Object detection in high resolution images based on multiscale and block processing

In the paper the algorithm for object detection in high resolution images is proposed. The approach uses multiscale image representation followed by block processing with the overlapping value. For each block the object detection with convolutional neural network was performed. Number of pyramid lay...

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Main Authors: R. P. Bohush, I. Yu. Zakharava, S. V. Ablameyko
Format: Article
Language:Russian
Published: The United Institute of Informatics Problems of the National Academy of Sciences of Belarus 2020-06-01
Series:Informatika
Subjects:
Online Access:https://inf.grid.by/jour/article/view/1056
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author R. P. Bohush
I. Yu. Zakharava
S. V. Ablameyko
author_facet R. P. Bohush
I. Yu. Zakharava
S. V. Ablameyko
author_sort R. P. Bohush
collection DOAJ
description In the paper the algorithm for object detection in high resolution images is proposed. The approach uses multiscale image representation followed by block processing with the overlapping value. For each block the object detection with convolutional neural network was performed. Number of pyramid layers is limited by the Convolutional Neural Network layer size and input image resolution. Overlapping blocks splitting to improve the classification and detection accuracy is performed on each layer of pyramid except the highest one. Detected areas are merged into one if they have high overlapping value and the same class. Experimental results for the algorithm are presented in the paper.
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spelling doaj.art-15037df4de9248b2b7f6161ade40a3ae2023-03-13T08:32:24ZrusThe United Institute of Informatics Problems of the National Academy of Sciences of BelarusInformatika1816-03012020-06-0117271610.37661/1816-0301-2020-17-2-7-16925Object detection in high resolution images based on multiscale and block processingR. P. Bohush0I. Yu. Zakharava1S. V. Ablameyko2Polotsk State UniversityPolotsk State UniversityBelarusian State University; The United Institute of Informatics Problems of the National Academy of Sciences of BelarusIn the paper the algorithm for object detection in high resolution images is proposed. The approach uses multiscale image representation followed by block processing with the overlapping value. For each block the object detection with convolutional neural network was performed. Number of pyramid layers is limited by the Convolutional Neural Network layer size and input image resolution. Overlapping blocks splitting to improve the classification and detection accuracy is performed on each layer of pyramid except the highest one. Detected areas are merged into one if they have high overlapping value and the same class. Experimental results for the algorithm are presented in the paper.https://inf.grid.by/jour/article/view/1056convolutional neural networkblock processing4к resolutionobject detectionmultiscale image representation
spellingShingle R. P. Bohush
I. Yu. Zakharava
S. V. Ablameyko
Object detection in high resolution images based on multiscale and block processing
Informatika
convolutional neural network
block processing
4к resolution
object detection
multiscale image representation
title Object detection in high resolution images based on multiscale and block processing
title_full Object detection in high resolution images based on multiscale and block processing
title_fullStr Object detection in high resolution images based on multiscale and block processing
title_full_unstemmed Object detection in high resolution images based on multiscale and block processing
title_short Object detection in high resolution images based on multiscale and block processing
title_sort object detection in high resolution images based on multiscale and block processing
topic convolutional neural network
block processing
4к resolution
object detection
multiscale image representation
url https://inf.grid.by/jour/article/view/1056
work_keys_str_mv AT rpbohush objectdetectioninhighresolutionimagesbasedonmultiscaleandblockprocessing
AT iyuzakharava objectdetectioninhighresolutionimagesbasedonmultiscaleandblockprocessing
AT svablameyko objectdetectioninhighresolutionimagesbasedonmultiscaleandblockprocessing