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Method and device for obtaining posture classification model

A technology for classifying models and gestures, which is applied in the field of computer vision and can solve the problems of complex gesture recognition model recognition process, inability to guarantee the real-time performance of gesture recognition, and low recognition efficiency.

Pending Publication Date: 2020-03-03
ALIBABA GRP HLDG LTD
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Problems solved by technology

[0005] This application provides a method for obtaining a pose classification model to solve the existing problems that the real-time performance of pose recognition cannot be guaranteed on mobile devices, and the pose recognition model based on skeleton key points has a complex recognition process and low recognition efficiency

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  • Method and device for obtaining posture classification model
  • Method and device for obtaining posture classification model
  • Method and device for obtaining posture classification model

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Embodiment Construction

[0114] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0115] For existing gesture recognition scenarios such as somatosensory game input and body movement detection, in order to improve the recognition efficiency of gesture recognition models for target gestures and increase the application range of gesture recognition models, this application provides a method for obtaining gesture classification models, and the The gesture recognition device and electronic equipment corresponding to the method. The present application also provides a gesture recognition method, a gest...

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Abstract

The invention discloses a method and device for obtaining a posture classification model. The method comprises the following steps carrying out the posture recognition of an image accommodating a preset posture through a key point detection model, and obtaining a posture label of the image accommodating the preset posture; and performing model training according to the image accommodating the predetermined attitude and the attitude label to obtain an attitude classification model. The attitude classification model obtained by using the method is simpler in network structure and lower in requirement on calculation resources, and can be operated on mobile equipment in real time; the human body posture recognition process of the posture classification model is only a posture recognition matching process, human body skeleton key point detection is not needed, the recognition process is simple, the recognition efficiency is high, and the processing time of a single-frame image is shortened.

Description

technical field [0001] The present application relates to the field of computer vision, in particular to a method for obtaining a pose classification model. The present application also relates to a device for obtaining a posture classification model and an electronic device. The present application also relates to a gesture recognition method, a gesture recognition device and an electronic device. The present application further relates to a gesture recognition method, a gesture recognition device and an electronic device. Background technique [0002] With the advancement of technology and the development of the market, smart devices based on computer vision have been widely used, such as various monitoring devices and smart game devices. Such devices need to accurately analyze and identify the posture information of the target object. To achieve the purpose of monitoring the target object or interacting with the target object. [0003] At this stage, human body gesture...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06T7/215G06T7/246G06T7/254
CPCG06T7/246G06T7/254G06T7/215G06V40/20G06V10/44G06V10/462G06F18/24G06F18/214
Inventor 邵长东姚迪狄吴志华
Owner ALIBABA GRP HLDG LTD
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