Method and device for characteristic analysis of human body based on shoes wearing footprint images

A feature analysis and footprint technology, applied in the field of personal feature analysis based on shoe footprint images, can solve problems such as human error

Active Publication Date: 2015-05-06
DALIAN EVERSPRY SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The type of shoes, the type of sole pattern, etc. will all affect the reflection of the basic characteristics of the barefoot that form the shoe footprint. At present, only a few experts in China can relatively accurately mark the reflected barefoot on the shoe footprint based on years of practical experience. and in the stage of personal characteristics analysis, manual measurement and qualitative inference are mainly used, so it is inevitable to introduce human error

Method used

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  • Method and device for characteristic analysis of human body based on shoes wearing footprint images
  • Method and device for characteristic analysis of human body based on shoes wearing footprint images
  • Method and device for characteristic analysis of human body based on shoes wearing footprint images

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] Embodiment one: a kind of method based on the personal characteristics analysis of shoe footprint image, comprises the following steps:

[0072] S1. Preprocessing of the shoe footprint image: use image filtering to remove the interference of the shoe sole pattern in the shoe footprint image, and the scale of the filter is determined adaptively according to the size of the pattern: make the shoe footprint image scale adaptively filter operation;

[0073] The formula for image filtering is as follows:

[0074] I=F*G

[0075] I(i,j)=Σ m Σ n F(i,j)G(i-m,j-n) (1)

[0076] Among them, * represents convolution, F represents the original shoe footprint image, G represents the filter, I represents the filtered footprint image, (i, j) represents the current pixel position, m and n represent the filter window in the x and y directions respectively the size of;

[0077] The filter is defined as

[0078] G ( u , ...

Embodiment 2

[0126] Embodiment two: the technical scheme is the same as embodiment one, and the difference is that step S4.4 is to establish a mathematical model of the aspect ratio of gender and footprint, and the aspect ratio of footprint is:

[0127] r=foot length / foot width; (8) The length-width ratios of male and female footprints obey normal distribution respectively and The overall G 3 , G 4 , where μ 3 , μ 4 G respectively 3 , G 4 the mean value of G respectively 3 , G 4 Variance; refer to the formula (6) to calculate the test footprint aspect ratio and the overall G 3 , G 4 Mahalanobis distance d 3 、d 4 , use the formula (9) to calculate and obtain the gender characteristics of the footprint owner;

[0128] r ∈ G 3 , d 3 ...

Embodiment 3

[0130] Embodiment 3: The technical solution is the same as Embodiment 1, the difference is that step S4.4 is to establish a mathematical model of gender and the pressure change rate between adjacent layers of the pressure surface: denote S i , i=1, 2,..., n, is the area of ​​the footprint pressure surface of the i-th layer, and the relative change rate of the footprint pressure surface area between adjacent layers is

[0131] ΔS i =(S i+1 -S i ) / S i , i=1, 2,..., n-1 (10)

[0132] Its coefficient of variation is

[0133] cv=σ / μ (11)

[0134] Among them, μ and σ are respectively {ΔS i} mean and variance;

[0135] Generally speaking, the plantar pressure distribution of women is uniform, so the relative change rate of the pressure surface area between the corresponding adjacent layers is relatively stable, that is, the coefficient of variation is small, given the threshold T=0.3, the coefficient of variation cv is greater than the threshold T, Then it is judged that the ...

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Abstract

The invention discloses a method and a device for the characteristic analysis of a human body based on shoes wearing footprint images, and belongs to the technical field of criminal investigation. The method comprises the following steps: S1, preprocessing the shoes wearing footprint images: removing the interference on shoe sole patterns in the shoes wearing footprint images through an image filter operation, wherein the dimension of the filter is determined according to the size of the pattern adaptively; S2, carrying out multi-layer pressure surface extraction on the shoes wearing footprint images; S3, obtaining the morphological characters of the footprints; and S4, building mathematic models between the morphological characters and stature, age, posture and posture; and obtaining the characteristics of the human body. According to the method provided by the invention, the characteristic analysis of the human body can be realized automatically, and the characteristic analysis of the human body can be analyzed stably and precisely without the influence caused by the dimensions of the shoe sole patterns.

Description

technical field [0001] The invention relates to the technical fields of digital image processing, computer vision and criminal investigation, in particular to a method and device for analyzing personal characteristics based on images of footprints worn by shoes. Background technique [0002] Footprints are one of the four most common traces of "hand, foot, gun" in criminal investigation and handling cases. With the change of crime forms and the increasingly intelligent characteristics of crimes, the perpetrators' awareness of anti-reconnaissance is getting stronger and stronger, and the number of handprints that can be extracted from crime scenes is greatly reduced. Therefore, footprint analysis is becoming more and more important in the process of investigating and solving crimes. One of the most important aspects of footprint analysis is the analysis of personal characteristics, that is, the analysis of the suspect's height, age, body, and gender from the footprints. Acco...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/54
CPCG06V40/11G06V10/20
Inventor 陈伟卿谭重建何晓光
Owner DALIAN EVERSPRY SCI & TECH
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