Kısa Ve Orta Mesafe Gece Yangını Tespiti
No Thumbnail Available
Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
BIP! Indicators
Impulse
Average
Influence
Average
Popularity
Average
Abstract
Computer vision methods used for night-time fire detection are limited. Existing works are for detection of distant night fires recorded from watch towers. In this paper, detection of short to mid-range night fires from video cameras are aimed. Flames in short distance flicker, grow and move more rapidly compared to ones in long distance. Features obtained by taking advantage of these distinctions let us detect fire over 90% accuracy on average in videos containing deceptive light sources like common city lights and headlights of vehicles. © 2017 Elsevier B.V., All rights reserved.
Description
Keywords
Majority Voting, Short to Mid-Range Night Fire, Svm, Video Based Fire Detection, Fire Detectors, Light Sources, Signal Processing, Video Cameras, Fire Detection, Majority Voting, Night Time, Fires
Turkish CoHE Thesis Center URL
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0201 civil engineering
Citation
WoS Q
N/A
Scopus Q
N/A
OpenCitations Citation Count
2
Source
-- 25th Signal Processing and Communications Applications Conference, SIU 2017 -- Antalya -- 128703
Volume
Issue
Start Page
1
End Page
4
PlumX Metrics
Citations
Scopus : 2
Captures
Mendeley Readers : 3
SCOPUS™ Citations
2
checked on Feb 03, 2026
Page Views
1
checked on Feb 03, 2026
Google Scholar™
