Population gathering and dispersing detection method and device based on corner clustering weighted area

A technology of corner detection and clustering algorithm, which is applied in the direction of instruments, calculations, character and pattern recognition, etc., can solve the problem that the accuracy of the number of people cannot be guaranteed, and achieve simple and effective decision-making, increase accuracy, and avoid inaccuracy Effect

Active Publication Date: 2014-03-26
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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Problems solved by technology

However, this kind of system is easily affected by factors such as crowd occlusion in the segmentation of crowd individuals, and cannot guarantee the accuracy of crowd

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  • Population gathering and dispersing detection method and device based on corner clustering weighted area
  • Population gathering and dispersing detection method and device based on corner clustering weighted area
  • Population gathering and dispersing detection method and device based on corner clustering weighted area

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0027] The clustering corner point weighted area-based cluster detection method of the present invention comprises the following steps:

[0028] A. Obtain video frame images through the camera;

[0029] B. Calculate the crowd foreground area through the mixed Gaussian background modeling method;

[0030] C. Harris corner detection; In view of the fact that the Harris corner detection algorithm is simple to calculate, and the extracted corner features are evenly distributed and reasonable, the algorithm uses the Harris corner detection algorithm proposed by C.Harris and M.Stephens.

[0031] D. Use the crowd foreground as a mask operator to calculate the crowd corners in the image; use the crowd foreground area as a mask operator to retain the corners in the foreground area, that is, the crowd corners; filter out the corners in the background ar...

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Abstract

The invention provides a population gathering and dispersing detection method and device based on a corner clustering weighted area. The method comprises the first step of obtaining a video frame image, the second step of figuring out the foreground region of a population through the mixed Gaussian background modeling method, the third step of calculating corners of the image through the Harris corner detection algorithm, the fourth step of figuring out corners of a population region in the image by using the population foreground as a mask operator, the fifth step of performing clustering on the corners by using DBSCAN, the sixth step of calculating the corner area by using the weighting method, and the seventh step of calculating the slope of the changing curve of the corner area and performing incident recognition in combination with the number of class clusters. According to the method, the corners are used for describing population distribution, so that the inaccuracy of individual segmentation of the population is avoided; by performing clustering on the corners of the population, the overall density degree of the population in the current scene can analyzed according to the number of the class clusters of the population. Event decision is performed by calculating the slope of the changing curve of the corner area, so that the decision is simple and valid. In the process of the event decision, the changes of the number of the class clusters are further added for an auxiliary, and therefore the accuracy of a decision result is improved.

Description

technical field [0001] The invention belongs to the field of crowd detection, and relates to a method and a device for detecting crowd gathering and scattering. Background technique [0002] At present, existing crowd behavior analysis systems mainly perform population counting or density counting. The few crowd detection systems also make decisions based on counting the number of people or density. However, this kind of system is easily affected by factors such as crowd occlusion when segmenting crowd individuals, and cannot guarantee the accuracy of crowd number calculation. Moreover, general people counting systems all need to have a training classifier process, which brings a lot of inconvenience to practical applications. Contents of the invention [0003] In order to solve the inaccuracy of group gathering and dispersal detection through population counting in the prior art, it is also unable to express the changing trend of the process of crowd gathering and the p...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 徐勇何丽文
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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