Image similarity calculating method suitable for human body re-recognition

A similarity calculation and re-identification technology, which is applied in the field of traffic management, can solve problems such as image similarity calculation methods that have not yet been proposed, achieve the effect of large practical promotion value, reasonable calculation method, and reduce similarity differences

Inactive Publication Date: 2016-05-04
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

[0008] However, in the above method, the matching between the eigenvector of the target human body image and multiple reference vectors in the database requires calculating the distance between the eigenvector and the reference vector (i.e. similarity calculation), and the traditional Euclidean distance is used to However, no new image similarity calculation method suitable for human body re-identification has been proposed

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  • Image similarity calculating method suitable for human body re-recognition
  • Image similarity calculating method suitable for human body re-recognition
  • Image similarity calculating method suitable for human body re-recognition

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[0032] The present invention will be further described below in conjunction with specific examples.

[0033] Such as figure 1 As shown, the picture similarity calculation method suitable for human body re-identification described in this embodiment, its specific conditions are as follows:

[0034] First, the picture A to be matched (see Figure 2a ) and B (see Figure 2b ) for image denoising; image denoising can use the common median filter method, the basic principle is to replace the value of a point in a digital image or digital sequence with the median value of each point in the neighborhood of the point, set f(x, y ) represents the gray value of the digital image pixel (x, y), and the median filter whose filtering window is R can be defined as:

[0035] f ^ ( x , y ) = M E D { ...

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Abstract

The invention discloses an image similarity calculating method suitable for human body re-recognition, and the method comprises the steps: 1), carrying out the de-noising of to-be-matched images A and B; 2), extracting characteristic vectors XA and XB of the images A and B after de-noising; 3), respectively carrying out the normalization of the characteristic vectors XA and XB; 4), calculating the SDD (significant difference distance) of the images A and B, and enabling the SDD to serve as a similarity measurement index. The method can effectively improve the reliability and robustness of image matching of human body re-recognition, and has a value of practical popularization.

Description

technical field [0001] The invention relates to the field of traffic management, in particular to a method for calculating image similarity suitable for human body re-identification. Background technique [0002] Video human body re-identification technology refers to identifying a specific human body that has appeared in the monitoring network in the surveillance video, that is, re-identifying the same human body in the monitoring network. [0003] With the development of social security and video capture technology, a large number of surveillance cameras are used in shopping malls, buildings, parks, schools, large squares, subway stations and other places where there are dense crowds and security incidents are likely to occur. It has been difficult for humans to cope with the massive growth of surveillance videos, so the need to use computers to re-identify human bodies in surveillance videos has arisen as the times require. At present, most of the methods and systems of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/56G06V10/50G06F18/22
Inventor 黄玲谭飞刚游峰
Owner SOUTH CHINA UNIV OF TECH
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