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

A pedestrian re-identification system and method

A pedestrian re-identification and contribution coefficient technology, applied in the field of image recognition, can solve the problem of low pedestrian re-recognition accuracy.

Active Publication Date: 2019-05-10
CHONGQING UNIV
View PDF8 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the above-mentioned prior art, the present invention provides a pedestrian re-identification system, which solves the technical problem of low accuracy of pedestrian re-identification in the prior art, and can improve the accuracy of pedestrian re-identification

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
  • A pedestrian re-identification system and method
  • A pedestrian re-identification system and method
  • A pedestrian re-identification system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0101] The present invention will be further described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0102] A pedestrian re-identification system, including a multi-stream feature distance fusion system for calculating the image similarity between the image to be tested p and each reference image in the initial reference image set G, and a sorting system for sorting the reference images according to the image similarity system;

[0103] refer to figure 2 As shown, the multi-stream feature distance fusion system includes a multi-stream feature extraction network connected step by step, a contribution coefficient adaptive generation module and a distance fusion module;

[0104] The multi-stream feature extraction network includes a feature map extraction network for extracting a feature map of an input image, the feature map includes a global feature map and n regional feature maps, and the input image includes an image to be tested...

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 pedestrian re-identification system comprises a multi-stream feature distance fusion system used for calculating the image similarity between an image p to be detected and each reference image inan initial reference image set G, a sorting system used for sorting the reference images according to the image similarity, and a re-sorting system based on k neighborhood distribution scores. And thereordering system is used for reordering the reference images in the initial ordering list according to the k neighborhood distribution score on the basis of the initial ordering list. The inventionfurther discloses a pedestrian re-identification method, and the pedestrian re-identification system is adopted by the pedestrian re-identification method. The pedestrian re-identification method aimsat two main factors influencing pedestrian re-identification, namely image similarity calculation and image sorting, improvement is carried out respectively, and compared with the prior art, the improvement of any one aspect can improve the accuracy of pedestrian re-identification. And an optimal pedestrian re-identification effect can be obtained through the combination of the improvement of thetwo aspects.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a pedestrian re-identification system for retrieving a specific pedestrian in an image, and also relates to a pedestrian re-identification method. Background technique [0002] Person re-identification aims to retrieve the same person from a reference image set with different camera views. Pedestrian re-identification is an important and challenging topic in video surveillance and public safety. The current pedestrian re-identification is generally retrieved from the reference image data set by the image similarity between the image to be tested and the reference image, and then based on the similarity Then the reference image with the highest similarity with the image to be tested is taken as top-1. [0003] For the similarity calculation part of pedestrian re-identification, due to the change of camera angle and human body posture, pedestrian re-identification mainly faces the...

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): G06K9/00G06K9/62
Inventor 黄智勇汪余杰林爽虞智李银松孙大明
Owner CHONGQING UNIV
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