Human body key point detection method and device, network equipment and storage medium
A detection method and key point technology, applied in the field of computer vision, can solve the problems of low accuracy, affecting the results of human body pose estimation, and output errors of human key points, so as to improve the detection accuracy.
Active Publication Date: 2020-10-30
MIGU CO LTD +1
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[0003]
However, the inventors found that there are at least the following problems in the prior art: the current detection method of key points of the human body is not high in accuracy, which may easily cause output errors of key points of the human body and affect the result of human body pose estimation
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[0024] In order to make the object, technical solution and advantages of the present invention clearer, various embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that, in each implementation manner of the present invention, many technical details are provided for readers to better understand the present application. However, even without these technical details and various changes and modifications based on the following implementation modes, the technical solution claimed in this application can also be realized.
[0025] The first embodiment of the present invention relates to a human body key point detection method, using the first sub-module of the key point detection model to extract the first feature map of the target human body image, wherein the first feature map includes multiple sets of features with different resolutions Figure; use the seco...
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The embodiment of the invention relates to the technical field of computer vision, and discloses a human body key point detection method, which is applied to a pre-trained key point detection model. The method comprises: extracting a first feature map of a target human body image; performing deconvolution of a plurality of layers according to the first feature map to obtain a second feature map, combining the first feature map and the third feature map of which the resolution is the same as that of the third feature map obtained by deconvolution of the previous layer during deconvolution of the next layer, and then performing deconvolution; and outputting a thermodynamic diagram of each human body key point of the target human body image according to the second feature diagram, and determining each human body key point of the target human body image according to the thermodynamic diagram. The embodiment of the invention further provides a human body key point detection device, networkequipment and a storage medium. According to the human body key point detection method and device, the network equipment and the storage medium provided by the embodiment of the invention, the detection precision of the human body key points and the accuracy of the human body posture estimation result can be improved.
Description
technical field [0001] The invention relates to the technical field of computer vision, in particular to a human body key point detection method, device, network equipment and storage medium. Background technique [0002] Human pose estimation is an important research direction in the field of computer vision, and is widely used in human activity analysis, human-computer interaction, and video surveillance. Human pose estimation refers to the estimation of human pose by locating key points of the human body (such as shoulders, elbows, wrists, knees, and ankles, etc.) in images or videos by computer algorithms. [0003] However, the inventors have found at least the following problems in the prior art: the accuracy of the current detection method for key points of the human body is not high, which may easily cause output errors of the key points of the human body and affect the result of human body pose estimation. Contents of the invention [0004] The purpose of the embo...
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Login to View More IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/20G06V40/10G06N3/045Y02T10/40
Inventor 胥杰马丹乔曦雨周凯文杜欧杰范亚平周丹雷林
Owner MIGU CO LTD