A Monocular Gesture Recognition Method under Complex Background and Illumination

Abstract

The invention relates to a monocular gesture recognition method under complex background and illumination. The monocular gesture recognition method comprises the following steps: S1, firstly performing skin color recognition on an obtained image so as to obtain a preliminary hand image; S2, then performing mobile object detection on the treated preliminary hand image by using an inter-frame difference method so as to obtain a more complete hand outline image; S3, establishing an outline convex hull model of the more complete hand outline image which is obtained in the step S2, judging gestures, and further completing hand recognition under the complex background so as to obtain a hand model; S4, finally calculating the center of the gravity of the hand model extracted in the step S3 so as to obtain a kinematic trajectory, and completing dynamic gesture recognition under the complex background. According to the monocular gesture recognition method disclosed by the invention, influence of illumination can be reduced, the rate of judging, reading and recognizing the gestures can be increased, and the gesture recognition can be performed under the complex background.

Description

Technical field [0001] The invention relates to the field of gesture recognition, in particular to a monocular gesture recognition method under complex background and illumination. Background technique [0002] Video equipment such as monitors are watched from a long distance by users, so most of them use remote control or mouse and keyboard to operate. As products become more intelligent, the operation method using remote control can no longer meet the needs of users. As a new type of control method, gesture control is gradually being applied to control displays and other products. [0003] At present, a typical gesture recognition technology uses a camera to take an image, recognizes the user's hand by recognizing the skin color of the image, and then determines the user's gesture based on the shape and displacement of the hand. Gesture recognition technology realizes the capture of hand information and the conversion of hand information to commands, but the existing gesture rec...

AI Technical Summary

Problems solved by technology

Gesture recognition technology realizes the capture of hand information and the conversion of hand information to commands, but there are some defects in the existing gesture recognition methods, because skin color recognition is mainly to recognize the color of the captured image, and the color itself is affected by the outside world. The influence of light is greater, and the display itself is luminous. The light shining on the user will change the user's skin color, and this effect is particularly obvious at night

In this case, the accuracy of skin color recognition will be reduced, making gesture recognition more accurate

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