Title :
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
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;
Conference_Titel :
Embedded Software and Systems Symposia, 2008. ICESS Symposia '08. International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-0-7695-3288-2
DOI :
10.1109/ICESS.Symposia.2008.70
