Int. J. of Wireless and Mobile Computing   »   2017 Vol.12, No.3

 

 

Title: Fusion hand gesture segmentation and extraction based on CMOS sensor and 3D sensor

 

Authors: Disi Chen; Gongfa Li; Ying Sun; Guozhang Jiang; Jianyi Kong; Jiahan Li; Honghai Liu

 

Addresses:
College of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, China
College of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, China
College of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, China
College of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, China
College of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, China
College of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, China
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China; School of Computing, University of Portsmouth, Portsmouth, PO1 3HE, UK

 

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.

 

Keywords: Kinect; CMOS sensor; skin colour segmentation; depth image.

 

DOI: 10.1504/IJWMC.2017.10005959

 

Int. J. of Wireless and Mobile Computing, 2017 Vol.12, No.3, pp.305 - 312

 

Submission date: 18 Nov 2016
Date of acceptance: 07 Feb 2017
Available online: 27 Jun 2017

 

 

Editors Full text accessAccess for SubscribersPurchase this articleComment on this article