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Classroom scene-based student behavior recognition method and system

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

Active Publication Date: 2021-11-30
浙江蓝鸽科技有限公司
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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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  • Classroom scene-based student behavior recognition method and system
  • Classroom scene-based student behavior recognition method and system
  • Classroom scene-based student behavior recognition method and system

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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

This application relates to the field of teaching, and discloses a method and system for identifying student behavior based on classroom scenes. The method includes: obtaining a classroom video from a camera, the camera is used to capture a video of a student listening to a class from a frontal perspective; for the classroom video, extracting a frame of images at intervals of a preset number of frames for face recognition and human behavior recognition; Frame image, build a face frame according to the face recognition result and determine the corresponding identity mark, build a human body frame according to the human body behavior recognition result and determine the corresponding behavior mark, and match a unique body frame for each face frame, A matching result of the identity identifier and the behavior identifier is obtained. The implementation of the present application can accurately obtain the matching result of each student's identity and human behavior in the class, and realize the effect of monitoring the real-time behavior of each student in the class.

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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Patent Type & Authority Patents(China)
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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