Visual Hand Tracking Using MDSA Method

Author

Liang, Wei ; Jia, Yunde ; Sun, Fuchun ; Ning, Bing ; Liu, Tangli ; Wu, Xinxiao

Author_Institution

Dept. of Comput. Sci. & Eng., Beijing Inst. of Technol., Beijing

Volume

1

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

255

Lastpage

259

Abstract

Hand tracking is a challenging problem due to the complexity of searching in a 20+ degrees of freedom (DOF) space for an optimal estimation of hand configuration. This paper represents a MDSA method (multi-directional search with simulated annealing) to obtain the best matching hand configurations. It uses an extended simulated annealing method (SA) with particle filter to search for optimal hand configurations in a discrete space, in which simplex search running in multi-processor (MD) is designed to predict the hand motion instead of initializing the simulated annealing randomly. The experimental results show that this method makes the hand tracking more efficient and robust.

Keywords

gesture recognition; image matching; motion estimation; particle filtering (numerical methods); search problems; simulated annealing; tracking; discrete space; image matching; multidirectional search method; multiprocessor system; optimal hand configuration estimation; particle filter; simplex search; simulated annealing; visual hand motion tracking; Bones; Fingers; Humans; Particle filters; Predictive models; Simulated annealing; Space technology; Systems engineering and theory; Tracking; Wrist; hand tracking; simplex search; simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Engineering in Systems Applications, IMACS Multiconference on

Conference_Location

Beijing

Print_ISBN

7-302-13922-9

Electronic_ISBN

7-900718-14-1

Type

conf

DOI

10.1109/CESA.2006.4281659

Filename

4281659