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Video image recognition method, system, and computer-readable storage medium

A technology of video image and recognition method, which is applied to computer components, calculation, neural learning methods, etc., can solve the problems of inaccurate recognition, achieve the effects of ensuring recognition accuracy, improving resource utilization efficiency, and reducing the amount of calculation

Active Publication Date: 2022-02-22
ALIBABA DAMO (HANGZHOU) TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Embodiments of the present application provide a video image recognition method, system, and computer-readable storage medium, so as to at least solve the technical problem of inaccurate recognition when identifying key points of target objects in video images in the prior art

Method used

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  • Video image recognition method, system, and computer-readable storage medium
  • Video image recognition method, system, and computer-readable storage medium
  • Video image recognition method, system, and computer-readable storage medium

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Embodiment 1

[0046] According to the embodiment of the present application, a method embodiment of a video image recognition method is also provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions , and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0047] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. figure 1 A block diagram of a hardware structure of a computer terminal (or mobile device) for realizing a video image recognition method is shown. Such as figure 1 As shown, the computer terminal 10 (or mobile device 10) may include one or more (shown by 102a, 102b, ..., 102n in the figure) processor 102 (the processor 102 m...

Embodiment 2

[0113] According to an embodiment of the present application, a video image recognition method is also provided, such as Figure 13 As shown, the method includes the following steps:

[0114] Step 1302, collect video images to be identified.

[0115] In step S1302, the method of collecting the video image to be identified can be captured by the camera of the terminal device, or can be captured by a third-party camera device, and sent to the terminal device through network transmission or other means.

[0116] Step 1304, determine the current frame image from the video image to be recognized, and display the object to be recognized in the current frame image.

[0117] Optionally, in step S1304, such as image 3 As shown, when a video image to be recognized is input into the terminal device, the video image to be recognized contains multiple frames of images, so that the terminal device can deframe the video image to be recognized according to time sequence, and obtain the vid...

Embodiment 3

[0136] According to an embodiment of the present application, there is also provided a video image recognition system, including: a processor; and a memory, connected to the processor, for providing the processor with instructions for processing the following processing steps: identify the The object to be identified, wherein the current frame image is an image included in the video image to be identified; the object to be identified is subjected to feature fusion to obtain at least one candidate key point of the object to be identified in the current frame image; based on the image to be identified in the previous frame At least one key point of the object is fused with at least one candidate key point to obtain at least one target key point of the object to be recognized in the current frame image; the pose of the object to be recognized is recognized according to the at least one target key point to obtain a recognition result.

[0137] In the embodiment of the present appli...

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Abstract

The application discloses a video image recognition method, system and computer-readable storage medium. Wherein, the method includes: identifying the object to be identified from the current frame image, wherein the current frame image is an image contained in the video image to be identified, and performing feature fusion on the object to be identified to obtain the object to be identified in the current frame image At least one candidate key point, so that at least one candidate key point is fused based on at least one key point of the object to be recognized in the previous frame image to obtain at least one target key point of the object to be recognized in the current frame image, and then based on at least one The key points of the target are recognized for the posture of the object to be recognized, and the recognition result is obtained. The present application solves the technical problem of inaccurate identification when identifying the key points of the target object in the video image in the prior art.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular, to a video image recognition method, system, and computer-readable storage medium. Background technique [0002] With the improvement of living standards, people pay more and more attention to physical health. Among them, home fitness has become a major trend for people to pursue a healthy lifestyle. Due to limited venues and time, online fitness methods have also been welcomed by the masses. . In the wave of national fitness, the application of artificial intelligence fitness technology for fitness has emerged, which facilitates people's assessment of their own health status. [0003] However, due to the flexibility of the human body itself and the high degree of freedom of the limbs, any small changes in the joints will generate a new posture, making the collection of human body data, key point detection and action recognition a very challenging problem. In addi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/40G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/253
Inventor 王雨桐黄明杨马菲莹谢宣松
Owner ALIBABA DAMO (HANGZHOU) TECH CO LTD
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