AN ITERATIVE ALGORITHM OF OBJECT DETECTION IN VIDEO SEQUENCE BASED ON HISTOGRAM SPATIAL MEASURES

A fast iterative algorithm of object detection in video sequence is proposed. It is based on local histogram properties and SPSO adaptation to image singularities. The parameters of algorithm are defined in terms of detection efficiency and computational complexity.

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Bibliographic Details
Main Author: I. A. Baryskievic
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
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Online Access:https://doklady.bsuir.by/jour/article/view/155
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author I. A. Baryskievic
author_facet I. A. Baryskievic
author_sort I. A. Baryskievic
collection DOAJ
description A fast iterative algorithm of object detection in video sequence is proposed. It is based on local histogram properties and SPSO adaptation to image singularities. The parameters of algorithm are defined in terms of detection efficiency and computational complexity.
format Article
id doaj-art-3bed363c81c0400a8331c19ed1f201a3
institution DOAJ
issn 1729-7648
language Russian
publishDate 2019-06-01
publisher Educational institution «Belarusian State University of Informatics and Radioelectronics»
record_format Article
series Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
spelling doaj-art-3bed363c81c0400a8331c19ed1f201a32025-08-20T03:02:15ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01023844154AN ITERATIVE ALGORITHM OF OBJECT DETECTION IN VIDEO SEQUENCE BASED ON HISTOGRAM SPATIAL MEASURESI. A. Baryskievic0Белорусский государственный университет информатики и радиоэлектроникиA fast iterative algorithm of object detection in video sequence is proposed. It is based on local histogram properties and SPSO adaptation to image singularities. The parameters of algorithm are defined in terms of detection efficiency and computational complexity.https://doklady.bsuir.by/jour/article/view/155видеопоследовательностьглобальная оптимизациягистограммные метрикиобнаружение объектов
spellingShingle I. A. Baryskievic
AN ITERATIVE ALGORITHM OF OBJECT DETECTION IN VIDEO SEQUENCE BASED ON HISTOGRAM SPATIAL MEASURES
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
видеопоследовательность
глобальная оптимизация
гистограммные метрики
обнаружение объектов
title AN ITERATIVE ALGORITHM OF OBJECT DETECTION IN VIDEO SEQUENCE BASED ON HISTOGRAM SPATIAL MEASURES
title_full AN ITERATIVE ALGORITHM OF OBJECT DETECTION IN VIDEO SEQUENCE BASED ON HISTOGRAM SPATIAL MEASURES
title_fullStr AN ITERATIVE ALGORITHM OF OBJECT DETECTION IN VIDEO SEQUENCE BASED ON HISTOGRAM SPATIAL MEASURES
title_full_unstemmed AN ITERATIVE ALGORITHM OF OBJECT DETECTION IN VIDEO SEQUENCE BASED ON HISTOGRAM SPATIAL MEASURES
title_short AN ITERATIVE ALGORITHM OF OBJECT DETECTION IN VIDEO SEQUENCE BASED ON HISTOGRAM SPATIAL MEASURES
title_sort iterative algorithm of object detection in video sequence based on histogram spatial measures
topic видеопоследовательность
глобальная оптимизация
гистограммные метрики
обнаружение объектов
url https://doklady.bsuir.by/jour/article/view/155
work_keys_str_mv AT iabaryskievic aniterativealgorithmofobjectdetectioninvideosequencebasedonhistogramspatialmeasures
AT iabaryskievic iterativealgorithmofobjectdetectioninvideosequencebasedonhistogramspatialmeasures