Method for detecting gesture based on RGB-D image

Abstract

The invention provides a method for detecting a gesture based on an RGB-D image. The method comprises the following steps of: step 1, acquiring the RGB-D image; step 2, segmenting the hands from a background; step 3, identifying the gesture; step 4, finding the optimal segmentation of the gesture. The detecting the gesture based on the RGB-D image provided by the invention is capable of effectively segmenting the areas of human hands, accurate in segmentation, capable of obtaining good gesture segmentation even if in the case that the hands are partially self-shielded or the interference of other people exists in the background, and good in algorithm robustness.

Description

Technical field [0001] The invention relates to the technical field of digital image processing, in particular to a gesture detection method based on RGB-D images. Background technique [0002] The human-computer interaction interface needs to be as intuitive and natural as possible. The user interacts with the machine without cumbersome equipment (such as colored markers or gloves) or devices like remote control, mouse and keyboard. Gestures can provide a simple way of communication combined with machine intelligence. It can be found that gesture systems have been successfully applied in various research and industrial fields. For example: game control, virtual environment, smart home and sign language recognition, etc. [0003] The quality of gesture segmentation directly affects the accuracy and accuracy of subsequent gesture feature extraction, tracking, and recognition. In recent years, researchers at home and abroad have proposed a variety of methods in the study of gestu...

AI Technical Summary

Problems solved by technology

In addition, some people have proposed a similar method, but it requires the RGB camera and the Depth camera to be calibrated first, which increases the complexity and cumbersomeness of the algorithm.

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