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

Gait outline extraction method

A technology of contour extraction and extraction method, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve problems affecting the extraction effect of gait contours, and achieve improved clarity, distinguishability, and good localization effects Effect

Inactive Publication Date: 2015-09-30
合肥市徽腾网络科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The existing gait contour extraction methods limit the same gray level in the image segmented by the evolution curve, and make different image information in different areas, which affects the effect of gait contour extraction

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0010] This specific implementation adopts the following technical solution: Its extraction method is: express the level set function in a space-time discrete grid, first construct the SDF function, and initialize it to zero, and finally solve the numerical solution of partial differential equations. Re-initialize with the signed distance function of the curve and determine whether the value is stable, if it is to stop the iteration, otherwise repeat the above process.

[0011] The principle of this specific implementation is: a new variational level set model based on the CV model, which combines the edge and region information of the image; for the external energy term, the original CV model energy is retained Based on the item, the gradient value of the image before and after segmentation is added, and a new model function can be obtained.

[0012] This specific embodiment has a better localization effect on the image boundary, and combines the edge of the image with the reg...

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 gait outline extraction method and relates to the technical field of gait outline extraction. The extraction method comprises the following steps: representing a level set function in a spatial-temporal discrete grid; firstly constructing an SDF (Sign Distance Function) so as to perform initialization and nulling operation; then solving out a numerical solution of a partial differential equation; and finally reinitializing by virtue of a curved SDF, judging whether the numerical value is stable or not, stopping iteration if the numerical value is stable, otherwise, repeating the above process. The gait outline extraction method is capable of achieving a favorable localization effect on image boundaries, combining image edge and zone information and improving the gait outline definition and distinctiveness.

Description

Technical field: [0001] The invention relates to the technical field of gait contour extraction, in particular to a gait contour extraction method. Background technique: [0002] Computer vision uses various imaging systems to replace visual organs as input-sensitive means, and uses computers to replace the brain to complete processing and interpretation; the ultimate research goal of computer vision is to enable computers to observe and understand the world through vision like humans, with autonomous adaptation to the environment Ability. [0003] Gait feature recognition is different from other biometric recognition technologies (such as human face, iris, fingerprints, etc.). Gait is an external and dynamic performance of a person, and is closely related to time and space. At the same time, it is compatible with other biological features based on static features. Compared with recognition technology, gait recognition has significant advantages such as non-contact, non-invasi...

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): G06K9/00G06K9/46
CPCG06V40/25G06V10/44
Inventor 不公告发明人
Owner 合肥市徽腾网络科技有限公司
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