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Visual mouse : SIFT detection and PCA recognition Zhou, Hailing, Xie, Lijun and Fang, Xuliang 2007, Visual mouse : SIFT detection and PCA recognition, in CISW 2007 : Proceedings of the 2007 International Conference on Computational Intelligence and Security Workshops, IEEE Computer Society, Los Alamitos, Calif., pp. 263-266. Attached Files Name Description MIMEType Size Downloads Title Visual mouse : SIFT detection and PCA recognition Author(s) Zhou, Hailing Xie, Lijun Fang, Xuliang Conference name Computational Intelligence and Security Workshops. Conference (2007 : Harbin, China) Conference location Harbin, China Conference dates 15-19 Dec. 2007 Title of proceedings CISW 2007 : Proceedings of the 2007 International Conference on Computational Intelligence and Security Workshops Editor(s) Wang, Yuping Publication date 2007 Conference series Computational Intelligence and Security Workshops. Conference Start page 263 End page 266 Total pages 4 Publisher IEEE Computer Society Place of publication Los Alamitos, Calif. Keyword(s) cameras computer displays computer vision fingers hardware mice object detection principal component analysis virtual manufacturing vocabulary Summary The paper presents the Visual Mouse (VM), a novel and simple system for interaction with displays via hand gestures. Our method includes detecting bare hands using the fast SIFT (Scale-Invariant Feature Transform) algorithm saving long training time of the Adaboost algorithm, tracking hands based on the CAMShift algorithm, recognizing hand gestures in cluttered background via Principle Components Analysis (PCA) without extracting clear-cut hand contour, and defining simple and robustly interpretable vocabularies of hand gestures, which are subsequently used to control a computer mouse. The system provides a fast and simple interaction experience without the need for more expensive hardware and software. ISBN 9780769530734 0769530737 Language eng Field of Research 080103 Computer Graphics 080104 Computer Vision 080106 Image Processing Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30049224 Document type: Conference Paper Collection: Centre for Intelligent Systems Research Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 01 Nov 2012, 13:11:51 EST Tue, 27 Nov 2012, 09:51:31 EST Tue, 27 Nov 2012, 09:52:31 EST Thu, 09 Oct 2014, 10:17:31 EST Filtered Full Citation counts: Cited 8 times in Scopus Search Google Scholar Access Statistics: 38 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 01 Nov 2012, 13:11:51 EST

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