Abstract：According to the application scenarios of automatic counting of classrooms, the image processing algorithms based on human contour features and motion detection are studied. The differences in classroom video images, threshold processing, edge extraction, morphological operations, sensitive area identification, human contour feature extraction, etc. The processing steps are used to achieve the result of counting the people number of classroom. At the same time, the layout calculation method of the camera is given in combination with the layout of different classrooms, so as to obtain more effective algorithm effects.The experimental results show that the accuracy of the algorithm is 95.4% in a classroom of 40 people by reasonably arranging the camera positions, which can effectively assist the resource allocation of self-study room.
杨璐. 一种基于人体轮廓特征的教室人数统计算法[J]. 计量学报, 2021, 42(2): 178-183.
YANG Lu. A Classroom Population Statistics Algorithm Based on Human Contour Features. Acta Metrologica Sinica, 2021, 42(2): 178-183.
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2021, Vol. 42 
