Key point detection method and device

A detection method and technology of key points, applied in the field of image processing, can solve the problems of difficulty in considering complex scenes, difficult to use real-time scenes, and poor data processing speed, so as to improve the data processing speed, reduce the difficulty of network training, and improve the running speed. Effect

Active Publication Date: 2019-04-09
深圳美图创新科技有限公司
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However, due to the rich and varied postures of the human body, and they are easily blocked by background objects and their own clothes, whether it is from the bottom up or the top down, a relatively large neural network is often required to complete the body detection task. S

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  • Key point detection method and device
  • Key point detection method and device

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[0047]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0048] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art wit...

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Abstract

The embodiment of the invention provides a key point detection method and device. The method comprises the steps: enabling a current frame image in video information to serve as the input of a human body detector, so as to calculate and output a human body detection frame vector which is used for cutting the current frame image, and an attitude probability value in the current frame image; Clipping the current frame image according to the human body detection frame to obtain a human body image block; And taking the attitude probability value and the human body image block as input of a featuredetector to calculate and output key points in the current frame of image. The method can effectively solve the problem that human body feature detection is difficult to execute in real time in the mobile terminal, reduces the network complexity in the key point detection process, and provides the detection precision.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a key point detection method and device. Background technique [0002] In the existing human body key point detection methods based on deep learning, there are mainly two model architecture design methods: top-down and bottom-up. Among them, the top-down method usually first uses the human body detection network to obtain the detection frame of the person, and then uses a feature detection network to obtain the key points of each limb of the person in the frame; while the bottom-up method first detects all the limbs in the image Key points, and then connect these points into different people through certain connection rules. However, due to the rich and varied postures of the human body, and they are easily blocked by background objects and their own clothes, whether it is from the bottom up or the top down, a relatively large neural network is often required to...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/103G06F18/214
Inventor 杨思远曲晓超姜浩闫帅张伟
Owner 深圳美图创新科技有限公司
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