Gesture tracking method of any hand shape

Abstract

The invention discloses a gesture tracking method of any hand shape. The method comprises the following steps: (1), initializing a background model; (2), initializing a position area of a hand; (3), obtaining a statistical histogram of a target area according to the position area of hand; (4), according to the statistical histogram, carrying out histogram back projection on an image that is read in at the current time so as to obtain a skin color probability graph; (5), difference processing is carried out on a current frame, a previous frame, and the background model respectively so as to obtain a difference image; (6), on the basis of the difference image, all pixel points are marked with different types so as to obtain a foreground probability graph; (7), a motion skin color probability graph based on the foreground probability graph and the skin color probability graph; (8), carrying out clustering on the motion skin color probability graph and localizing a precise position of the human hand; and (9) updating the background model according to a tracking result. According to the invention, human hand tracking can be carried out simply and effectively; and the requirement of the hand shape of the user is low. Moreover, the computation complexity is low; and the humanization effect is realized.

Description

technical field [0001] The invention relates to the technical field of gesture tracking, in particular to a method for tracking human hands with arbitrary hand shapes. Background technique [0002] Gesture tracking is an important part of the field of computer vision. With the introduction of the concept of smart home, gesture interaction technology is gradually becoming an important means of human-computer interaction. By endowing the computer with the ability to understand human hand movements, the researchers make the computer capture human hand image sequences, process the image sequences, obtain recognition of human hand movements, and obtain intelligent responses in the interactive system. [0003] In the process of gesture tracking, there are problems such as non-rigid deformation of the hand, environmental changes, background interference, and skin-color interference. At present, a lot of achievements have been made in the research field of hand gesture tracking at ...

AI Technical Summary

Problems solved by technology

The first method does not require high hand shape changes, but the tracking accuracy is not high, and it is easy to be disturbed by the background skin color; the latter two methods have good tracking effect under the premise of fixed hand shape, high precision, and can cope with certain deformation. But relatively speaking, the shape and movement method of the human hand are constrained

All of these make it impossible for users to get the most natural interactive experience during gesture interaction. During the interaction process, the complex background of the user affects the interaction effect, and the requirements for shape changes and movements will bring fatigue to the user.

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