Only single depth information is used as the input, so our method is immune to illumination and background changes. The tracking system is developed with OpenSceneGraph (OSG). Experiments based on both synthetic and real image sequences demonstrate that the proposed method is capable of tracking articulated hand motion accurately and robustly.

목차

Abstract
 1. Introduction
 2. Hand Model
 3. Observation Model
 4. The Tracking Algorithm
  4.1. Particle Filtering
  4.2. Differential Evolution
  4.3. Combining Differential Evolution with Particle Filtering
 5. Experiments
  5.1. Experiments on Synthetic Sequences
  5.2. Experiments on Real Sequences
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Dongnian Li [ Virtual Engineering Research Center, School of Mechanical Engineering, Shandong University, Jinan 250061, China, Key Laboratory of High Efficiency and Clean Mechanical Manufacture (Shandong University), Ministry of Education, Jinan 250061, China ]
• Yiqi Zhou [ Virtual Engineering Research Center, School of Mechanical Engineering, Shandong University, Jinan 250061, China, Key Laboratory of High Efficiency and Clean Mechanical Manufacture (Shandong University), Ministry of Education, Jinan 250061, China ] corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605