NDLI: Skin cluster tracking and verification for hand gesture recognition

Content Provider	IEEE Xplore Digital Library
Author	Gutzeit, E. Vahl, M. Zhiliang Zhou von Lukas, U.
Copyright Year	2011
Description	Author affiliation: Fraunhofer IGD, Institute for Computer Graphics Research, Joachim-Jungius-Str. 11, 18059 Rostock, Germany (Gutzeit, E.; Vahl, M.; Zhiliang Zhou; von Lukas, U.)
Abstract	Device free communication is getting more and more popular. A comfortable and easy way to accomplish this is interaction with hand gestures. A very good gesture recognition system is required in order to avoid frustration among users. The major challenge in hand gesture recognition lies in an accurate segmentation of the hand. The accurate segmentation of skin colored body parts is an active field of research, and much research has been done to solve this segmentation problem with skin models or skin classification rules. In this paper we address hand segmentation and introduce a novel approach based on the extraction, tracking and verification of skin clusters in color space during runtime. An evaluation shows, that our approach performs significantly better than other approaches used for comparison.
Starting Page	241
Ending Page	246
File Size	573959
Page Count	6
File Format	PDF
ISBN	9781457708411
ISSN	18455921
e-ISBN	9789531841597
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-04
Publisher Place	Croatia
Access Restriction	Subscribed
Subject Keyword	Skin Image color analysis Image segmentation History Gesture recognition Adaptation models Lighting
Content Type	Text
Resource Type	Article

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