Video-processing-based crowd density and distribution estimation method

A technology of crowd density and video processing, which is applied in the field of estimation of large-scale sports crowds, can solve the problems of large errors in estimation of low- and medium-density crowds, large number of features, and large amount of algorithm calculations, etc., to achieve small calculations and high accuracy , high efficiency effect

Inactive Publication Date: 2012-06-20
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

The density estimation method based on texture analysis can solve the problem of high-density crowd density, but the algorithm has a large amount of calculation and a large number of features, and when the background is complex, the estimation error for medium and low-density crowds is large

Method used

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  • Video-processing-based crowd density and distribution estimation method
  • Video-processing-based crowd density and distribution estimation method
  • Video-processing-based crowd density and distribution estimation method

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Embodiment

[0031] The image frames used in this implementation come from the crowd density and flow estimation sequence in the dataset PETS2009 (IEEE International Workshop on Performance Evaluation of Tracking and Surveillance).

[0032] The method for estimating crowd density and distribution based on spatio-temporal local binary patterns involved in this embodiment, the overall process is as follows figure 1 shown, including the following specific steps:

[0033] The first step: use the three-dimensional Hessian matrix to detect sparse feature points, such as figure 2 shown.

[0034] H ( I ) = ∂ 2 I ∂ x 2 ...

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Abstract

The invention discloses a video-processing-based crowd density and distribution estimation method, which belongs to the technical field of computer video processing and is particularly suitable for a flowing crowd with a high/medium density grade. The method comprises the following steps of: detecting sparse characteristic points by utilizing a three-dimensional Hessian matrix; performing dynamic texture extraction based on a time-space local binary pattern; performing spectral analysis based on Fourier transform; estimating overall crowd density based on a support vector machine; and mapping a frequency value to a jet color map, and performing Gaussian smoothing to obtain displayed spectrum-based local crowd density. Sparse time-space local binary dynamic texture characteristics of an image are extracted, and video time-space characteristics are extracted based on the symmetry of a time-space domain, so that robustness is improved, a calculated amount is decreased, and the method is suitable for the estimation of a large-scale moving crowd.

Description

technical field [0001] The invention relates to the technical field of computer video processing, in particular to a method for estimating crowd density and distribution based on video processing, which is especially suitable for estimating large-scale sports crowds. Background technique [0002] With the continuous increase of population and the advancement of large-scale urbanization, it is not uncommon for casualties caused by excessive crowd density. The occurrence of a series of major accidents makes how to effectively manage the crowd in some places to ensure the safety of the crowd has become an urgent problem to be solved. For example: In 2004, crowds clashed and rioted during the "soul-breaking" ceremony held in Mina, near the holy city of Mecca, resulting in at least 244 people being trampled to death; the stampede in the 2009 World Cup qualifiers, etc. Traditional crowd density estimation is manually monitored through closed-circuit television monitoring the scen...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06M11/00G06K9/66
Inventor 杨华曹艺华苏航董莉莉
Owner SHANGHAI JIAO TONG UNIV
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