Share Email Print

Proceedings Paper

New searching algorithm for articulated hand model fitting in gesture tracking system
Author(s): Bo Liu; Xiao-juan Wu; Kai-bao Nie
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The matching process between the input data of real hand's characteristic marks and postulated positions of the model is needed while using model-based methods in gesture recognition. This fitting process can be regarded as a procedure of optimization based on a certain hand alignment measure. In this paper, an improved algorithm for the model fitting process is proposed to substitute conventional searching algorithm. The algorithm is the combination of Genetic Algorithm (GA) and classical Line Searching Algorithm (LSA). The new algorithm guarantees the fitting solution to be the global optimal and the operation near to be real time implementable. The experimental results show that the proposed algorithm is capable of searching optimal internal model positions with high speed and precision.

Paper Details

Date Published: 24 September 2001
PDF: 5 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441635
Show Author Affiliations
Bo Liu, Shandong Univ. (China)
Xiao-juan Wu, Shandong Univ. (China)
Kai-bao Nie, Shandong Univ. (China)

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies
Jun Shen; Sharatchandra Pankanti; Runsheng Wang, Editor(s)

© SPIE. Terms of Use
Back to Top