USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION

USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION

In this paper, we propose an original method for objects detection based on a special tree-structured image representation – the trees of morphlets. The method provides robust detection of various types of objects in an image without employing a machine learning procedure. Along with a bounding box...

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Bibliographic Details
Main Authors: V. S. Gorbatsevich, Yu. V. Vizilter
Format: Article
Language:English
Published: Copernicus Publications 2016-06-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/859/2016/isprs-archives-XLI-B3-859-2016.pdf
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spelling doaj-060d8eadf24942ea8fcab390c87f6a412020-11-24T22:01:13ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B385986210.5194/isprs-archives-XLI-B3-859-2016USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTIONV. S. Gorbatsevich0Yu. V. Vizilter1State Research Institute of Aviation Systems (GosNIIAS), 125319, 7, Viktorenko str., Moscow, RussiaState Research Institute of Aviation Systems (GosNIIAS), 125319, 7, Viktorenko str., Moscow, RussiaIn this paper, we propose an original method for objects detection based on a special tree-structured image representation – the trees of morphlets. The method provides robust detection of various types of objects in an image without employing a machine learning procedure. Along with a bounding box creation on a detection step, the method makes pre-segmentation, which can be further used for recognition purposes. Another important feature of the proposed approach is that there are no needs to use a running window as well as a features pyramid in order to detect the objects of different sizes.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/859/2016/isprs-archives-XLI-B3-859-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author V. S. Gorbatsevich
Yu. V. Vizilter
spellingShingle V. S. Gorbatsevich
Yu. V. Vizilter
USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet V. S. Gorbatsevich
Yu. V. Vizilter
author_sort V. S. Gorbatsevich
title USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION
title_short USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION
title_full USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION
title_fullStr USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION
title_full_unstemmed USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION
title_sort using morphlet-based image representation for object detection
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2016-06-01
description In this paper, we propose an original method for objects detection based on a special tree-structured image representation – the trees of morphlets. The method provides robust detection of various types of objects in an image without employing a machine learning procedure. Along with a bounding box creation on a detection step, the method makes pre-segmentation, which can be further used for recognition purposes. Another important feature of the proposed approach is that there are no needs to use a running window as well as a features pyramid in order to detect the objects of different sizes.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/859/2016/isprs-archives-XLI-B3-859-2016.pdf
work_keys_str_mv AT vsgorbatsevich usingmorphletbasedimagerepresentationforobjectdetection
AT yuvvizilter usingmorphletbasedimagerepresentationforobjectdetection
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