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.

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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
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