Stadium crowd monitoring method based on intelligent video identification technology

Abstract

The invention belongs to the technical field of video monitoring, and discloses a stadium crowd monitoring method based on an intelligent video identification technology. The stadium crowd monitoringmethod adopts a video acquisition module, an image processing module, a target processing module, a server module and a crowd density calculation module. According to the stadium crowd monitoring method, the image processing module adopts an improved self-adaptive Gaussian mixture model for background modeling, segments foreground pixels to adapt to variation of ambient light rays through statistical discrepancy between pixels corresponding to all frames in a video within a period of time and an established background model; meanwhile, the crowd density calculation module determines a currentcrowd density sampling value, and analyzes the current crowd density in different ways, so as to obtain more precise crowd density information, thereby avoiding the situation of decrease in density analysis precision caused by improper analysis methods, and improving the precision of crowd density acquisition.

Description

technical field [0001] The invention belongs to the technical field of video monitoring, and in particular relates to a crowd monitoring method in stadiums based on intelligent video recognition technology. Background technique [0002] Intelligent video recognition technology uses computer image vision analysis technology to analyze and track objects appearing in the camera scene by separating the background and objects in the scene. According to the video content analysis function, users can preset different alarm rules in different camera scenes. Once the target violates the predefined rules in the scene, the system will automatically send out an alarm, and the monitoring workstation will automatically pop up the alarm information and When the warning sound is issued, the user can click on the alarm information to realize the reorganization of the alarm scene and take relevant measures. However, the video images acquired by crowd monitoring in existing sports venues will...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the video images acquired by crowd monitoring in the existing sports venues will be affected by various factors such as weather, light, environment, etc., and the accuracy of the information provided by the images themselves will also change. The recognition accuracy is low; at the same time, the crowd density is obtained manually, which is subjective, cannot be quantitatively analyzed, and the obtained data is inaccurate

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