Fingertip detection method in complex environment

Abstract

The invention provides a fingertip detection method in a complex environment. The fingertip detection method comprises the steps of: step 1, calculating dense light stream information corresponding to scene information, and reconstructing a skin color filter to obtain a hand region; step 2, and constructing models of the hand region in various gestures by adopting equal-area blocks, calculating a mass center of the hand region, calculating distances from all contour sampling points to the mass center and an average mass center distance, determining an extended mass center distance according to detected number of fingertips, drawing a circle by taking the mass center as a circle center and the extended mass center distance as the radius, removing contour points inside the circle and a wrist region with maximum number of continuous pixels on the circle, searching contour points with partial maximum mass center distance outside the circle, and marking the contour points as fingertips, and comparing the detected number of fingertips in this round with the detected number of fingertips in the last round to judge whether to continue the fingertip detection. The fingertip detection method is high in robustness, and can detect the fingertips correctly when the hand of a person moves in front of a camera freely in the complex environment, thereby increasing the accuracy and effectiveness of fingertip detection.

Description

technical field [0001] The invention relates to the technical field of image processing and analysis, and more specifically, to a fingertip detection method in a complex environment. Background technique [0002] Traditional human-computer interaction systems mainly communicate information between humans and computers through buttons, mice, keyboards and other media. Most of these interaction methods have shortcomings such as limited functions and large space occupations, which restrict the development of human-computer interaction technology. In recent years, with the development of computer science and artificial intelligence technology, human-computer interaction gradually tends to be natural and intuitive. Among them, the human-computer interaction method based on computer vision technology is easy to use, high in flexibility, and strong in noise resistance. These characteristics have attracted the attention of more and more researchers. [0003] As an important part of...

AI Technical Summary

Problems solved by technology

[0004] At present, there are still many problems in fingertip detection technology that have not been solved: (1) the human hand is a non-rigid object with a high degree of freedom, so it is impossible to use a fixed template to match fingers in different situations; (2) the appearance of fingers of different people exists It is very difficult to accurately detect the shape and posture of fingers of different people; (3) There are subtle differences even in the fingers of the same person. If these subtle differences cannot be correctly identified, the detection results will be brought Large error; (4) Segmenting the hand area from the scene is the basis for fingertip detection. When the environment is more complex, it is more difficult to accurately segment the hand area

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