Real-time gesture recognition method

A gesture recognition and gesture technology, applied in the field of image processing, can solve the problems of different manifestations, very high processing capacity requirements, and lower recognition rate, etc.

Inactive Publication Date: 2018-04-24
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Benefits of technology

This new technology improves how people interact with their devices more intuitively for better user experience. It uses advanced techniques like motion detection or depth sensing to recognize movements accurately without being affected by external light sources such as artificial lights that may affect visual quality. Additionally, it simplifies learning about moving objects from images captured on cameras due to its simplicity compared to traditional methods. Overall, this innovation makes interactions between humans smoother and easier than previous ways.

Problems solved by technology

This patented technical problem addressed by this patents relates to improving recognizing dynamics for complicated or diverse scenes without being limited due to environmental factors like colors, brightness levels, and motion blur caused by these sources.

Method used

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Embodiment Construction

[0044] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0045] First, the gesture video is captured in real time through the terminal camera, the image module collects the image information, and sorts the images in chronological order, performs preprocessing on each frame of the obtained image and performs hand region segmentation, and extracts the hand shape features and motion of the hand region The direction feature of the trajectory, the hand shape feature is sent to the corresponding gesture value in the SVM classifier, and it is combined with the extracted trajectory direction feature to form the feature vector of the dynamic gesture, so that the obtained feature vector sequence is consistent with all the templates in the template library. Perform DTW matching and calculate its distortion degree. If th

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Abstract

The invention discloses a real-time gesture recognition method which comprises the steps of (1) decomposing an obtained gesture video into image sequences sorted in a chronological order and preprocessing obtained images and then carrying out hand-region segmentation, (2) extracting a hand shape feature of a hand region in each image and using an SVM support vector machine to identify the hand shape feature as a corresponding gesture value, (3) combining the gesture value of each image and a direction feature of a motion trajectory obtained by an iterating LK pyramid optical flow algorithm asa feature vector of each dynamic gesture image, (4) carrying out loop execution of steps (2) and (3) with a loop end condition that all images of a current video are processed so as to obtain a complete set of feature vector sequences, (5) creating a gesture template library, (6) carrying out optimization DTW match on the obtained feature vector sequences and all templates in a template library, calculating the degree of distortion of the match, wherein recognition is failed if the degree of distortion is larger than a distortion threshold, and a recognition result is outputted if the degree of distortion is smaller than the distortion threshold.

Description

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Claims

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Application Information

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Owner NANJING UNIV OF POSTS & TELECOMM
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