Extraction method for dynamic crowd gathering characteristics

A feature extraction, crowd technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the large false alarm rate and missed alarm rate, the lack of research on early warning of mass events, and the failure to fully consider the outside of crowd gathering. characteristics and other issues, to achieve the effect of widely popularizing application prospects

Active Publication Date: 2014-06-04
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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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 su

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  • Extraction method for dynamic crowd gathering characteristics
  • Extraction method for dynamic crowd gathering characteristics
  • Extraction method for dynamic crowd gathering characteristics

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Embodiment Construction

[0024] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0025] figure 1 A preferred embodiment of the crowd dynamic aggregation feature extraction method of the present invention is shown, as figure 1 As shown, the method includes the following steps:

[0026] Step A, segment the target video to obtain a group of continuous image frames:

[0027] Carry out video segmentation on the surveillance video of the target place (such as terminal building, station, etc.), and convert the video into a series of continuous image frames with fixed time intervals.

[0028] Step B. Perform foreground detection on each image frame to obtain a binarized foreground detection result:

[0029] The foreground detection in this step can adopt various existing foreground detection methods, selects the code book model based on YCbCr color space to carry out foreground detection in the present embodiment, and its specific conten...

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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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Application Information

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IPC IPC(8): G06K9/46G06K9/62
Inventor 邵荃罗雄周航唐志星韩松臣
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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