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, doi: 10.1109/CISW.2007.4425487.
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.
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