Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Quick gait recognition method

A gait recognition and fast technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of complex gait, and achieve the effect of high speed, improved accuracy and good recognition performance

Active Publication Date: 2013-03-20
重庆信科设计有限公司
View PDF3 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with biological features such as iris face fingerprints, gait contains more complex attributes, so effective gait feature extraction has always been an unsolved problem

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
  • Quick gait recognition method
  • Quick gait recognition method
  • Quick gait recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0051] Such as figure 1 As shown, the fast gait recognition method includes the following steps:

[0052] Step 1. Establish a gait feature database composed of gait features, where each gait feature corresponds to a person, and each gait feature includes 5 components: personal number ID, height h, gender s, age a and step State information file pointer *P, each gait information file pointer *P corresponds to a gait information component. The gait characteristics are defined as:

[0053] struct GaitFeature / / gait feature

[0054] {cha...

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 provides a quick gait recognition method and belongs to the field of gait recognition. In the method, a gait characteristic includes five components; and the method comprises the steps of screening by heights firstly, screening by genders and ages secondly, and screening by gait information components finally, so that an identity recognition problem is solved step by step. A decision-level information fusion strategy is adopted, so that the speed of gait recognition is increased. The gait information components are stored to a gait characteristic database in a gait information file indicator mode, so that the gait recognition is completely converted to database query; the corresponding gait information components can be searched quickly by gait information file indicators; and the speed of the gait recognition is further increased. Furthermore, as a human body area diagram is converted to a human body outline diagram in the process of obtaining the gait information components, the data compression ratio is increased, and a storage space is saved. In addition, as the human body outline graph is converted to a spatio-temporal energy diagram to serve as a novel gait component, the accuracy of the gait recognition is improved.

Description

technical field [0001] The invention relates to a gait recognition method, in particular to a fast gait recognition method based on time-space profile analysis. Background technique [0002] Gait recognition is an emerging biometric recognition technology, and it is also an important research topic in the field of computer vision, which aims to identify people based on their walking posture. People can attribute the recognition of static images such as faces and fingerprints to the first-generation biometric technology, so this emerging recognition technology can be called the second-generation biometric technology. [0003] Gait recognition has the advantages of long-distance and non-invasiveness, and has received more and more attention from researchers in modern intelligent monitoring systems. In video surveillance systems, human face and gait features have always been considered as two important and available features. However, face recognition is easily affected by fa...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 李校林张天永朱闯何策
Owner 重庆信科设计有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
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