Part-based initialization for hand tracking

Jiang Xu*, Ying Wu, Aggelos K Katsaggelos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations


Initializing hand/finger articulation for tracking is a very challenging problem, mainly because hand articulation is complicated and it has a large number of degrees of freedom. Most existing algorithms initialize tracking manually, or use a nearest-neighbor search with restricting the number of possible hand gestures. This paper presents a new solution to this problem by increasing the dimensionality but taking advantage of the sparseness. The basic idea is to divide the set of phalange joint angles into many overlapping subsets. As each subset has a much smaller number of joint angles, it is much easier to design a smaller-scale articulation estimator. The estimation of the whole hand is done by the collaboration of a network of dependent smaller-scale estimators. This paper describes a novel way of designing the smaller-scale estimators as well as a principled way of fusing the estimates. A tracking system is also shown by using this initialization technique.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Number of pages4
StatePublished - Dec 1 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: Sep 26 2010Sep 29 2010


Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
Country/TerritoryHong Kong
CityHong Kong


  • Hand tracking initialization

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


Dive into the research topics of 'Part-based initialization for hand tracking'. Together they form a unique fingerprint.

Cite this