Title
Fusion hand gesture segmentation and extraction based on CMOS sensor and 3D sensor.
Abstract
Gesture recognition is one of the most promising subjects in the field of computer vision and artificial intelligence; the development of it will have a profound influence on the research of robot control and Human-Machine Interface HMI and image segmentation is a key step in image recognition. This paper based on Kinect sensor developed by Microsoft gives an introduction on its hardware structure and the measuring method of depth camera. At the same time we will collect the colour hand gesture images as samples, to introduce the traditional skin colour image segmentation method in HSV and YCbCr colour space. Finally, a new 3D image hand gesture segmentation method based on depth information will be proposed.
Year
DOI
Venue
2017
10.1504/IJWMC.2017.084818
IJWMC
Field
DocType
Volume
YCbCr,Computer vision,HSL and HSV,Robot control,Computer science,Segmentation,Gesture,Gesture recognition,CMOS sensor,Image segmentation,Artificial intelligence
Journal
12
Issue
Citations 
PageRank 
3
8
0.46
References 
Authors
16
7
Name
Order
Citations
PageRank
Disi Chen1397.70
Gongfa Li223943.45
Ying Sun329140.03
Guozhang Jiang417227.25
Jianyi Kong58013.32
Jiahan Li691.82
Honghai Liu71974178.69