Feature reconstruction layer training method, image feature reconstruction method and related device

An image feature and training image technology, applied in the field of pedestrian re-identification, can solve the problems of inconsistent shooting angles, blurred pictures, strong lighting changes, etc., to reduce interference and influence, and improve accuracy.

Inactive Publication Date: 2020-02-21
重庆紫光华山智安科技有限公司
View PDF9 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical application scenarios, the detected pedestrian data is very complex and is often affected by various objective factors, such as no frontal photos, strong lighting changes, clothing changes, posture changes, occlusions, inconsistent shooting angles, blurred pictures, etc. , these objective factors will greatly increase the difficulty 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
  • Feature reconstruction layer training method, image feature reconstruction method and related device
  • Feature reconstruction layer training method, image feature reconstruction method and related device
  • Feature reconstruction layer training method, image feature reconstruction method and related device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0032] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art w...

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 feature reconstruction layer training method, an image feature reconstruction method and related devices, and relates to the field of pedestrian re-identification. The training method is applied to the electronic device and comprises the steps of obtaining a first feature vector according to a training image set; wherein the training image set comprises at least one training image; obtaining a second feature vector according to the fuzzy training set; wherein the fuzzy training set comprises at least one first feature map, and the first feature map is obtained by performing image feature suppression on the training image; obtaining reconstruction layer updating information according to the first feature vector and the second feature vector; and obtaining a featurereconstruction layer matched with the model convergence condition according to the reconstruction layer updating information. By use of the feature reconstruction layer obtained by the invention, no matter whether the image to be retrieved is a clear image or a blurred image, a better image feature can be obtained so as to reduce interference and influence of image blurring and the like on neuralnetwork features, and then pedestrian retrieval accuracy is improved.

Description

technical field [0001] The present application relates to the field of pedestrian re-identification, specifically, a method for training a feature reconstruction layer, a method for reconstructing image features, and related devices. Background technique [0002] Pedestrian re-identification is a very popular direction in computer vision research. At present, it has been widely used in the field of camera security. It mainly solves the problem of pedestrian recognition and retrieval in different scenarios across cameras. Traditional face recognition technology has defects such as narrow viewing angles. [0003] Pedestrian re-identification can be used as an important supplement to face recognition technology. It can perform cross-camera retrieval of pedestrians who cannot obtain clear faces, and improve the coverage and spatiotemporal continuity of security monitoring. However, in practical application scenarios, the detected pedestrian data is very complex and is often affe...

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): G06F16/58G06K9/62
CPCG06F16/58G06F18/2411G06F18/214
Inventor 周涛涛
Owner 重庆紫光华山智安科技有限公司
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