Multi-student standing and sitting detection method based on optical flow and k-means clustering

Abstract

The invention discloses a multi-student standing and sitting detection method based on an optical flow and k-means clustering, and the method comprises the steps: collecting image information of a student region; carrying out the moving object region detection for the student region, detecting a moving region in an image through an inter-frame difference method, and marking a moving object region template through a connection domain marking algorithm; enabling the moving object region template to be superposed with an original image, carrying out the optical flow calculation of the moving object region, and obtaining a motion vector of a feature point; enabling the optical flow to be divided into an upward group A and a downward B, and carrying out the clustering; determining that the object performs standing and sitting motions if the number of continuous appearing times of the same central point reaches a certain value, and ending the detection at this moment. Compared with the prior art, the method can achieve the detection of the standing and sitting behaviors of the students through one camera, and the equipment is simple and easy to install. The method is suitable for various types of environments. The method is high in detection accuracy, is better in instantaneity, and can achieve the class demands. The method can achieve the detection of simultaneous standing condition of a plurality of students, and is more practical.

Description

technical field [0001] The invention relates to the technical field of information-based teaching, in particular to a method for detecting students sitting up in an intelligent teaching recording and broadcasting system. Background technique [0002] The related background technology of the present invention mainly contains: [0003] 1. By installing a sensor device or an infrared projection sensing device to detect students' sitting ups. This approach typically requires retrofitting student seating or installing a large number of sensors on classroom walls, which is expensive and difficult to maintain. [0004] 2. The method of judging students' sitting-ups by image processing on the pictures taken by cameras is generally to use multiple cameras (usually at least two cameras) to analyze and judge simultaneously. [0005] For example, according to the records of Chinese patent 201110032341.3 "A Method for Detecting Students Standing Up in a Teaching Intelligent Recording a...

AI Technical Summary

Problems solved by technology

Although this can finally achieve the purpose of detection, but the cost is high, the installation and wiring are complicated, and the camera needs to be installed on one side of the classroom, which is close to the height of the students standing up, which is not beautiful and is easily damaged by students

And these methods are mostly aimed at the situation of a student standing up, when there are many students sitting up, it will not be able to judge well

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