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Method and device for human body feature analysis and based on barefoot or stocking-wearing footprint images

A feature analysis and footprint technology, applied in the fields of digital image processing, computer vision and criminal investigation, can solve problems affecting personal characteristics, human error, manual measurement, qualitative inference, etc.

Active Publication Date: 2015-04-29
DALIAN EVERSPRY SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is relatively simple to analyze the foot length from the barefoot and stocking footprints and then calculate the height of the person left behind the footprints, but the analysis of age, body shape and gender should be carried out on the basis of comprehensive analysis of the footprint pressure surface. The identification and labeling of the footprint pressure surface Drawing is a key step, and its accuracy will directly affect the analysis results of personal characteristics. At present, only a few experts with many years of experience can mark and draw correctly; in addition, the analysis of personal characteristics based on the pressure surface mainly relies on manual measurement and qualitative inference by experts. Therefore, it is inevitable to introduce human error

Method used

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  • Method and device for human body feature analysis and based on barefoot or stocking-wearing footprint images
  • Method and device for human body feature analysis and based on barefoot or stocking-wearing footprint images
  • Method and device for human body feature analysis and based on barefoot or stocking-wearing footprint images

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Experimental program
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Effect test

Embodiment 1

[0070] Embodiment one: a kind of method based on the personal characteristics analysis of barefoot or wearing socks footprint image, comprises the following steps:

[0071] S1. Perform multi-layer pressure surface extraction on barefoot or socks footprint images;

[0072] S1.1. Preprocessing the barefoot or socks footprint image: filter the barefoot or socks footprint image, the filter formula of the image is as follows:

[0073] I=F*G

[0074] I(i,j)=Σ m Σ n F(i,j)G(i-m,j-n) (1)

[0075] 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;

[0076] Specifically, the filter uses a two-dimensional Gaussian filter:

[0077] G ( u , v ) = ...

Embodiment 2

[0125] Embodiment 2: The technical solution is the same as Embodiment 1, the difference is that step S3.4 is to establish a mathematical model of the aspect ratio of gender and footprint:

[0126] Footprint aspect ratio = foot length / foot width (8)

[0127] The length-to-width ratios of male and female footprints are respectively subject to normal distribution 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, and the difference is that step S3.4 is: establishing a mathematical model of sex and the pressure change rate between adjacent layers of the multi-layer 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

[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] Given a threshold T=0.3, and the coefficient of variation cv is greater than the threshold T, it is judged that the owner of the footprint is male, otherwise it is judged that the owner of the footprint is female.

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Abstract

The invention discloses a method and a device for human body feature analysis and based on barefoot or stocking-wearing footprint images and belongs to the technical field of criminal investigation. The method includes the following steps: S1, performing multilayer pressure face extraction on the barefoot or stocking-wearing footprint images; S2, acquiring at least the following footprint form structure features including foot length, foot width, heel width, arc width and positions of lower-edge convex points of a sole stress surface according to multilayer pressure face images of barefoot or stocking-wearing footprints; S3, respectively establishing mathematic models between the footprint form structure features and body height, age, posture and gender; inputting the above form structure features into the mathematic models to acquire human body features. By the method and device, human body feature analysis can be realized automatically, and human body feature analysis is stable and accurate.

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 barefoot or stocking footprint images. 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. A...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00
Inventor 陈伟卿董波金玮
Owner DALIAN EVERSPRY SCI & TECH
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