Earticle

초록

영어

This paper proposed an algorithm for 3D hands tracking on the learned hierarchical latent variable space, which employs a Hierarchical Gaussian Process Latent Variable Model(HGPLVM) to learn the hierarchical latent space of hands motion and the nonlinear mapping from the hierarchical latent space to the pose space simultaneously. Nonlinear mappings from the hierarchical latent space to the space of hand images are constructed using radial basis function interpolation method. With these mappings, particles can be projected into hand images and measured in the image space directly. Particle filters with fewer particles are used to track the hand on the learned hierarchical low-dimensional space. Then the Hierarchical Conditional Random Field, which can capture extrinsic class dynamics and learn the relationship between motions of hand parts and different hand gestures simultaneously, is presented to model the continuous hand gestures. Experimental results show that our proposed method can track articulated hand robustly and approving recognition performance has also been achieved on the user-defined hand gesture dataset.

목차

Abstract
 1. Introduction
 2. Human Hand Tracking Method
  2.1. Method based on Appearance
  2.2. Model-based Method
 3. Hierarchical Latent Variable Space of Human Hand Movement
 4. 3D Human Hand Tracking
  4.1. Non-linear Mapping from Hierarchical Latent Variable Space to Image Space
  4.2 Tracking Algorithm
 5. Experiment Design and Discussion
  5.1. Experimental Design
  5.2. The Results of Experiment and Analysis
 6. Conclusion
 References

키워드

저자

• Lihua Tian [ College of Geoexploration Science and Technology Jilin University, Changchun 130012, China, College of Optical and Electronical Information, Changchun University of Science and Technology, Changchun 130012, China ]
• Liguo Han [ College of Geoexploration Science and Technology Jilin University, Changchun 130012, China ]
• Xiujuan Gu [ Jilin Jianzhu University, Changchun 130012, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605