Method and device for estimating crowd density in video image

A video image and crowd density technology, applied in the field of image processing, can solve the problems of limited texture feature discrimination and noise sensitivity, and achieve the effect of improving discrimination and robustness
CN101727573AActive Publication Date: 2010-06-09HANVON CORP
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
HANVON CORP
Publication Date
2010-06-09

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Abstract

The invention provides a method for estimating crowd density in a video image, which comprises the following steps: firstly, selecting an area of interest in a video image sample, and performing partitioning analysis of image blocks on the area of interest according to a perspective model; secondly, acquiring multi-scale grain characteristics by aiming at each image block; thirdly, performing cluster analysis on the video image sample to establish a classifier model of relation between the image block density level and the grain characteristics; fourthly, determining the density level of eachimage block in a target video image according to the classifier model; and fifthly, acquiring the overall density level of a target video area according to the density levels of all the image blocks in the area of interest. The method establishes a unified and definite partitioning standard of the image block density levels under the condition with different scenes, different camera angles and different positions, so the method can adapt to different scenes and provides a reliable density level estimation.
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Description

technical field

[0001] The invention relates to the field of image processing, in particular to a method for estimating crowd density in video images and a device for estimating crowd density in video images. Background technique

[0002] Crowd density estimation refers to the monitoring of crowds in a designated area with the help of digital image processing technology to obtain quantified crowd density levels. According to the obtained crowd density, we can roughly know the state of the crowd as a whole, so as to make judgments on the behavior of the crowd. 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, ...

Claims

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