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

Visual object tracking method based on verification and error correction mechanism, intelligent robot

A target tracking and tracking algorithm technology, applied in the field of intelligent robots, to achieve the effect of simple thinking, improved performance, and increased speed

Active Publication Date: 2022-04-29
XIDIAN UNIV
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: due to the need to use deep learning in the existing technology, the tracking speed has become a bottleneck of the algorithm. Designing a tracking algorithm that can compromise between speed and accuracy becomes is very important

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
  • Visual object tracking method based on verification and error correction mechanism, intelligent robot
  • Visual object tracking method based on verification and error correction mechanism, intelligent robot
  • Visual object tracking method based on verification and error correction mechanism, intelligent robot

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0061] Due to the need to use deep learning in the existing technology, the speed of tracking has become a bottleneck of the algorithm. It is very important to design a tracking algorithm that can compromise between speed and accuracy. The method of the present invention adds target verification and target error correction modules into the tracking algorithm framework, so that the improved visual target tracking algorithm can well deal with multiple visual challenges such as target occlusion, target loss, and target reappearance. It is used in the tracking scene that requires real-time.

[0062] The application principle o...

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 belongs to the technical field of digital image processing, and discloses a visual target tracking method and an intelligent robot based on a verification and error correction mechanism; preprocessing is performed on an input video sequence; and the preprocessed video sequence is input to a CF Tracker module Obtain an initial BB; then input the BB into the Verification module to verify whether the current BB is accurate; then input the unqualified BB into the Error Correction module to obtain a more accurate BB; finally repeat the above operations until until the end of the entire video sequence. The invention increases the speed while improving the accuracy, which can be applied to multiple real-time applications; it can well deal with multiple visual challenges such as target occlusion, target reappearance, and fast movement of the target; the simple and efficient Error Correction module can be integrated into any tracking in the algorithm.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a visual target tracking method and an intelligent robot based on a verification and error correction mechanism. Background technique [0002] At present, the existing technology commonly used in the industry is as follows: visual target tracking is an important research topic in the field of computer vision, and its main task is to obtain the position and motion information of the target of interest in the video sequence, which is used for upper semantic layer analysis (action recognition) , scene recognition, etc.) provide the basis. Visual object tracking is widely used in intelligent video surveillance, human-computer interaction, automatic driving, intelligent robots and other fields, and has strong practical value. Therefore, the research of visual object tracking algorithm is a very important work in digital image processing. Target tracking i...

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): G06V20/40G06V10/764G06K9/62G06N3/08G06T7/20G06T7/70
Inventor 宋锐王智卓张文庆贾媛李云松王养利
Owner XIDIAN UNIV
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