Please use this identifier to cite or link to this item: https://elib.psu.by/handle/123456789/37303
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dc.contributor.authorAvseenko, D.ru_RU
dc.contributor.authorBohush, R.ru_RU
dc.date.accessioned2023-01-12T07:57:40Z-
dc.date.available2023-01-12T07:57:40Z-
dc.date.issued2015
dc.identifier.citationAvseenko, D. Analysis of motion detection in video for early forest fire detection / D. Avseenko, R. Bohush // European and National Dimension in Research = Европейский и национальный контексты в научных исследованиях : electronic collected materials of IX Junior Researchers' Conference, Novopolotsk, April 29-30, 2015 : in 3 parts / Ministry of Education of Belarus, Polotsk State University ; ed. Dr. Dzmitry Lazouski [et al.]. - Novopolotsk : PSU, 2015. - Part 3 : Technology. - P. 126-128.ru_RU
dc.identifier.urihttps://elib.psu.by/handle/123456789/37303-
dc.description.abstractReliable and early detection of forest fire can significantly reduce the damage caused to forestry. Using of machine vision systems, namely video fire detectors, belongs to promising area forest fire recognition. Motion detection is the key step for smoke and flame monitoring in video. This document describes some methods of movement detection in video sequences, including comparative analysis of opportunities to find moving regions, their advantages and disadvantages.ru_RU
dc.language.isoenru_RU
dc.publisherПолоцкий государственный университетru_RU
dc.titleAnalysis of motion detection in video for early forest fire detectionru_RU
dc.typeArticleru_RU
dc.citation.spage126ru_RU
dc.citation.epage128ru_RU
Appears in Collections:European and National Dimension in Research. Technology. 2015
Машинное обучение. Обработкой изображений и видео. Интеллектуальные системы. Информационная безопасность

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