Video pedestrian re-identification method and system based on pedestrian average status

A pedestrian re-identification, pedestrian technology, applied in the field of image recognition, can solve problems such as spatial and temporal feature differences

Inactive Publication Date: 2018-11-13
SHANDONG UNIV
View PDF3 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In order to solve the deficiencies of the prior art, the present invention provides a video pedestrian re-identification method based on the average pedestrian state. The present invention introduces the definition of the average pedestrian state to capture the changes in the video, and solves the problem of spatial-temporal features extracted from the same video. difference

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
  • Video pedestrian re-identification method and system based on pedestrian average status
  • Video pedestrian re-identification method and system based on pedestrian average status
  • Video pedestrian re-identification method and system based on pedestrian average status

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0053] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0054] Video-based person re-identification is an important task to match the same person through non-overlappin...

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 video pedestrian re-identification method and system based on pedestrian average status. The method includes: shooting and obtaining a video by non-overlapping cameras to form a data set containing multiple pedestrians, training a Siamese network with a Siamese loss function together, and due to that video features learned by a trained network have distinguishability, initializing average bodies of individuals through feature vectors obtained by averaging out features of all frames from the same video; defining an in-video loss function as minimizing distance betweenthe video features and the average status, combining the in-video loss function and the Siamese loss function together, and starting from beginning to train a new model; and using the trained model toupdate the pedestrian average status, and using the updated average status to retrain the network until further gain on accuracy of pedestrian re-identification is not generated on a validation set.The method of the application is superior to most of most advanced algorithms on PRID 2011, iLIDS-VID and MARS data sets, and thus effectiveness of the method provided by the application is also proven.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a video pedestrian re-identification method and system based on the average state of pedestrians. Background technique [0002] Person re-ID aims to match the same person from non-overlapping views of different cameras. Recently, person re-identification has received attention due to the importance of person safety and surveillance in public and private places. However, recognizing the same pedestrian in different cameras is still an urgent problem due to camera viewpoint changes, background clutter, illumination changes, similar behaviors, etc. [0003] For static images, the problem of person re-identification has been extensively explored by prior art, including feature learning, metric learning and CNN-based methods. However, in contrast to video sequences, a single still image cannot yield temporal information for pedestrian matching. Therefore, the motion chang...

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): G06K9/00G06N3/04
CPCG06V40/10G06V20/47G06N3/045
Inventor 李艺萌张伟喻晓东许信顺鲁威志顾建军
Owner SHANDONG UNIV
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
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap