Classroom behavior identification and classification method and system based on improved Densenet model
A technology for recognition, classification, and behavior, applied in character and pattern recognition, neural learning methods, biological neural network models, etc., can solve problems such as difficult feature extraction, complex background, and large number of people, so as to achieve efficient feature extraction and improve feature expression capabilities Effect
Pending Publication Date: 2022-05-24
ANHUI NORMAL UNIV
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[0004] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a classroom behavior recognition and classification method and system based on the improved Densenet model, which is used to solve certain limitations in the prior art. For classroom behavior images , the background in the image is more complex, there are more people, and the problem of feature extraction is more difficult
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[0034] The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other under the condition of no conflict.
[0035] It should be noted that the diagrams provided in the following embodiments are only to illustrate the basic concept of the present invention in a schematic way, so the diagrams only show the components related to the present invention rather than the number, shape and number of components...
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The invention discloses a classroom behavior recognition and classification method and system based on an improved Densenet model, and the method comprises the steps: collecting classroom behavior image data through a camera, and constructing a classroom behavior database; the method comprises the following steps: adding a StemBlock module in a Densenet model to obtain a first Densenet model; adding a channel attention module in the first Densenet model to obtain a second Densenet model; and inputting behavior image data in the classroom behavior database into the improved network model, namely a second Densenet model, and identifying and classifying the classroom behaviors. According to the method, the existing data set is trained, the deep features of the image can be extracted, so that richer image information is obtained, and the StemBlock module is used, so that the feature expression capability of the network can be improved on the premise of not bringing too much calculation time consumption. A self-attention mechanism is added between two DenseBlocks, so that a network can pay more attention to important feature regions of images, important information of samples cannot be lost, feature extraction is more efficient, and then classification is better carried out.
Description
technical field [0001] The invention relates to the technical field of classroom behavior recognition and classification, in particular to a classroom behavior recognition and classification method and system based on an improved Densenet model. Background technique [0002] In classroom teaching activities, students are the main body of learning activities, and their behavior status is the direct reflection of teaching activities, and classroom behavior recognition has always been the focus and difficulty of research in the field of education. Therefore, the analysis of students' classroom behavior is not only an important part of teaching analysis, but also an important factor affecting students' learning and teachers' teaching efficiency. At present, higher requirements are put forward for the analysis of students' classroom behavior. Students' learning status is judged by their behavior, and then teaching feedback is formed. However, this method is time-consuming and lab...
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Login to View More IPC IPC(8): G06V20/52G06K9/62G06N3/04G06N3/08G06V10/764G06V10/82
CPCG06N3/08G06N3/045G06F18/241Y02D10/00
Inventor 邹孝龙丁绪星任悦悦钱强周学顶
Owner ANHUI NORMAL UNIV