Method, device and computer equipment for pedestrian re-identification based on video sequence

A pedestrian re-identification and video sequence technology, applied in the field of image processing, can solve the problem of not intuitively explaining the validity of multi-frame information, and cannot measure the similarity of video sequences well, and achieve the effect of good performance.

Active Publication Date: 2022-04-05
SHENZHEN UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, most of the person re-identification methods based on video sequences are to input all the sequence information to the network, so that the network can learn useful information, and there is no intuitive explanation for the effectiveness of multi-frame information, and it cannot measure the relationship between video sequences well. similarity between

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, device and computer equipment for pedestrian re-identification based on video sequence
  • Method, device and computer equipment for pedestrian re-identification based on video sequence
  • Method, device and computer equipment for pedestrian re-identification based on video sequence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0057] It can be understood that the terms "first", "second" and the like used in this application may be used to describe various elements herein, but these elements are not limited by these terms. These terms are only used to distinguish one element from another element.

[0058] The video sequence-based pedestrian re-identification method provided by the embodiment of the present invention can be applied to such as figure 1 shown in the application environment. The computer device 110 is connected to a database 120 through a network, and the database 120 includes and ...

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 present application relates to a video sequence-based pedestrian re-identification method, device, computer equipment, and storage medium, wherein the method includes: constructing a residual network, and training the residual network through training samples in a data set to obtain a feature extraction network ; Input the test sample in the data set into the feature extraction network to obtain the feature matrix of the pedestrian target sequence in the test sample; calculate the query sequence according to the dynamic time warping algorithm based on the video sequence time through the feature matrix of the pedestrian target sequence and the distance to the sequence to be matched, and output the result of pedestrian re-identification based on the video sequence. The present invention can intuitively explain the effectiveness of multi-frame information according to the dynamic time warping algorithm based on the video sequence time, and can measure the similarity of two video sequences well.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a video sequence-based pedestrian re-identification method, device, computer equipment and storage medium. Background technique [0002] At present, in the field of multi-camera video surveillance, it is often necessary to detect and recognize pedestrians who have appeared in a certain field of view again in other fields of view. This process is called pedestrian re-identification. In a multi-camera intelligent video surveillance system, pedestrian re-identification is of great significance. When pedestrians are detected and recognized again, their environment such as the monitoring scene, lighting conditions, and the pose of the pedestrian itself have changed. How to quickly and accurately identify pedestrians in other conditions when the pedestrian scene and other conditions change? Detection and recognition in the field of view becomes the key to pedestrian r...

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 Patents(China)
IPC IPC(8): G06V40/10G06V10/77G06V10/74G06V10/75G06V10/62G06V10/82G06V10/764
CPCG06V40/10G06F18/22G06F18/213
Inventor 裴继红于亚威谢维信杨烜
Owner SHENZHEN 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