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

Target tracking method based on LabVIEW

A target tracking and target technology, which is applied in image data processing, instruments, computing, etc., can solve the problems of tracking target loss and time-consuming, and achieve the effects of improving real-time performance and robustness, narrowing the search range, and improving tracking speed.

Inactive Publication Date: 2014-07-02
SHAANXI UNIV OF SCI & TECH
View PDF2 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method needs to search the entire image area and requires more information, so it will be time-consuming. When the target is too occluded, it will easily lead to the loss of the tracking target.

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 based on LabVIEW
  • Target tracking method based on LabVIEW
  • Target tracking method based on LabVIEW

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0023] Step 1, template matching: first select the vehicle as the moving target, the target is not blocked, target tracking adopts regional template matching; obtain the video sequence containing the target vehicle, make the initial frame into a template, and use the built-in vision development toolkit IMAQVision of LabVIEW IMAQLearnPatter4 function for template learning and training, and then use the template to search for pixel matching in the target area, use the IMAQMatchPatter4 function to complete the template matching process, record the number of matching pixels as 3000, and set the threshold Ta as 90 in advance, which is 3% of 3000. If the unmatched number is less than or equal to 90, the matching is successful, and the next frame matching search is performed, and then step 4 Kalman prediction is performed; if the unmatched number is greater than 90, the matching fails, and step 2 occlusion detection is performed;

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

Provided is a target tracking method based on a LabVIEW. When a target is not shielded, area template matching is adopted in target tracking, and learning and matching of a template are achieved through a machine vision module in a vision and movement function library arranged in the LabVIEW; when the target is shielded, a certain or some invariance characteristics of the target are extracted, characteristic template matching is carried out, tracking is completed, a search algorithm is brought in the tracking process to carry out estimation hypothesis on the position state of the target at the next moment, accordingly, tracking can be achieved in real time quickly and accurately, the shielded target can be tracked accurately and stably, it is guaranteed that the target cannot be lost in the tracking process, the tracking speed is accelerated, and real-time performance and robustness of tracking are improved.

Description

technical field [0001] The invention relates to a target tracking method, which belongs to the technical field of machine vision and image processing, in particular to a target tracking method based on LabVIEW. Background technique [0002] At present, moving target tracking technology is the core topic in the field of computer vision, and it is also the key underlying technology of intelligent video surveillance systems. It has practical value in safety monitoring, traffic management, etc., and has the characteristics of flexibility and visualization. In the field of intelligent transportation, through the tracking of vehicle targets, the intelligent traffic information analysis system can use fixed camera equipment erected on urban roads or highways to obtain vehicle information on the road, so as to provide necessary information for the system terminal and automatically obtain , Record and analyze traffic accidents and call the police, record the information of illegal v...

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): G06T7/20
Inventor 李光明张巧丽张涛殷波
Owner SHAANXI UNIV OF SCI & TECH
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