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https://elib.psu.by/handle/123456789/37303| Title: | Analysis of motion detection in video for early forest fire detection |
| Authors: | Avseenko, D. Bohush, R. |
| Issue Date: | 2015 |
| Publisher: | Полоцкий государственный университет |
| Citation: | Avseenko, 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. |
| Abstract: | Reliable 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. |
| URI: | https://elib.psu.by/handle/123456789/37303 |
| Appears in Collections: | European and National Dimension in Research. Technology. 2015 Машинное обучение. Обработкой изображений и видео. Интеллектуальные системы. Информационная безопасность |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| 126-128.pdf | 126.6 kB | Adobe PDF | View/Open |
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