Method and apparatus for crowd behavior analysis in video monitoring

A technology of video monitoring and behavior analysis, which is applied in closed-circuit television systems, instruments, biological neural network models, etc., and can solve problems such as inability to accurately obtain crowd characteristic information and crowd crowding

Inactive Publication Date: 2015-12-16
CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The reason is that when video surveillance is recorded, different degrees of crowd crowding will occur in different time periods with different time periods. The existing monitoring methods are not su

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  • Method and apparatus for crowd behavior analysis in video monitoring
  • Method and apparatus for crowd behavior analysis in video monitoring
  • Method and apparatus for crowd behavior analysis in video monitoring

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Embodiment Construction

[0036] The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other under the condition of no conflict.

[0037] It should be noted that the drawings provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic way, so the drawings only show the components related to the present invention rather than the number, shape and number of compo...

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Abstract

The invention is suitable for video monitoring technologies and relates to a method and an apparatus for crowd behavior analysis in video monitoring. The method comprises: obtaining a video stream and dividing each frame of image in the video stream into image sub-blocks with different perspective degrees by taking human height as a size reference by row; extracting deep neural network features in the image sub-blocks; classifying and optimizing the deep neural network features, obtaining a corresponding vector feature set, establishing SVR mathematical models of different kernel functions according to the vector feature set, and making statistics on the number of people in crowds with different density; and adopting a camera calibration method for obtaining coordinate vectors of the deep neural network features, comparing displacements of the deep neural network features of the two continuous frames of image sub-blocks, and calculating a moving direction and a moving speed of the crowd according to the displacement. According to the method and the apparatus, the crowd in the video monitoring is tracked and analyzed to obtain feature information, such as the moving speed, the moving direction, the number of people and the like, of the crowd, the feature information and historical data are analyzed and compared, a state of the crowd is judged, and an alarm is given for an abnormal event.

Description

technical field [0001] The invention belongs to the technical field of video surveillance, and in particular relates to a method and device for analyzing crowd behavior in video surveillance. Background technique [0002] Video surveillance is an important part of the security system, and it is a comprehensive system with strong defense capabilities. Video surveillance is widely used in many occasions because of its intuitive, accurate, timely and rich information content. In recent years, with the rapid development of computer, network and image processing and transmission technology, video surveillance technology has also made great progress. It is of great significance to analyze the "overall characteristics of the crowd" through video surveillance, realize real-time monitoring and early warning of "abnormal crowd gathering" and "special crowd characteristics", and timely detect crowd congestion and prevent mass events and illegal assemblies. It is an important means to...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/02H04N7/18
CPCH04N7/18G06N3/02G06V20/53
Inventor 匡金骏颜卓周曦王秀英贺光明周祥东石宇易敏鲁江坤
Owner CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
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