Adaptive Motion Gesture Segmentation

Author

Tsai, Wen-kai ; Lin, Chung-chi ; Yang, Shyue-Wen ; Sheu, Ming-hwa ; Su, Ching-Lung

Author_Institution

Grad. Sch. of Eng. Sci. & Technol., Nat. Yunlin Univ. of Sci. & Technol., Yunlin

fYear

2008

fDate

29-31 July 2008

Firstpage

386

Lastpage

391

Abstract

In this paper, we propose a method to automatically obtain a user´s gesture skin color space which is used to perform gesture segmentation. The proposed approach is based on gesture skin color space that is obtained by the least squares approximations solution and Gaussian distributed model. In addition, we can also improve gesture segmentation defacement, which is caused by a complex background, shadow effect and light-reflection effect. Compared with NCC and YCbCr, our proposed method can achieve more accurate motion gesture segmentation.

Keywords

Gaussian distribution; gesture recognition; image colour analysis; image motion analysis; image segmentation; least squares approximations; Gaussian distributed model; adaptive motion gesture segmentation; complex background effect; gesture skin color space; least squares approximation; light-reflection effect; object detection; shadow effect; Computer vision; Conferences; Embedded software; Image segmentation; Least squares approximation; Lighting; Skin; Space technology; Support vector machine classification; Support vector machines; gesture segmentation; skin color;

fLanguage

English

Publisher

ieee

Conference_Titel

Embedded Software and Systems Symposia, 2008. ICESS Symposia '08. International Conference on

Conference_Location

Sichuan

Print_ISBN

978-0-7695-3288-2

Type

conf

DOI

10.1109/ICESS.Symposia.2008.70

Filename

4627191