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Student behavior identification method and system based on classroom scene

A recognition method and behavior technology, applied in the field of teaching, can solve the problems of low accuracy rate, inability to refine human behavior in the classroom accurately, low matching accuracy of human behavior recognition results and identity recognition results, to improve accuracy and save teaching The effect of high time and matching accuracy

Active Publication Date: 2020-08-07
浙江蓝鸽科技有限公司
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AI Technical Summary

Problems solved by technology

[0003] However, since the behavior recognition of students in classroom scenes belongs to the problem of multi-person gesture and behavior recognition in complex scenes, the accuracy of the current common recognition algorithms is low, which makes the matching accuracy of human behavior recognition results and identity recognition results low. Behavioral data is roughly aggregated as a whole, but it cannot accurately refine classroom human behavior to each corresponding student with a clear identity

Method used

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  • Student behavior identification method and system based on classroom scene
  • Student behavior identification method and system based on classroom scene
  • Student behavior identification method and system based on classroom scene

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Embodiment Construction

[0053] In the following description, many technical details are proposed in order to enable readers to better understand the application. However, those skilled in the art can understand that the technical solutions claimed in this application can be realized even without these technical details and various changes and modifications based on the following implementation modes.

[0054] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manner of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0055] The first implementation of the present application relates to a method for student behavior recognition based on classroom scenes, the process of which is as follows figure 1 As shown, the method includes the following steps:

[0056] In step 101, a classroom video is acquired from a camera, and the camera is used to capture a video of a student l...

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Abstract

The invention relates to the field of teaching, and discloses a student behavior identification method and system based on a classroom scene. The method comprises the steps of: obtaining classroom videos from a camera, and using the camera for shooting videos of front lesson viewing angles of students; for the classroom video, extracting a frame of image every other preset frame number to performface recognition and human body behavior recognition; and for each frame of recognized image, constructing a face frame according to a face recognition result and determining a corresponding identityidentifier, constructing a human body frame according to a human body behavior recognition result and determining a corresponding behavior identifier, and matching a unique human body frame for each face frame to obtain the matching result of the identity identifier and the behavior identifier. According to the embodiment of the invention, the matching result of the identity identifier and the human body behavior identifier of each student in the classroom can be accurately obtained, and the effect of monitoring the real-time behavior of each student in the classroom is achieved.

Description

technical field [0001] This application relates to the teaching field, in particular to the student behavior recognition technology based on classroom scenes. Background technique [0002] Human behavior recognition technology can make full use of equipment resources, extract data information related to students' listening status from existing classroom recordings and broadcast videos, and assist teachers in teaching management and teaching decision-making. [0003] However, since the behavior recognition of students in classroom scenes belongs to the problem of multi-person gesture and behavior recognition in complex scenes, the accuracy of the current common recognition algorithms is low, which makes the matching accuracy of human behavior recognition results and identity recognition results low. Behavioral data is roughly aggregated as a whole, but it cannot accurately refine classroom human behavior to each corresponding student with a clear identity. Contents of the i...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/20G06V20/41G06V20/52
Inventor 张新华李琳璐司俊陈诚
Owner 浙江蓝鸽科技有限公司
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