A Vision based Application for Virtual Mouse Interface Using Finger-Tip
نویسنده
چکیده
This paper presents a vision based virtual mouse interface using a single camera. A virtual panel which is a rectangular board with its borders shaded by red color and its four corners shaded by blue color are extracted using HSV color quantization. In consecutive frames of a video, four corners are tracked using color based histogram tracker. The four corners of rectangular panel are mapped to computer screen using Projective mapping. The position and direction of finger tip on virtual panel is estimated using ellipse fitting. The system identifies click events by a V shaped gesture recognized using Fourier descriptor and Nonlinear SVM. Keywords— Quadrangular Virtual-panel, HSV Color Quantization, Tracking, Homography, Ellipse-fitting, Fourier descriptor, Support Vector Machine.
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