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

Model drift suppression method based on similarity measure and device thereof

A technology of suppressing device and similarity, applied in the field of computer vision, to achieve the effect of strong robustness, low energy consumption and low application cost

Active Publication Date: 2019-02-26
FUJIAN INST OF RES ON THE STRUCTURE OF MATTER CHINESE ACAD OF SCI
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The existing correlation filter tracking algorithm cannot avoid the phenomenon of model drift.

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
  • Model drift suppression method based on similarity measure and device thereof
  • Model drift suppression method based on similarity measure and device thereof
  • Model drift suppression method based on similarity measure and device thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The application will be described in detail below with reference to the embodiments, but the application is not limited to these embodiments.

[0043] See figure 1 , The method for suppressing model drift based on similarity metric provided by this application includes the following steps:

[0044] Step S100: Set the number of targets contained in the target set, put the targets in the initialization frame into the target set and fill up the target set;

[0045] Step S200: Extract the feature of the frame-selected target in the i-th frame of image after tracking time t, calculate the similarity between the frame-selected target and the target block in the target set, and determine whether the frame-selected target sample in the i-th frame of image is put in according to the similarity Target set, if put in, output update threshold for target set update;

[0046] Step S300: If the target set is updated, the training model is updated according to the update threshold; otherwise, ...

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 model drift suppression method based on similarity measurement and a device thereof. The method comprises the following steps: step S100: obtaining parameters in a correlation filter tracking algorithm according to an initialization frame; Step S200: sampling the target position and the target scale in the initialization frame, extracting the initial target feature, extracting the feature of the frame selected target in the i-th frame image after the tracking time, calculating the similarity between the frame selected target and the initial target, and judging the similarity; Step S300: If the target set is updated, the training model is updated according to the update threshold beta. The method sets a fixed number of target sets, and determines whether to updatethe target set and model after similarity measurement, so as to avoid the model drift phenomenon caused by template updating. Another aspect of the present invention also provides an apparatus for model drift suppression based on similarity measures.

Description

Technical field [0001] The application relates to a method and device for suppressing model drift based on similarity metric, and belongs to the field of computer vision. Background technique [0002] Target tracking is one of the research hotspots in computer vision problems, and it has a very wide range of applications in video surveillance, unmanned aerial vehicles and other fields. Generally, target tracking is a problem of estimating the trajectory of the target in the video only in its initial state. Recently, correlation filtering theory has been used in the field of target tracking due to its efficiency and robustness, which has greatly promoted the development of target tracking. In the process of target tracking, the visual tracking benchmark (Visual Tracker Benchmark) sequence set contains 11 attributes, which represent the trajectory of the visual target in visual tracking. [0003] The phenomenon of template drift refers to the phenomenon that during target tracking,...

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): G06T7/277
CPCG06T7/277G06T2207/10016
Inventor 何雪东周盛宗
Owner FUJIAN INST OF RES ON THE STRUCTURE OF MATTER CHINESE ACAD OF SCI
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