| dc.contributor.author | Agirman, Ahmet Kerim | |
| dc.contributor.author | Tasdemir, Kamm | |
| dc.date.accessioned | 2021-07-12T08:11:12Z | |
| dc.date.available | 2021-07-12T08:11:12Z | |
| dc.date.issued | 2017 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12573/856 | |
| dc.description.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. | en_US |
| dc.description.sponsorship | Turk Telekom; Arcelik A S; Aselsan; ARGENIT; HAVELSAN; NETAS; Adresgezgini; IEEE Turkey Sect; AVCR Informat Technologies; Cisco; i2i Syst; Integrated Syst & Syst Design; ENOVAS; FiGES Engn; MS Spektral; Istanbul Teknik Univ | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | IEEE345 E 47TH ST, NEW YORK, NY 10017 USA | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | majority voting | en_US |
| dc.subject | SVM | en_US |
| dc.subject | detection | en_US |
| dc.subject | video based fire | en_US |
| dc.subject | short to mid-range night fire | en_US |
| dc.title | Short to Mid-Range Night Fire Detection | en_US |
| dc.type | conferenceObject | en_US |
| dc.contributor.department | AGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümü | en_US |
| dc.relation.journal | 2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
