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Static gesture recognition method based on Kinect sensor

A gesture recognition and sensor technology, applied in character and pattern recognition, instruments, image data processing, etc., can solve the needs of different types of feature extraction and the constraints of steps and methods, and achieve the effect of high precision and efficiency

Inactive Publication Date: 2021-05-25
SUZHOU YUTA TECH CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the current static gesture recognition is convenient based on depth image technology and is less disturbed by lighting and complex backgrounds, it is still restricted by the requirements and steps of different types of feature extraction. How to improve and improve the accuracy and efficiency of static gesture recognition is a problem. important question

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  • Static gesture recognition method based on Kinect sensor
  • Static gesture recognition method based on Kinect sensor
  • Static gesture recognition method based on Kinect sensor

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Embodiment Construction

[0013] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0014] figure 1 It is the flowchart provided by the present invention, such as figure 1 shown, including steps:

[0015] S101, using a Kinect sensor to obtain static gesture depth image information;

[0016] S102. Using a computer to implement a nonlinear depth median filter to preprocess the hand depth image;

[0017] S103. Using a grayscale histogram algorithm to perform gesture segmentation to obtain hand region images;

[0018] Specifically, step S103 ...

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Abstract

The invention discloses a static gesture recognition method based on a Kinect sensor. The static gesture recognition method comprises the steps that the Kinect sensor is adopted to obtain static gesture depth image information; the computer preprocesses the hand depth image by adopting nonlinear depth median filtering; gesture segmentation is performed based on a grey level histogram algorithm to obtain a hand region image; a hand region image with good robustness is obtained by adopting a histogram of oriented gradient (HOG) feature extraction algorithm; a computer is adopted to extract HOG features, the weighted Euclidean distance between the HOG features and the standard template is minimum and does not exceed a set threshold value, gesture category judgment is carried out, and a result is given. The static gesture recognition precision and efficiency are higher.

Description

technical field [0001] The invention relates to the technical field of computer vision static gesture recognition, in particular to the static gesture recognition technology based on a Kinect sensor. Background technique [0002] Artificial intelligence visual recognition technology is one of the key technologies in the development of service robots. Gesture recognition has become a hot spot in the development and application of robot visual recognition technology due to its intuitive, natural and rich characteristics. In the development of static gesture recognition technology in the field of human-computer interaction and machine vision, because Microsoft launched the Kinect peripheral sensor and solved the problem of obtaining depth images, the human hand area and the background area have different depth values ​​​​in the depth image, which can be more convenient. Gesture region detection using threshold segmentation method. Although the current static gesture recognitio...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06T5/00G06T5/40G06T7/11G06T7/13G06T7/136G06T7/50
CPCG06T7/11G06T7/136G06T7/50G06T7/13G06T5/40G06V40/113G06V10/50G06T5/70
Inventor 不公告发明人
Owner SUZHOU YUTA TECH CO LTD
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