Title :
Study on Hand Gesture Segmentation
Author :
Bao Hong ; Zhao Xinggui
Author_Institution :
Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
The aim of this paper is to implement the hand gesture detection by examine the monocular video images under complex background. Skin color detection and background subtraction algorithm are adopted to achieve the detection of hand gesture area from video image. The implement of arm removal and noise reduction algorithm is proved beneficial to reduce the redundancy from binary image of hand gesture.
Keywords :
gesture recognition; image colour analysis; image denoising; image segmentation; skin; statistical analysis; arm removal; background subtraction algorithm; hand gesture detection; hand gesture segmentation; monocular video image; noise reduction algorithm; skin color detection; Brightness; Colored noise; Gesture recognition; Image color analysis; Image segmentation; Pixel; Skin;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5631457
