Using Image Stabilization and VIBE Algorithm to Extract Foreground Target from Jitter Video

In target detection and tracking processing area,the extracted foreground target is often disturbed by background jittering,resulting the problems of target misjudgment,incomplete contour and so on.In this paper,we present a method to improve the integrity of foreground target extraction by combinin...

Full description

Saved in:
Bibliographic Details
Published inJi suan ji ke xue Vol. 49; p. 404
Main Authors Liu, Xin-fu, Jiang, Mu-rong, Huang, Ya-qun, Zhang, Zhan-wei, Zhou, Ying-ying
Format Journal Article
LanguageChinese
Published Chongqing Guojia Kexue Jishu Bu 01.01.2022
Subjects
Algorithms
Contours
Domains
Edge detection
Frames (data processing)
Image stabilizers
Integrity
Mathematical analysis
Moving targets
Optical flow (image analysis)
Stabilization
Statistical methods
Target detection
Tracking
Vibration
Online AccessGet full text

Cover

More Information
Summary:In target detection and tracking processing area,the extracted foreground target is often disturbed by background jittering,resulting the problems of target misjudgment,incomplete contour and so on.In this paper,we present a method to improve the integrity of foreground target extraction by combining image stabilization and frame supplement,and then using VIBE algorithm and connected domain correction.Firstly,the image of two adjacent frames is matched by ORB feature,and the wrong matching points are eliminated by RANSAC method.Then,the image margin is adjusted with the moving target as the center,and the non-coincident parts are cropped and repaired.The offset mean value of two adjacent frames is calculated by statistical method to achieve the purpose of video image stabilization.Secondly,the dense optical flow method is used to calculate the displacement of two adjacent frames,and then the intermediate frame is generated by position remapping and supplemented to make the video sequence more smooth and stabl
ISSN:1002-137X