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

Pedestrian re-recognition method and system based on self paced feedback

A pedestrian re-identification and one-to-one technology, applied in the field of pedestrian re-identification and system based on self-paced feedback, can solve the problems of restricted marking, large number of marked samples, difficult samples, etc., to improve effectiveness and accuracy, reduce The effect of artificial labeling and improving accuracy

Active Publication Date: 2018-01-09
WUHAN UNIV
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method works well and has good robustness, but requires a large number of labeled samples and a large system overhead
When marking samples, it is difficult to find samples that are similar or dissimilar as a whole. Absolute similarity and dissimilarity also limit the marking of most samples. The samples with different degrees of similarity are treated uniformly, and the role of marking is not maximized.
[0007] Patent No. "CN 101539930 A", titled "A Relevant Feedback Image Retrieval Method", realizes the retrieval of target images through an image retrieval method based on segmental similarity measurement and multi-round joint feedback. The matching effect retrieved by the method is relatively good, but the calculation process is relatively complicated, and it is necessary to repeatedly train and learn multiple features in the image, which is not suitable for actual deployment in the pedestrian re-identification system

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
  • Pedestrian re-recognition method and system based on self paced feedback
  • Pedestrian re-recognition method and system based on self paced feedback
  • Pedestrian re-recognition method and system based on self paced feedback

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The pedestrian re-identification method based on self-procedural feedback provided by the present invention is aimed at the significant difference between the pedestrian image in the video surveillance scene and various images in other situations, and is based on the structural characteristics of various parts of the body in the walking state. , divide it into several fixed component areas, use the area as the basic processing unit, and calculate the uncertainty of the samples, mark the samples with relatively large uncertainties, and finally reorder according to the optimized score size to realize the self-based The whole process of the pedestrian re-identification method with step feedback. specific implementation

[0053] Computer software technology can be used to support process operation. see figure 1 , the flow process of the embodiment includes steps as follows:

[0054] Step 1. Divide all the samples to be queried, calculate the intimacy between the samples ...

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 pedestrian re-recognition method and system based on self paced feedback. The method comprises the steps that sample areas are divided, and the sample intimacy is calculated;a query sample is input to calculate the score and uncertainty of each sample to acquire a query matching result; at the same time, the quantitative evaluation is carried out on the ranking difficultyof each sample; samples difficult for ranking are selected to form a sample set to be fed back, and a user mark is submitted; after user feedback is completed, a sample mark is updated by the feedback sample set; the ranking score and the difficulty of each sample are recalculated until the final desired search goal of the user is found. According to the feedback technology based on self paced learning and active learning, the information amount of an unlabeled image is fully used; the sample the most difficult for ranking is selected and provided for the user mark; user marks are effectivelyreduced; and the right goal can be accurately and rapidly found.

Description

technical field [0001] The invention relates to the pedestrian re-identification problem in the field of video investigation, and belongs to a pedestrian re-identification method and system based on self-procedural feedback. Background technique [0002] Pedestrian re-identification in surveillance video is a technique for matching specific pedestrian objects in a multi-camera environment with non-overlapping illuminated areas. In the actual video investigation, investigators mainly use the moving pictures and trajectories of the same pedestrian object to quickly lock, check and track the suspected target. The traditional video investigation mode of manual browsing requires a lot of manpower and time, and it is easy to delay the time to solve the case. Pedestrian re-identification technology facilitates video investigators to quickly and accurately discover the moving pictures and trajectories of suspected targets, which is of great significance to the public security depar...

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): G06K9/00G06K9/62G06F17/30
Inventor 梁超闫素黄文军徐东曙李晨阳
Owner WUHAN 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