Fingertip detection method

Abstract

The invention discloses a fingertip detection method, which comprises the following steps of: 11, extracting edge information from an input binary image sequence to obtain an edge outline of a skin color region; 12, interpolating a point sequence of the edge outline of the skin color region to ensure that the density of the point sequence on the outline is uniform; 13, calculating curvatures of points on the edge of the outline, and screening a set of similar fingertip points by setting the curvatures of the edge points; and 14, clustering the similar fingertip points, and selecting a plurality of points from the set of the similar fingertip points as the similar fingertip points. A basic condition is supplied to detection of the similar fingertip points based on the curvatures through operation of edge detection, tracking, edge point interpolation and the like; groove points among fingers and arm points are filtered, so that the similar fingertip points are determined to be fingertip points; most operation is based on the similar fingertip points, so that the whole efficiency is relatively high; and requirement for the real-time performance of a system can be met, and the performance of the system is improved.

Description

technical field [0001] The invention belongs to the technical field of gesture recognition, and in particular relates to a fingertip detection method, which can efficiently and quickly locate the fingertip position. Background technique [0002] At present, with the gradual development of science and technology, the human-computer interaction interface is becoming more and more friendly and convenient. In recent years, various new human-computer interaction systems have emerged in front of consumers, such as touch screens, data gloves, somatosensory games, remote control handles, and bare hands. Among them, touch screens, data gloves, and remote control handles are widely used in the fields of commercial, game, and consumer electronics products because of their high recognition rate and simple implementation. However, free-hand operation by recognizing gesture images collected by ordinary cameras has gradually become the focus of consumers' attention because of its low cost...

AI Technical Summary

Problems solved by technology

However, due to the complexity of the background and the real-time requirements of the system, it is difficult for existing methods to detect fingertips efficiently and quickly, and the precise positioning of fingertips is still a challenging subject.

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