Large scale crowd video analysis system and method thereof

Abstract

The invention relates to a large scale crowd video analysis system and a method thereof. The system comprises a crowd density calculation module, a crowd prospect segmentation module, a crowd tracking module, a crowd state analysis module and an event determination module. The crowd density calculation module, the crowd prospect segmentation module and the crowd tracking module process video image data and then the crowd number, a crowd area, a crowd motion direction and a speed are acquired respectively. The crowd state analysis module carries out processing analysis based on the acquired crowd number, the crowd area, the crowd motion direction and the speed and sends an analysis result to the event determination module. The event determination module is used for determining whether a crowd event is abnormal. The crowd event means that the crowd reaching a certain scale carries out one group characteristic behavior in a monitoring area. By using the system and the method, monitoring personnel can complete intelligent trend prediction, characteristic event positioning and other tasks; and effective help is provided for prevention of emergency, suspicious clue tracking 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 stampedes. 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 ...

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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