Detection method, device, electronic equipment and storage medium for key points of human skeleton
A detection method and key point technology, applied in the field of computer software applications, can solve problems such as difficult application of embedded mobile devices, slow algorithm processing speed, etc., to achieve the effect of reducing the amount of calculation, increasing the calculation speed, and improving the accuracy
Active Publication Date: 2020-10-30
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD +1
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Problems solved by technology
[0003] In related technologies, the detection method of key points of human skeleton is based on the deformation or improvement of the Stacked Hourglass algorithm, but this algorithm has the problem of slow processing speed, which is difficult to apply to embedded mobile devices
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[0066] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.
[0067] figure 1 It is a flow chart of a method for detecting key points of human bones according to an exemplary embodiment. Specific steps include:
[0068] S101. Acquire an original image, where the original image includes multiple key points of human bones.
[0069] In this step, the human body posture picture is extracted from video or image files as an RGB original image, which i...
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The present application relates to a detection method, device, electronic equipment and storage medium for key points of human bones. The detection method of the human skeleton key points includes: acquiring an original image, wherein the original image includes a plurality of human skeleton key points; establishing a plurality of hourglass networks; and in the plurality of hourglass networks, based on the plurality of human A plurality of weight values corresponding to the feature maps of the key points of the human skeleton, performing deep feature learning on the feature maps of the key points of the human skeleton, and obtaining a heat map of the key points of the human skeleton. Based on the Senet algorithm learning, the attention mechanism is introduced in the detection process of key points of human bones, which improves the accuracy of the learned feature maps of multiple key points of human bones, thereby improving the accuracy of detection of key points of human bones.
Description
technical field [0001] The application belongs to the field of computer software applications, in particular to a detection method, device, electronic equipment and storage medium for key points of human bones. Background technique [0002] The key points of human skeleton are very important for describing human posture and predicting human behavior. Therefore, the detection of key points of human skeleton is the basis of many computer vision tasks, such as action classification, abnormal behavior detection, and automatic driving. The detection of key points of human bones mainly detects some key points of the human body, such as joints, limbs, facial features, etc., and describes the posture information of the human body through key points. Due to the considerable flexibility of the human body, various postures and shapes can appear, and a slight change in any part of the human body will produce a new posture. At the same time, the visibility of its key points is greatly ...
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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/10G06F18/214G06V40/103G06V10/454G06V10/462G06V10/82G06N3/048G06N3/045G06N3/04G06N3/08G06F18/217
Inventor 谷继力张雷郑文
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD