A large-scale crowd video analysis system and method

Abstract

The present disclosure relates to a large-scale crowd video analysis system and method. The system includes a crowd density calculation module, a crowd foreground segmentation module, a crowd tracking module, a crowd state analysis module, and an event determination module; wherein: the crowd density calculation module, The crowd foreground segmentation module and the crowd tracking module process the video image data to obtain the crowd quantity, crowd area, crowd movement direction and speed, respectively; Process and analyze, and send the analysis results to the event determination module; the event determination module is used to determine whether the crowd event is abnormal; the crowd event refers to a certain group characteristic behavior of a crowd of a certain size in the monitoring area. The present disclosure can help monitoring personnel to complete tasks such as intelligent trend prediction and feature event location, and provide effective assistance for emergency event prevention, suspicious clue tracing, and the like.

Description

technical field [0001] The present disclosure relates to the field of computer vision, in particular to a large-scale crowd video analysis system and method. Background technique [0002] In places where crowds are relatively dense, such as railway stations, bus stations, movie theaters, large supermarkets, etc., casualties often occur due to crowd stampede. Although the existing video surveillance systems in our country have a certain scale, these video surveillance systems play an important role in responding to public security incidents and public security in a timely manner, and various video surveillance systems are widely used in various scenarios. However, most monitoring now relies on manual monitoring. It is urgent to explore and study the use of intelligent video surveillance for security, to help monitoring personnel complete tasks such as intelligent trend prediction and characteristic event location, and to provide effective assistance for emergency prevention a...

AI Technical Summary

Problems solved by technology

Although the existing video surveillance systems in our country have a certain scale, these video surveillance systems play an important role in responding to public security incidents and public security in a timely manner, and various video surveillance systems are widely used in various scenarios. However, most monitoring now relies on manual monitoring, and it is urgent to explore and research intelligent video monitoring for security, to help monitors complete tasks such as intelligent trend prediction and characteristic event location, and to provide effective assistance for emergency prevention and suspicious clue tracing.

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