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Visual mouse : SIFT detection and PCA recognition

conference contribution
posted on 2007-01-01, 00:00 authored by Hailing Zhou, L Xie, X Fang
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.

History

Event

Computational Intelligence and Security Workshops. Conference (2007 : Harbin, China)

Pagination

263 - 266

Publisher

IEEE Computer Society

Location

Harbin, China

Place of publication

Los Alamitos, Calif.

Start date

2007-12-15

End date

2007-12-19

ISBN-13

9780769530734

ISBN-10

0769530737

Language

eng

Publication classification

E1.1 Full written paper - refereed

Editor/Contributor(s)

Y Wang

Title of proceedings

CISW 2007 : Proceedings of the 2007 International Conference on Computational Intelligence and Security Workshops