New searching algorithm for articulated hand model fitting in gesture tracking system

Bo Liu; Xiao-juan Wu; Kai-bao Nie

doi:10.1117/12.441635

24 September 2001 New searching algorithm for articulated hand model fitting in gesture tracking system

Bo Liu, Xiao-juan Wu, Kai-bao Nie

Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441635
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Bo Liu, Xiao-juan Wu, and Kai-bao Nie "New searching algorithm for articulated hand model fitting in gesture tracking system", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); https://doi.org/10.1117/12.441635

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