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Video data-based real-time attitude recognition method, device, and computing device

A technology of video data and posture, applied in the field of image processing, can solve problems such as inability to respond in time, slow processing speed, slow response, etc.

Active Publication Date: 2020-12-11
BEIJING QIHOO TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The processing speed is slower, and it takes more time. Relatively, the response to gesture recognition will also be slower, and it will not be able to respond in a timely manner.

Method used

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  • Video data-based real-time attitude recognition method, device, and computing device
  • Video data-based real-time attitude recognition method, device, and computing device
  • Video data-based real-time attitude recognition method, device, and computing device

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Embodiment Construction

[0079] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0080] figure 1 A flow chart of a method for real-time gesture recognition based on video data according to an embodiment of the present invention is shown. Such as figure 1 As shown, the real-time attitude recognition method based on video data specifically includes the following steps:

[0081] Step S101, acquiring in real time the current frame image in the video captured and / or recorded by the image acquisition device.

[00...

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Abstract

The invention discloses a real-time attitude recognition method and device based on video data, and a computing device. The method performs group processing on frame images included in the video data, including: acquiring in real time the video captured and / or recorded by the image acquisition device The current frame image; the current frame image is input into the trained neural network, and the pose recognition is performed on the current frame image according to the frame position of the current frame image in its group to obtain the pose of the specific object in the current frame image Recognition result; according to the gesture recognition result of the specific object, determine the corresponding command to be responded, so that the terminal device where the image acquisition device is located responds to the command to be responded to. According to the different frame positions of the current frame image in the group to which it belongs, the present invention performs posture recognition on the frame image correspondingly, calculates the posture recognition result of the specific object, and conveniently determines the command to be responded according to the obtained posture recognition result, so as to identify the specific object. respond to the object's pose.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a video data-based real-time posture recognition method, device, and computing equipment. Background technique [0002] Recognizing the posture of the character can clearly understand the current action of the character, and then perform the corresponding follow-up operations according to the action. There are two main methods for gesture recognition. One is to use external devices, such as wearable sensors or handles, which are precise and direct, but restrict body movements and are highly dependent on external devices. The other is based on extracting the key point information of each joint of the human body, such as the hand, elbow, shoulder and other joints, and performing gesture recognition by calculating the intersection or parallel of the key point position information of each joint. [0003] In the prior art, when gesture recognition is performed on video data, each fram...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/20G06F18/214
Inventor 董健
Owner BEIJING QIHOO TECH CO LTD
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