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Gait recognition method, device and equipment and storage medium

A gait recognition and gait technology, applied in the computer field, can solve the problem of low accuracy of recognition results, and achieve the effect of improving the accuracy.

Pending Publication Date: 2020-01-17
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a gait recognition method, device, equipment and storage medium, which solves the problem of low accuracy of recognition results existing in related technologies

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  • Gait recognition method, device and equipment and storage medium
  • Gait recognition method, device and equipment and storage medium
  • Gait recognition method, device and equipment and storage medium

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Embodiment Construction

[0067] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0068] Computer Vision Technology (Computer Vision, CV): Computer vision is a science that studies how to make machines "see". More specifically, it refers to machine vision that uses cameras and computers instead of human eyes to identify, track and measure targets. , and further do graphics processing, so that the computer processing becomes an image that is more suitable for human observation or sent to the instrument for detection. As a scientific discipline, computer vision studies related theories and technologies, trying to build artificial intelligence systems that can obtain information from images or multidimensional data. Computer vision technology usually includes image processing, image recognition, image semantic un...

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Abstract

The embodiment of the invention discloses a gait recognition method, device and equipment and a storage medium, and belongs to the technical field of computers. The method comprises the following steps: acquiring a plurality of video frames including the same human body in a target video; obtaining gait contour maps of the plurality of video frames, wherein the arrangement sequence of the gait contour maps is the same as the arrangement sequence of the video frames corresponding to the gait contour maps; performing fusion according to at least two gait contour images in the plurality of gait contour images to obtain at least one fusion feature image, the at least two gait contour images being adjacent; and performing identification according to the at least one fusion feature map to obtainidentification information corresponding to the target video. When the gait contour map is processed, the static characteristics and the dynamic characteristics of the gait can be obtained, and recognition is performed according to the obtained static characteristics and the obtained dynamic characteristics, so that the accuracy of a recognition result is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a gait recognition method, device, equipment and storage medium. Background technique [0002] Based on the different characteristics of each person's walking posture, a gait recognition technology is currently proposed, which aims to obtain human body identification information according to the human body's walking posture, and use the identification information to represent human characteristics, which is difficult to hide and easy to collect. And other advantages, widely used in identification, video surveillance and other fields. [0003] Such as figure 1 As shown, a target video including a human body is acquired, the gait contour map corresponding to multiple video frames in the target video is obtained, and the multiple gait contour maps are weighted and averaged to obtain a gait energy map. Feature extraction is performed on the gait energy map to obtain the...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/25G06V20/42G06N3/045G06F18/253
Inventor 张均余宗桥孙星彭湃郭晓威
Owner TENCENT TECH (SHENZHEN) CO LTD