Visual target tracking method and system oriented to image sequence

A target tracking and image sequence technology, applied in the field of computer vision, can solve problems such as the inability to predict the position and size of the target, the inaccurate and reliable target tracking, and the tracking process is easily disturbed by the environment, achieving high commercial value and research significance.

Active Publication Date: 2018-11-02
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
View PDF7 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is that the existing visual target tracking algorithm cannot predict the position and size of the target, and the tracking process is easily disturbed by the environment, and the target tracking cannot be performed accurately and reliably.

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 target tracking method and system oriented to image sequence
  • Visual target tracking method and system oriented to image sequence
  • Visual target tracking method and system oriented to image sequence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The invention provides a technical method for image sequence-oriented visual target tracking, which can fully overcome the interference of various environmental factors in the tracking scene, realize accurate prediction of target position and size, and has high commercial value and research significance. The present invention will be described in detail below in conjunction with the drawings and specific implementations of the specification.

[0057] Such as figure 1 with figure 2 As shown, the technical method for image sequence-oriented visual target tracking provided by the present invention may specifically include the following steps:

[0058] Train the convolution regression model for target tracking by using the given initial image and the rectangular frame of the target to be tracked;

[0059] Use the trained convolution regression model to predict the location of the target;

[0060] On the basis of the prediction result of the target position, further predict the siz...

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 visual target tracking method and a visual target tracking system oriented to an image sequence. The visual target tracking method comprises the following steps of training aconvolutional regression model for target tracking by use of a given initialized image and a to-be-tracked target rectangular frame; predicating the position of a target by use of the convolutional regression model obtained by training; further predicting the size of the target on the basis of a prediction result of the target position; and updating the convolutional regression model according tothe position and the size of the target obtained by tracking. According to the visual target tracking method and the visual target tracking system oriented to the image sequence, technologies such astraining of a target overall regression model, training of a target texture regression model, prediction of the target position, prediction of the target size, updating of a tracking model and the like are involved, the interference of various environmental factors in a tracking scene can be fully overcome to implement accurate prediction for the target position and size, and relatively higher commercial values and research significances are possessed.

Description

Technical field [0001] The present invention relates to the technical field of computer vision, in particular to a method and system for tracking an image sequence-oriented vision target. Background technique [0002] In the field of computer vision, it is usually necessary to use intelligent algorithms to automatically identify and analyze video information to achieve intelligent control of the equipment. The target tracking algorithm based on the visual image sequence can make full use of the existing single image-oriented target detection algorithm to quickly and reliably track the trajectory of the target in the video, which improves the technical support for understanding and analyzing the video. [0003] With the rapid expansion of industrial production scale, the degree of automation and intelligence in the production process of industrial products also needs to be continuously improved. For example, in a video surveillance system, intelligent algorithms are required to aut...

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): G06K9/00G06K9/62G06N3/04
CPCG06V20/42G06N3/045G06F18/214
Inventor 刘李漫刘佳
Owner SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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