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

A Vehicle Tracking Method Fused with Feature Matching and Optical Flow

A technology of fusing features and vehicle tracking, which is applied in the field of vehicle tracking fused with feature matching and optical flow method, can solve the problems of unstable tracking system, offset error of relevant information parameters, etc., to improve timeliness, effectiveness, and stability. good performance and real-time performance

Inactive Publication Date: 2019-07-09
XI'AN PETROLEUM UNIVERSITY
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a vehicle tracking method that combines feature matching and optical flow method, which can effectively solve the problem of offset error in relevant information parameters caused by using feature point matching based on exhaustive search alone in the prior art and using optical flow alone technical problems that lead to instability of the tracking system

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
  • A Vehicle Tracking Method Fused with Feature Matching and Optical Flow
  • A Vehicle Tracking Method Fused with Feature Matching and Optical Flow
  • A Vehicle Tracking Method Fused with Feature Matching and Optical Flow

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention will be further described below in conjunction with the drawings and specific embodiments.

[0050] See Figure 1~4 , A vehicle tracking method fusing feature matching and optical flow method, including the following steps:

[0051] Step 1: Use a rectangular frame to identify the vehicle target to be tracked in the initial frame, and use the SURF feature extraction algorithm to extract the feature points in the rectangular frame, which is expressed as a feature point set R;

[0052] Step 2: Extract the coordinate O of the center position of the rectangular box in Step 1, and:

[0053] According to formula (1.1), calculate the relative distance between any two feature points in the point set R in step 1 (r ij ) i≠j ;

[0054] According to formula (1.2), calculate the relative distance h(p) from all the feature points in the point set R to the target center O in step 1. i ,O);

[0055] According to formula (1.3), calculate the relative angle α between any two...

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 vehicle tracking method combining feature matching and optical flow method, which is to determine the mutual relationship of target information parameters between moving targets in each frame, record the track of the target through the matching relationship between the front and rear frames, and realize the tracking of the target On the one hand, it avoids the offset error caused by the recursive estimation of the pyramid model when the KLT tracking algorithm is simply used. On the other hand, the feature matching algorithm is used as a compensation mechanism to update and correct the target feature point set. Not only Adapt to the scale change and rotation change of the vehicle target during the movement process, and also improve the stability and robustness of the tracking algorithm, and solve the problem of insufficient feature points in the tracking process of the KLT algorithm using bidirectional reversibility constraints .

Description

Technical field [0001] The invention belongs to the technical field of video detection, and specifically relates to a vehicle tracking method that combines feature matching and optical flow method. Background technique [0002] As an important research content in the field of computer vision and image processing, video-based vehicle detection technology has attracted more and more attention due to its convenience and speed. Video-based moving vehicle tracking is an attempt to determine target correlation between moving targets in each frame Information parameters, such as the relationship between position, speed, color, texture, shape, etc., record the target's trajectory and other information through the matching relationship between the front and rear frames to achieve target tracking, how to get the corresponding points between video frames, that is Feature point matching is one of the key technologies of target tracking. [0003] The essence of feature point matching is to see...

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): G06K9/00G06K9/20G06K9/46G06K9/62
CPCG06V20/584G06V10/225G06V10/443G06V10/751G06V2201/08G06F18/231
Inventor 卢胜男李小和张峰
Owner XI'AN PETROLEUM UNIVERSITY
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