Hrvatska znanstvena bibliografija (CROSBI)

Pregled bibliografske jedinice broj: 646922


Autori: Bugarić, Marin; Jakovčević, Toni; Stipaničev, Darko
Naslov: Adaptive Estimation of Visual Smoke Detection Parameters Based on Spatial Data and Fire Risk Index
Izvornik: Computer vision and image understanding (1077-3142) 118 (2014); 184-196
Vrsta rada: članak
Ključne riječi: smoke detection; wildfire; GIS; augmented reality; image analysis
Standard wildfire smoke detection systems detect fires using remote cameras located at observation posts. Images from the cameras are analyzed using standard computer vision techniques, and human intervention is required only in situations in which the system raises an alarm. The number of alarms depends largely on manually set detection sensitivity parameters. One of the primary drawbacks of this approach is the false alarm rate, which impairs the usability of the system. In this paper, we present a novel approach using GIS and augmented reality to include the spatial and fire risk data of the observed scene. This information is used to improve the reliability of the existing systems through automatic parameter adjustment. For evaluation, three smoke detection methods were improved using this approach and compared to the standard versions. The results demonstrated significant improvement in different smoke detection aspects, including detection range, rate of correct detections and decrease in the false alarm rate.
Projekt / tema: 023-0232005-2003
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
URL Internet adrese:
Broj citata:
DOI: 10.1016/j.cviu.2013.10.003
URL cjelovitog teksta:
Google Scholar: Adaptive Estimation of Visual Smoke Detection Parameters Based on Spatial Data and Fire Risk Index
Upisao u CROSBI: Marin Bugarić (, 11. Lis. 2013. u 13:01 sati