Large scale crowd video analysis system and method thereof

A video analytics, large-scale technique for computer vision

Active Publication Date: 2016-03-30
SHENZHEN SENSETIME TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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 mo

Method used

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  • Large scale crowd video analysis system and method thereof
  • Large scale crowd video analysis system and method thereof
  • Large scale crowd video analysis system and method thereof

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Experimental program
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Embodiment Construction

[0016] In a basic embodiment, a large-scale crowd video analysis system is provided, 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 judgment module; wherein:

[0017] The crowd density calculation module is used to obtain the number of people within the field of view covered by a certain frame of image in the surveillance video image data;

[0018] The crowd foreground segmentation module is used to obtain the crowd area in the foreground after the foreground and background are segmented within the field of view covered by a certain frame image in the monitoring video image data;

[0019] The crowd tracking module is used to obtain the movement direction and speed of the crowd within the field of view covered by a certain frame image in the monitoring video image data;

[0020] The crowd state analysis module performs processing and analysis based on the obtain...

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PUM

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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 ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/20G06V20/42
Inventor 彭彬绪张帆杨延生佘忠华张广程郝景山
Owner SHENZHEN SENSETIME TECH CO LTD
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