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

Target tracking method and system based on adaptive color characteristics and space-time contexts

A technology of spatio-temporal context and color features, applied in image analysis, image enhancement, instruments, etc.

Inactive Publication Date: 2017-08-25
SHANDONG UNIV
View PDF1 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Robust tracking is still a huge challenge due to factors such as illumination, occlusion, and changes in the target itself caused by target movement, rotation, and scaling.

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
  • Target tracking method and system based on adaptive color characteristics and space-time contexts
  • Target tracking method and system based on adaptive color characteristics and space-time contexts
  • Target tracking method and system based on adaptive color characteristics and space-time contexts

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0092] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0093] Such as figure 1 As shown, the target tracking method based on adaptive color features and spatio-temporal context includes the following steps:

[0094] Step (1): After inputting the first frame image of the video sequence, use a rectangular frame to select the tracking target;

[0095] Step (2): Calculate the target confidence map of the first frame;

[0096] Step (3): the tracking target confidence map includes a context prior model and a spatial context model;

[0097] Model the local context information of the tracking target through the concentration characteristics and color features of the biological visual system, and obtain the context prior model, that is, the prior probability;

[0098] By first performing fast Fourier transform on the context prior model and then performing inverse fast Fourier transform, the spatial context model...

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 target tracking method and system based on adaptive color characteristics and space-time contexts. The method comprises steps that after a first image of a video sequence is inputted, a rectangle frame is utilized to select and track a target; a target confidence graph of the first image is calculated; the tracking target confidence graph comprises a context prior model and a space context model; a space-time context model of a tth image is updated according to space context model learning; convolution operation for a (t+1) image is carried out according to the acquired space-time context model, a target confidence graph of the (t+1) image is calculated, and the maximial likelihood probability position of the target confidence graph is solved and is taken as the optimum target position; the optimum target position is taken as a new tracking target, steps are repeated according to the target confidence graph of the (t+1) image, and the optimum target position of a (t+2) image is determined; optimum target position determination of all the images is realized.

Description

technical field [0001] The invention relates to the field of image processing and computer vision technology tracking, in particular to a target tracking method based on adaptive color features and spatio-temporal context. Background technique [0002] Video object tracking is one of the basic problems in the field of machine vision, which integrates theoretical knowledge in many different fields such as image processing, pattern recognition, artificial intelligence, and automatic control. Video tracking is the basis for subsequent applications such as target recognition and behavior recognition, and has broad application prospects in many fields such as military guidance, visual navigation, intelligent transportation, and medical diagnosis. [0003] The research on the moving target tracking problem can be roughly divided into two methods: (a) do not rely on prior knowledge, directly detect the moving target from the graphic sequence, and perform target recognition, and fin...

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): G06T7/262G06T7/207G06T7/70
CPCG06T2207/10016G06T7/207G06T7/262G06T7/70
Inventor 刘治郭庆荣姬海燕孔令爽许建中邱清晨曹艳坤
Owner SHANDONG 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