Automatic aircraft extraction using video matting and frame registration

This study presents a technique to automatically extract the aircraft from video sequences. The technique incorporates object tracking algorithm to separate the region of interest (ROI), i.e. movement of aircraft, from video sequence, to reduce the computational complexity. Trimaps are generated aut...

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Published inIET image processing Vol. 14; no. 8; pp. 1628 - 1635
Main Authors Amin, Benish, Mohsin Riaz, Muhammad, Ghafoor, Abdul
Format Journal Article
LanguageEnglish
Published The Institution of Engineering and Technology 19.06.2020
Subjects
alpha mattes
automatic aircraft extraction
computational complexity
different videos
feature extraction
final alpha matte
given ROI
high quality alpha maps
image colour analysis
image processing
image registration
image segmentation
image sequences
KNN matting algorithm
medical image processing
nonrigid image registration
object detection
object tracking
object tracking algorithm
Research Article
static region
video matting
video sequence
video signal processing
image processing
video matting
object tracking algorithm
different videos
nonrigid image registration
alpha mattes
image registration
final alpha matte
video sequence
high quality alpha maps
object detection
given ROI
automatic aircraft extraction
feature extraction
image segmentation
KNN matting algorithm
object tracking
static region
image colour analysis
video signal processing
image sequences
medical image processing
computational complexity
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Abstract This study presents a technique to automatically extract the aircraft from video sequences. The technique incorporates object tracking algorithm to separate the region of interest (ROI), i.e. movement of aircraft, from video sequence, to reduce the computational complexity. Trimaps are generated automatically for given ROI using non-rigid image registration to obtain the prior information of the object and alpha mattes are estimated for each frame using KNN matting algorithm. However, the alpha matte of static region is estimated only once, that is combined with the alpha matte of moving region to generate final alpha matte. Simulations performed on different videos show that the proposed technique not only reduces the computational complexity, but also gives competitive results by generating high quality alpha maps.
AbstractList This study presents a technique to automatically extract the aircraft from video sequences. The technique incorporates object tracking algorithm to separate the region of interest (ROI), i.e. movement of aircraft, from video sequence, to reduce the computational complexity. Trimaps are generated automatically for given ROI using non‐rigid image registration to obtain the prior information of the object and alpha mattes are estimated for each frame using KNN matting algorithm. However, the alpha matte of static region is estimated only once, that is combined with the alpha matte of moving region to generate final alpha matte. Simulations performed on different videos show that the proposed technique not only reduces the computational complexity, but also gives competitive results by generating high quality alpha maps.
Author Amin, Benish
Mohsin Riaz, Muhammad
Ghafoor, Abdul
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  organization: 1National University of Sciences and Technology (NUST), Islamabad, Pakistan
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Issue 8
Keywords image processing
video matting
object tracking algorithm
different videos
nonrigid image registration
alpha mattes
image registration
final alpha matte
video sequence
high quality alpha maps
object detection
given ROI
automatic aircraft extraction
feature extraction
image segmentation
KNN matting algorithm
object tracking
static region
image colour analysis
video signal processing
image sequences
medical image processing
computational complexity
Language English
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Snippet This study presents a technique to automatically extract the aircraft from video sequences. The technique incorporates object tracking algorithm to separate...
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StartPage 1628
SubjectTerms alpha mattes
automatic aircraft extraction
computational complexity
different videos
feature extraction
final alpha matte
given ROI
high quality alpha maps
image colour analysis
image processing
image registration
image segmentation
image sequences
KNN matting algorithm
medical image processing
nonrigid image registration
object detection
object tracking
object tracking algorithm
Research Article
static region
video matting
video sequence
video signal processing
Title Automatic aircraft extraction using video matting and frame registration
URI http://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0067
https://onlinelibrary.wiley.com/doi/abs/10.1049%2Fiet-ipr.2019.0067
Volume 14
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