DocumentCode
1937765
Title
Gesture segmentation based on neural net and motion information
Author
Wu Xiaojuan ; Jun, Yang ; Lei, Geng
Author_Institution
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
fYear
2005
fDate
28-30 May 2005
Firstpage
280
Lastpage
283
Abstract
In this paper, a method combining skin color with motion information to detect and segment gesture in complex background is proposed. We put in RGB information of a pixel, judge the output and obtain the information that belongs to the skin area. Suppose that the hand motion is the master motion and by twice clustering, we can localize the hand. Experiment result shows this method is adaptive and robust, and can be adopted in many other research regions.
Keywords
gesture recognition; image colour analysis; image motion analysis; image resolution; image segmentation; neural nets; RGB information; gesture segmentation; hand motion; motion information; neural net; skin color; Data mining; Feedforward neural networks; Filtering algorithms; Information analysis; Information filtering; Information filters; Information science; Neural networks; Skin; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
VLSI Design and Video Technology, 2005. Proceedings of 2005 IEEE International Workshop on
Print_ISBN
0-7803-9005-9
Type
conf
DOI
10.1109/IWVDVT.2005.1504605
Filename
1504605
Link To Document