Student state classroom monitoring method based on edge intelligence
A classroom and student technology, applied in the field of computer vision, can solve problems such as limited representation ability
Active Publication Date: 2021-01-29
HOHAI UNIV
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Problems solved by technology
The previous human pose estimation uses local detectors, so it is modeled locally for joints. This method can only model a subset of all relationships between body joint points, and the representation ability is very good. limited
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[0049] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0050] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiment...
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The invention discloses a student state classroom monitoring method based on edge intelligence, and the method comprises the steps of enabling an image data collection module to collect M classroom pictures, enabling a face information detection module to extract and obtain the detection face features of each face when a face image is detected in the M classroom pictures; comparing and matching the detected face features with reference face information corresponding to the class in a preset face feature library to obtain class arrival information of the class; enabling the human body posture detection module to sample a pre-trained detection network to detect a confidence map of each human body skeleton joint in the M classroom photos, and predict the connection degree of each human body skeleton joint; determining each human body posture skeleton according to each confidence map and each connection degree, and calculating classroom state information of each student according to each human body posture skeleton; and enabling the comprehensive state evaluation module to monitor the classroom state according to the class arrival information and the classroom state information so as to realize comprehensive monitoring of the state of each student in the corresponding classroom.
Description
technical field [0001] The invention relates to the technical field of computer vision, in particular to a classroom monitoring method for student status based on edge intelligence. Background technique [0002] In recent years, human pose estimation has become a popular research direction in the field of computer vision. It is defined as the research on the human body posture algorithm and system based on the image-based positioning of the key points of the human body and the construction of the human skeleton structure. The detection of human body key points needs to be performed under certain difficult conditions, such as when facing occlusion and complex multi-person environments. It can accurately locate the key points of the human body. It can solve many tasks in the fields of human gesture recognition, behavior recognition, and human body tracking, and it also has broad development prospects in the fields of rehabilitation medicine, video surveillance, and advanced h...
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IPC IPC(8): G06K9/00G06N3/04G06N3/08G06Q10/06G06Q50/20
CPCG06N3/08G06Q10/06393G06Q50/205G06V40/23G06V40/161G06V40/168G06V40/103G06V40/172G06N3/045
Inventor 刘凡崔闰杰王瑞琳许峰
Owner HOHAI UNIV