A Crowd Counting Method Based on Improved lbp Operator

A technology of crowd counting and operators, which is applied in the field of crowd counting of LBP operators, can solve problems such as impact, and achieve good accuracy and good real-time effects

Active Publication Date: 2019-06-04
SUN YAT SEN UNIV +2
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Problems solved by technology

right , yields 2 P A binary mode, the mode type increases at an exponential rate with the increase of P, which will have a very serious impact on applications such as image processing with such a large amount of information and such frequent access

Method used

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  • A Crowd Counting Method Based on Improved lbp Operator
  • A Crowd Counting Method Based on Improved lbp Operator
  • A Crowd Counting Method Based on Improved lbp Operator

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Embodiment 1

[0069] like figure 1 As shown, a crowd counting method based on the improved LBP operator, including the following steps:

[0070] S1: collecting a training image set for regression model training;

[0071] S2: Extract the ASLBP (rotation-invariant local binary pattern operator of adaptive scale) feature vector of each image in the training image set;

[0072] The ASLBP feature vector is the ASLBP operator of the rotation-invariant equivalent mode based on the adaptive scale of the circular neighborhood:

[0073] The rotation invariant equivalent mode LBP operator is to add the rotation invariant property to the equivalent mode LBP operator. Therefore, given its definition:

[0074]

[0075] in, Represents a rotation invariant equivalent operator, ri represents rotation invariant, s(x) is a symbolic function, g i is the gray value of the i+1 sampling point, g c is the gray value of the central point of the sampling area, is the judgment formula of the equivalence m...

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Abstract

The invention discloses a crowd counting method based on an improved LBP operator, which adopts an ASLBP operator based on a rotation-invariant equivalent mode of an adaptive scale in a circular field to describe local texture features of an image to realize crowd counting. Using the adaptive block scheme based on the perspective normalization graph, the LBP feature operator with rotation equivalent invariance is extracted for the block. In the feature extraction, the adaptive radius is determined by the degree of gray change, and the sampling frequency is determined according to the radius. Finally, the block The normalized feature descriptor, combined with the BOF feature bag model, forms the feature description vector of the scene; finally, the SVR support vector regression machine is used to perform regression learning on the mapping relationship between the features of the image and the number of people in the scene, and obtain The model predicts the number of people in an unknown image. The method has good real-time performance and good accuracy. It can be used in security monitoring and other fields.

Description

technical field [0001] The invention relates to the technical field of video crowd analysis, and more specifically, to a crowd counting method based on an improved LBP operator. Background technique [0002] In 2010, a stampede at the Love Parade music festival in Germany killed 21 people and injured more than 500. On December 31, 2015, a stampede occurred at the Bund in Huangpu District, Shanghai, China, during a spontaneous Chinese New Year celebration. Approximately 35 people were killed and 42 injured. Social security issues caused by population growth have received more and more attention. In the field of monitoring and security, it is becoming more and more important to grasp the dynamic information of crowds in public places in a timely manner and to carry out effective dredging and scheduling based on this information. Early video surveillance adopted the method of manual observation. This method is not only time-consuming, tedious, prone to errors and omissions, b...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/53G06V10/467G06V10/50
Inventor 纪庆革冷绵绵印鉴
Owner SUN YAT SEN UNIV
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