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Method for judging crowd density and number of people based on fish eye camera

A fisheye camera and crowd density technology, applied in the field of image processing, can solve problems such as image distortion, low computational complexity, and inconsistent human body size

Inactive Publication Date: 2013-04-17
武汉经纬视通科技股份有限公司
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  • Description
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Problems solved by technology

[0009] The technical problem to be solved by the present invention is to provide a method that not only solves the inconsistency of human body size in the image and the distortion of the image, but also effectively solves the problem of mutual occlusion of crowd objects, and has low computational complexity and good performance. A real-time and practical method for judging crowd density and number of people

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  • Method for judging crowd density and number of people based on fish eye camera
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  • Method for judging crowd density and number of people based on fish eye camera

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Embodiment Construction

[0064] The present invention will be described in detail below with reference to the embodiments shown in the drawings, examples of which are shown in the drawings, wherein the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0065] This embodiment is mainly aimed at crowd monitoring in an indoor scene, and obtains information about crowd density and number of people. Such as figure 1 As shown, its specific method process includes the following steps:

[0066] (1) Acquire the background image: when the number of people in the monitored area of ​​interest is zero, the background image is created using a fisheye camera and using a mixed Gaussian background modeling method;

[0067] (2) Obtain crowd monitoring ...

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Abstract

The invention provides a method for judging crowd density and number of people based on a fish eye camera. The method comprises the following steps of: (1) acquiring a background image; (2) acquiring a crowd monitoring video image; (3) preprocessing the crowd monitoring video image; (4) performing foreground segmentation; (5) extracting a crowd target characteristic; (6) grading the crowd density; and (7) counting the people. The method aims to expand the monitoring range; the problem of inconsistency in sizes of human bodies and the problem of mutual sheltering of the human bodies in the high-density crowd existing in the conventional crowd monitoring method are solved; and the method has good real-time property and can be applied to a real-time crowd monitoring system.

Description

[0001] technical field [0002] The invention belongs to the field of image processing, in particular to a method for judging crowd density and number of people in an image. [0003] Background technique [0004] In recent years, with the rapid increase of urban population density, many public places such as subway stations and shopping malls often experience short-term peak flow of people. Crowded crowds are likely to cause various emergencies, and there are serious safety hazards. Therefore, intelligent crowd monitoring has become an urgent problem in the field of public security. At present, the main way to solve the crowding problem is to implement effective evacuation and diversion measures when the crowd is dense. However, if the on-the-job personnel are arranged to evacuate the flow regardless of whether the crowd is dense or not, it will cause a serious waste of personnel. Therefore, when performing crowd management, it is an extremely important task to estim...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66G06K9/46
Inventor 郑宏胡学敏
Owner 武汉经纬视通科技股份有限公司
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