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Hand Location and Hand Gesture Recognition in Fisheye Image

  

  1. 1. School of Mathematics, South China University of Technology, Guangzhou 510640, China;
    2. School of Electronics and Information, South China University of Technology, Guangzhou 510640, China
  • Received:2016-12-17 Online:2017-03-29 Published:2017-03-30

Abstract:

In view of the demand for hand gesture interaction in Augmented Reality （AR）, this paper proposes a method of hand location and hand gesture recognition in fisheye
image. First， skin color region is detected in YCbCr color space, then HSV space color histogram feature and shape feature is used to detect mark in the skin region, and to
divide hand area. Second, this method uses the centroid of mark as hand positioning center, according to imaging principle of fisheye lens, to calculate the 3D position of the
point relative to fisheye lens. Last, this paper extracts hand gesture shape features, to complete the procedure of recognizing hand gestures. Through the experiment of the 85
fisheye images with different background and light, the correct rate for recognizing gestures is 96%, recognizing single fisheye image takes about 0.03 s. The experimental
results show that the proposed method can realize hand location and hand gesture recognition quickly and effectively in complex background.

Key words:  , hand gesture recognition； hand location； fisheye image； skin detection； shape features extraction

CLC Number: