Static gesture characteristic describing method based on tetragon skeleton structure

Abstract

The invention discloses a static hand gesture description method based on the quadrangle skeleton structure; the skin-color region is detected to obtain the binary mask of the static hand gesture region; then the contour-rectangle is constructed according to the binary mask and is equally divided into four sub rectangles; the centroids of the binary mask pixel point sets in the four sub rectangles are searched in the four sub rectangles; the four centroids are connected to construct a quadrangle skeleton used for indicating different hand gestures; then six perimeter ratios, four angle perimeter ratios and four rectangle degrees of the quadrangle skeleton are extracted and used as the description characteristic values; the description characteristic values are processed normalization to form the 14-dimensional characteristic vector for expressing different static hand gestures. The static hand gesture description method not only can recognize the characteristics of the common hand gestures, but also can recognize the characteristics of the complex static hand gestures, so as to satisfy the real-time processing requirement and improve the recognition correct rate of the complex hand gestures.

Description

technical field [0001] The invention belongs to the technical field of image biological feature recognition, and relates to a static gesture feature description method, in particular to a static gesture feature description method based on a quadrilateral skeleton structure. Background technique [0002] Gesture recognition, a related technology belonging to the category of body language recognition, is a biometric recognition technology; it can be used in human-computer interaction, dumb language translation and other fields. Gestures can be defined as static gestures and dynamic gestures according to their motion states. [0003] The feature description of static gestures is a key link in gesture recognition technology. The existing feature descriptions of static gestures mostly use methods such as invariant moments, Fourier descriptors, and intersection statistics, but these methods are correct for the recognition of complex gestures. The rate is low and time-consuming, w...

AI Technical Summary

Problems solved by technology

[0003] The feature description of static gestures is a key link in gesture recognition technology. The existing feature descriptions of static gestures mostly use methods such as invariant moments, Fourier descriptors, and intersection statistics, but these methods are correct for the recognition of complex gestures. The rate is low and time-consuming, which cannot meet the requirements for real-time extraction of feature gestures

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