NDLI: Two Hand Tracking Using Colour Statistical Model with the K-means Embedded Particle Filter for Hand Gesture Recognition

Content Provider	IEEE Xplore Digital Library
Author	Ongkittikul, S. Worrall, S. Kondoz, A.
Copyright Year	2008
Description	Author affiliation: Sch. of Electron. & Phys. Sci., Univ. of Surrey, Guildford (Ongkittikul, S.; Worrall, S.; Kondoz, A.)
Abstract	Particle filtering is an efficient and successful technique for tracking 2D and 3D motion through an image. We present the enhanced tracking of two hands based on a statistical model using only a skin colour feature with particle filtering for gesture recognition. Our framework employs one particle filter per hand individually with the pixel-wise classification of the likelihood of the skin in the window search. The skin classifier decision was trained from a set of skin samples in YCrCb space using an elliptical model. The tracking scheme employs a reliability measurement derived from the particle distribution which is used to adaptively weight the colour classification. The K-means algorithm is used to discriminate the split and merge between left and right hand. Experiments with a set of videos including the movement of two hands in cluttered backgrounds show that adaptive use of our scheme provides improvement compared to use with other techniques such as mean-shift tracking.
Starting Page	201
Ending Page	206
File Size	1073657
Page Count	6
File Format	PDF
ISBN	9780769531847
DOI	10.1109/CISIM.2008.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-26
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	K-means Target tracking Image recognition Filtering Shape Particle tracking Clutter Hand tracking HCI Human computer interaction Image segmentation Particle filters Skin Particle filter Meanshift
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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