Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Comprehensive index quantitative detection method by utilizing stride characteristics

A technology of comprehensive indicators and inspection methods, applied in the field of criminal investigation trace detection, can solve the problems of high dependence on specialized equipment or professional experience

Inactive Publication Date: 2013-07-10
昆明信诺莱伯科技有限公司
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the existing footprint detection methods at home and abroad mostly use plaster models, laser light source irradiation and other means, which have many disadvantages such as excessive dependence on specialized equipment or professional experience; Most of the extracted footprints are a single planar footprint photo

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Comprehensive index quantitative detection method by utilizing stride characteristics
  • Comprehensive index quantitative detection method by utilizing stride characteristics
  • Comprehensive index quantitative detection method by utilizing stride characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0102] Embodiment: Take a certain crime scene stride feature analysis test as an example:

[0103] The first step is to splicing, preprocessing, and extracting the stride characteristic parameters of the footprint photos left at the crime scene; the details are as follows:

[0104] First, image stitching is performed by combining the photos of footprints collected from the crime scene with the improved fast registration algorithm of the number of template columns; then, calibration of weights and measures is performed to obtain the ratio rio of the actual length (unit: cm) of the footprint in the photo to the pixel value; Then color preprocess the spliced ​​footprint pictures by binarization and inverting color parameters to highlight their morphological characteristics; finally, extract the footprint centerline, area mark, and centroid of the footprint pictures in sequence according to the principal components. The steps of extraction, step length extraction, step width extra...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a comprehensive index quantitative detection method by utilizing stride characteristics and belongs to the technical field of criminal investigation trace detection. The method comprises the following steps: splicing and preprocessing cluster-footprint pictures left on the crime scene, extracting the stride characteristic parameters, analyzing the personal characteristics through the stride characteristics, narrowing the criminal suspect range, performing combined similarity contrast with the sample data through a membership degree detection method, and finally determining the criminal suspect range. According to the method, the judgment accuracy and efficiency are improved, a convenient and accurate comprehensive index quantitative detection method by utilizing stride characteristics is provided for criminal investigation personnel, and the method is suitable for automatically extracting, analyzing, contrasting and checking the cluster-footprints left on the crime scene.

Description

technical field [0001] The invention relates to a quantitative inspection method using a comprehensive index of stride characteristics, and belongs to the technical field of criminal investigation trace detection. Background technique [0002] A set of footprints refers to multiple continuous footprints that can directly reflect the characteristics of the coordination and matching relationship between the two feet. Obtain the suspect's personal information and on-site activity track with the help of footprints, and then compare the similarity with the samples in the sample database, which can help investigators narrow down the scope of suspects and clarify the direction of case investigation. [0003] At present, the existing footprint detection methods at home and abroad mostly use plaster models, laser light source irradiation and other means, which have many disadvantages such as excessive dependence on specialized equipment or professional experience; Most of the extrac...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T5/50G06T3/40G06K9/46
Inventor 潘楠刘益
Owner 昆明信诺莱伯科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com