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Crowd quantity estimating, local crowd clustering state and crowd running state detection method based on video stream

A technology of gathering state and video stream, applied in the field of image processing, can solve problems such as tracking, detection and segmentation failure, difficult to deal with occlusion problems, etc.

Active Publication Date: 2013-05-01
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But when the scene is complex, these methods are difficult to deal with the occlusion problem, and all tracking, detection and segmentation will fail

Method used

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  • Crowd quantity estimating, local crowd clustering state and crowd running state detection method based on video stream
  • Crowd quantity estimating, local crowd clustering state and crowd running state detection method based on video stream
  • Crowd quantity estimating, local crowd clustering state and crowd running state detection method based on video stream

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Embodiment Construction

[0070] like figure 1 As shown, it is a flow chart of a method for estimating the number of people based on a video stream, and the method includes the following steps:

[0071] In step S110, a foreground image is obtained by preprocessing the video stream, and the foreground image is a crowd image.

[0072] In the scene, the moving person is the foreground.

[0073] In this embodiment, the step of preprocessing the video stream to obtain the foreground image specifically includes:

[0074] Use the Gaussian mixture model to obtain the background of the currently processed frame;

[0075] The foreground image is obtained by subtracting the background from the current processing frame.

[0076] Among them, the Gaussian mixture model is a model formed by accurately quantifying things with Gaussian probability density functions and decomposing a thing into several basic Gaussian probability density functions.

[0077] In this embodiment, the step of preprocessing the video stre...

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Abstract

The invention provides a crowd quantity estimating method based on video stream. The method comprises the following steps of pre-treating video stream to obtain a foreground image, wherein the foreground image is a crowd image; calculating image potential energy Ep of the foreground image according to the following formula; in the formula, mij is pixel quality, and the value of mij is ranged from 0 to 1, if the pixel quality is 1, the pixel is the foreground, and if the pixel quality is 0, the pixel is the background; X is the width of the image, and the unit is pixel; Y is the height of the image, and the unit is pixel; gimg is a potential energy coefficient, gimg is a constant; yij is the y-axis coordinate of the pixel; H is the shortest distance of an object to a camera in a scene; and obtaining crowd estimated quantity by dividing the image potential energy Ep of the foreground image by average image potential energy of single pedestrian. In addition, the invention further provides a local crowd clustering state detection method and a crowd running state detection method.

Description

【Technical field】 [0001] The invention relates to image processing, in particular to a method for estimating the number of crowds based on a video stream, a local crowd gathering state and a crowd running state detection method. 【Background technique】 [0002] In recent years, thanks to the reduction in the price of video surveillance equipment, our cities have deployed thousands of cameras and generated vast amounts of video data; however, we do not have and cannot have enough people to handle the explosive growth video information. On the other hand, many effective new technologies have emerged and developed rapidly in the field of image and vision. Based on the above two reasons, researchers from all over the world have begun to use computer vision methods to analyze and process video data. [0003] Accurately estimating the number of crowds in public scenes is crucial for smart video applications. For example, accurate and timely information on the number of people in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06M11/00G06K9/62
Inventor 吴新宇熊国刚陈彦伦梁国远徐扬生
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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