Hand tracking in time-varying illumination

Author

Yao, Yuan ; Zhu, Miao-liang

Author_Institution

Inst. of Artificial Intelligent, Zhejiang Univ., Hangzhou, China

Volume

7

fYear

2004

fDate

26-29 Aug. 2004

Firstpage

4071

Abstract

Tracking hand using a Webcam in daily environment always suffers from limited dynamic range and changing light conditions. This work presents a novel approach to generate steady hand segmentation from the videos captured by a Webcam in the time-varying illumination. Our approach consists of two parts: automatic gain control (AGC) during capture and motion of skin distribution estimating. A Markov model is exploited to estimate and predict the skin color distribution and camera parameters. We show that examples of segmented hand in a variety of lighting conditions. This method is used in our augmented reality map navigation system for bare hand control. The experiment shows this process can run in real time and the error rate is acceptable.

Keywords

Internet; Markov processes; image colour analysis; image segmentation; navigation; skin; tracking; video cameras; video signal processing; Markov model; Webcam; automatic gain control; bare hand control; camera parameters; hand segmentation; hand tracking; lighting conditions; navigation system; skin color distribution; time varying illumination; Augmented reality; Cameras; Dynamic range; Gain control; Lighting; Motion estimation; Navigation; Predictive models; Skin; Videos;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on

Print_ISBN

0-7803-8403-2

Type

conf

DOI

10.1109/ICMLC.2004.1384552

Filename

1384552