Model training method and device, terminal and storage medium

A model training and model technology, applied in the Internet field, can solve the problems of low accuracy of visual target tracking and unsuitable application of visual target tracking scenarios, etc.

Active Publication Date: 2019-08-20
TENCENT TECH (SHENZHEN) CO LTD
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, visual target tracking is mainly implemented by using traditional image processing models, but the inventors have found in practice that traditional image processing models are designed to achieve image classification tasks and are trained using

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 training method and device, terminal and storage medium
  • Model training method and device, terminal and storage medium
  • Model training method and device, terminal and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0043] The embodiment of the present invention provides a first object recognition model, the first object recognition model refers to an image recognition model with image recognition performance, such as a super-resolution test sequence (Visual Geometry Group, VGG) model, Google Network GoogleNet model and deep residual network (Deep residual network, ResNet) model, etc. The first object recognition model can accurately extract features from images, and the extracted features are more suitable for visual target tracking scenarios. Therefore, applying the first object recognition model in combination with relevant tracking algorithms in visual target tracking scenarios can Improve the accuracy and real-time performance of visual object tracking.

[0044] Specifically, the st...

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 embodiment of the invention discloses a model training method and device, a terminal and a storage medium. The method comprises: acquiring a template image and a test image; calling the first object recognition model to process the characteristics of the tracking object in the template image to obtain a first reference response, and calling the second object recognition model to process the characteristics of the tracking object in the template image to obtain a first reference response; calling the first object recognition model to process the characteristics of the tracking object in thetest image to obtain a first test response, and calling the second object recognition model to process the characteristics of the tracking object in the test image to obtain a second test response; tracking the first test response to obtain a tracking response of the tracked object; and updating the first object recognition model based on the difference information between the first reference response and the second reference response, the difference information between the first test response and the second test response and the difference information between the tracking tag and the tracking response. According to the embodiment of the invention, the accuracy of visual target tracking can be improved.

Description

technical field [0001] The present invention relates to the field of Internet technology, in particular to the field of visual object tracking, and in particular to a model training method, a model training device, a terminal and a storage medium. Background technique [0002] With the development of science and technology, computer vision has become a popular research field, and visual object tracking is an important research direction in the field of computer vision. The so-called visual object tracking refers to predicting the size and position of the tracking object in other images when the size and position of the tracking object in a certain image are known. Visual object tracking is usually used in video surveillance, human-computer interaction, and unmanned driving and other application scenarios that require high real-time performance. For example, the size and position of the tracking object in a certain frame image in a given video sequence In this case, predict ...

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): G06K9/62G06K9/00
CPCG06V20/48G06V20/46G06F18/214G06T7/246G06T2207/20081G06T2207/20084G06T2207/30196G06T2207/30241G06V10/454G06V10/82G06V10/62G06V10/75G06T7/73G06V20/64G06F18/253
Inventor 王宁宋奕兵刘威
Owner TENCENT TECH (SHENZHEN) CO LTD
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