Target person hand gesture interaction method based on monocular video sequence

Abstract

The invention provides a target person hand gesture interaction method based on a monocular video sequence. The target person hand gesture interaction method comprises the following steps: first, acquiring an image in a monocular video frame sequence, using a movement detection algorithm to extract a movement foreground mask, and using a palm classifier to detect the minimum circumscribed rectangle frame of a palm and screen the palm of a target person; extracting a color histogram model from the palm image of the target person, calculating the reverse projection drawing of the palm image of the target person, and summarizing the area model of the palm of the target person; for a tracked target region, using a color model to calculate the reverse projection drawing, and calculating the area of the current frame of a target person hand to judge the static gesture of the target person hand: a fist or the palm; using the fist gesture or the palm gesture to carry out click or move interaction control. The target person hand can be screened under complicated background, and the tracking of any hand gesture and the recognition of any preset trajectory are finished. The method can be applied on an embedded platform with low operation capability and is simple, speedy and stable.

Description

Technical field [0001] The present invention relates to man-machine interaction technology, in particular to a target person gesture interaction method based on monocular video sequences. Background technique [0002] Somatosensory control technology based on gesture recognition has become an important means of human-computer interaction. It collects the user's action picture through a normal camera, uses a pattern recognition algorithm to detect and locate the hand features in the image, and recognizes the shape of the hand, converts this recognition information into an operation signal, and feeds it back to a smart TV and other terminals , And trigger the corresponding operation commands, such as TV program switching, volume adjustment, simple game interaction, etc. Gesture recognition technology is based on the camera equipped with the smart terminal. The above operations can be completed by installing the corresponding recognition software on the terminal. Therefore, it has ...

AI Technical Summary

Problems solved by technology

[0009] The present invention proposes a target-person gesture interaction algorithm based on a monocular video sequence, which solves the problem in the existing intelligent terminal such as a smart TV due to the complexity of the gesture recognition algorithm itself and the large amount of video processing required in the prior art. It is difficult to get smooth operation on the embedded platform

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