1 research outputs found
Hand Pointing Detection Using Live Histogram Template of Forehead Skin
Hand pointing detection has multiple applications in many fields such as
virtual reality and control devices in smart homes. In this paper, we proposed
a novel approach to detect pointing vector in 2D space of a room. After
background subtraction, face and forehead is detected. In the second step,
forehead skin H-S plane histograms in HSV space is calculated. By using these
histogram templates of users skin, and back projection method, skin areas are
detected. The contours of hand are extracted using Freeman chain code
algorithm. Next step is finding fingertips. Points in hand contour which are
candidates for the fingertip can be found in convex defects of convex hull and
contour. We introduced a novel method for finding the fingertip based on the
special points on the contour and their relationships. Our approach detects
hand-pointing vectors in live video from a common webcam with 94%TP and 85%TN.Comment: Accepted for oral presentation in DSP201