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

Method for extracting gait features of pedestrian, gait recognition method and system

A gait feature and pedestrian technology, applied in the field of data processing, can solve the problems of time-consuming, cumbersome process, and many steps, and achieve the effect of good extraction effect and simple and fast processing process.

Inactive Publication Date: 2021-06-11
OMNIVISION SENSOR SOLUTION (SHANGHAI) CO LTD
View PDF7 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This contour extraction technology not only has many steps, the process is cumbersome, and takes a long time, but also the contour extraction effect in complex scenes is not ideal.
For example, when the background is too complex, the extracted pedestrian posture outlines are often partially missing or accompanied by environmental backgrounds, which seriously affect the accuracy of gait recognition.

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
  • Method for extracting gait features of pedestrian, gait recognition method and system
  • Method for extracting gait features of pedestrian, gait recognition method and system
  • Method for extracting gait features of pedestrian, gait recognition method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0027] In recent years, Dynamic Vision Sensor (DVS) has received more and more attention and applications in the field of computer vision. DVS is a biomimetic visual sensor that mimics the human retina based on spike-triggered neurons. The sensor has a pixel unit array composed of multiple pixel units, and each pixel unit will respond and record the area where the light intensity changes rapidly only when it senses a change in ligh...

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 discloses a method for extracting gait features of pedestrians, and a gait recognition method and system. The method comprises the following steps: aiming at a section of event data stream from a dynamic visual sensor, generating a frame of image containing the pedestrian every preset duration of event data so as to generate an image sequence; respectively extracting the attitude contour of the pedestrian in each frame of image from the image sequence, and generating an attitude contour map to obtain an attitude contour map sequence; and performing feature extraction on the attitude profile map sequence to obtain a feature vector representing pedestrian gait information. The invention also discloses the corresponding computing equipment.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for extracting pedestrian gait features and a gait recognition method. Background technique [0002] Gait recognition is an emerging biometric recognition technology, which mainly uses people's walking posture for identification. Different from other biometric identification technologies, gait recognition is a passive identification technology, which has the advantages of non-contact, long-distance and not easy to camouflage. Therefore, gait recognition has great advantages and broad prospects in the field of intelligent video surveillance. [0003] Since the gait recognition technology performs identity recognition by extracting the posture information of the person walking, therefore, in the process of recognizing the posture information, it is necessary to extract the posture profile of the pedestrian. At present, the most commonly used contour extraction me...

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): G06K9/00G06K9/34G06K9/46G06K9/62
CPCG06T2207/20032G06V40/25G06V20/46G06V10/443G06V10/267G06F18/22
Inventor 杨志尧牟晓正
Owner OMNIVISION SENSOR SOLUTION (SHANGHAI) CO LTD
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