Human motion recognition method and device

A human body action recognition, human body technology, applied in the field of human action recognition methods and devices, to achieve the effect of improving recognition accuracy

Active Publication Date: 2018-12-11
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Usually, human actions are constrained by the coordination relationship between body structures and are continuous in time. Each action has contextual information in the time dimension, and it is difficult for action recognition technology based on static image classification and recognition to make use of this information.

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  • Human motion recognition method and device
  • Human motion recognition method and device

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Embodiment Construction

[0029] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0030] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0031] figure 1 An exemplary system architecture 100 to which the human body action recognition method or the human body action recognition device of the present application can be applied is shown.

[0032] Such as figure 1 As shown, the system architecture 100 may includ...

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Abstract

A human motion recognition method and device are disclosed in embodiments of the present application. A specific embodiment of the method includes: sampling an input video to be identified to obtain asequence of sampled image frames of the video to be identified; using the trained human key point detection model to detect the key points of the sampled image frame sequence, and obtaining the heatmap of the key point position of each sampled image frame in the sampled image frame sequence is obtained, wherein the heat map of the key point position of the human body is used to characterize theprobability characteristics of the preset key point position of the human body; inputting the thermal map of the key points in the frame sequence of the sampled images into the trained motion classification model for classification, and obtaining the human motion corresponding to the video to be recognized. The embodiment realizes the motion recognition by utilizing the coordination and cooperation relationship of the key points of the human body in the video to be recognized and the time continuous characteristic of the human body action, which is favorable for improving the recognition accuracy.

Description

technical field [0001] The embodiments of the present application relate to the field of computer technology, specifically to the field of image processing technology, and in particular to a method and device for human motion recognition. Background technique [0002] Image processing reflects the machine's understanding of space objects and is an important technology in artificial intelligence technology. At present, the processing methods based on static images have made great progress in tasks such as image classification and target tracking. However, for the processing of videos formed by continuous image frames, in addition to the information of the spatial dimension, the information of the temporal dimension is also involved. , the processing complexity is high. [0003] Image processing can be specifically applied in the understanding of human action behavior. In the human action recognition technology based on image processing technology, the human action images ar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06V10/764
CPCG06V40/20G06V20/46G06V40/23G06V20/44G06V20/52G06V10/454G06V10/82G06V10/764G06V20/49G06V40/103G06F18/214
Inventor 沈辉高原何栋梁刘霄李旭斌孙昊文石磊丁二锐
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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