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Method and system for judging crowd density in image

A crowd density and image technology, applied in the field of image processing, can solve problems such as high computational complexity and difficult implementation, and achieve the effect of improving prediction accuracy and reducing redundant classifiers

Active Publication Date: 2011-05-04
北京汉王智远科技有限公司
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Problems solved by technology

This method seems simple, but its computational complexity is relatively high, and it is difficult to implement. It is only suitable for small problems.

Method used

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  • Method and system for judging crowd density in image
  • Method and system for judging crowd density in image
  • Method and system for judging crowd density in image

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Embodiment Construction

[0040] In order to make the purpose, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0041] The basic scheme of the present invention is: based on the perspective model, divide the video image sample and the target video image area into image blocks, determine the combination form of the two classifiers, analyze and select the confidence training samples and train each two classifiers respectively, and use channel transmission The model gets the density level that maximizes the posterior probability.

[0042] The present invention provides an embodiment. refer to figure 1 , shows a flowchart of a method for estimating crowd density in a video image according to an embodiment of the present invention, which may specifically include the following steps.

[0043] Step 1: The block analysis unit selects a target area in t...

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Abstract

The invention provides a method and system for judging the crowd density in an image. The method comprises the following steps: 1. selecting a target region from a video image sample acquired in an image acquisition device by utilizing a block analysis unit, and carrying out block analysis of image blocks in the target region; 2. determining the composite form of two-classifiers by a coding unit;3. selecting a confidence training sample by a training unit, and respectively training each two-classifier; and 4. obtaining the crowd density grade category of the maximum posteriori probability through a decoding unit by means of a channel transmission model. The method can be suitable for obtaining the credible crowd density grade in different scenes and can provide the basis for crowd monitoring and safety guarantee of important regions.

Description

technical field [0001] The invention belongs to the field of image processing and relates to a method for judging crowd density in an image. Background technique [0002] Traditional crowd monitoring is realized by monitoring a certain scene through closed-circuit television, which requires users to make judgments on the scene images. This method is highly subjective and cannot be used for quantitative analysis. The development of modern digital image processing technology provides a way to solve the above problems. Applying technologies such as image processing, pattern recognition, and computer vision to crowd monitoring can achieve automatic, objective, and real-time analysis of crowds. [0003] The crowd density judgment in the image is based on computer vision and pattern recognition technology, and the quantitative level of the crowd density in the image is obtained by analyzing and calculating the surveillance image or video. Crowd density information is a powerful...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
Inventor 黄磊刘昌平麻文华
Owner 北京汉王智远科技有限公司
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