Extraction method for dynamic crowd gathering characteristics

Abstract

The invention discloses an extraction method for dynamic crowd gathering characteristics and belongs to the technical field of intelligent monitoring of computers. According to the extraction method, a nuclear density spatial clustering algorithm is introduced into the 'external characteristics analysis process of crowd gathering', so that extraction and quantitative study and judgment of the crowd gathering characteristics for a mass disturbance are effectively achieved. As the crowd movement mode is recognized by the adoption of the method of crowd barycenter motion tracking, the current situation that at present, mass disturbance early warning is performed only according to crowd density grades, other external characteristics, such as the crowd gathering shape, the crowd movement speed and the crowd growth rate, of crowd gathering fail to be fully considered, and the false alarm rate and the missed alarm rate are high is changed. The extraction method can be applied to other safety-sensitive crowded places, thereby having broad popularization and application prospects.

Description

technical field [0001] The invention relates to a method for extracting crowd dynamic aggregation features, in particular to a method for obtaining crowd dynamic aggregation features by using monitoring video, and belongs to the technical field of computer intelligent monitoring. Background technique [0002] In recent years, with the increase of my country's civil aviation traffic, mass incidents at airports have been increasing. According to relevant data, at present, more than 10 million passengers in my country experience flight delays every year, and the incidents of conflicts between passengers and airlines due to flight delays are on the rise. Taking Shenzhen Airport as an example, there were 33 mass incidents involving air passengers in 2002, 41 in 2005, and 94 in 2007. The impact cannot be underestimated. If we can effectively monitor the interior of the airport and give early warning to groups of people who may have mass incidents, emergency personnel will take co...

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Problems solved by technology

[0004] Based on previous studies, it is found that the development of video surveillance system is relatively mature, and it has been applied to many industries, but the research on early warning of mass incidents is relatively lacking, and the research on early warning of mass incidents based on video surveillance is mainly based on the density of the crowd. Failure to fully consider other external characteristics of crowd gathering, such as crowd gathering shape, crowd moving speed, crowd growth rate, etc., so the current early warning methods usually have a large false alarm rate and missed alarm rate

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