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Pregled bibliografske jedinice broj: 612306

Časopis

Autori: Jakovčević, Toni; Stipaničev, Darko; Krstinić, Damir
Naslov: Visual spatial-context based wildfire smoke sensor
Izvornik: Machine vision and applications (0932-8092) 24 (2013), 4; 707-719
Vrsta rada: članak
Ključne riječi: wildfire smoke detection ; forest fire smoke detection ; visual context ; fuzzy evaluation measures
Sažetak:
Sensors for early fire detection based on visual analysis have been under constant development and improvement, especially during the last decade. However, there is still a lot of room for advancement to increase the accuracy and reliability of such sensors. In this paper a novel method for wildfire smoke detection based on spatial context analysis as well as motion detection, chro- matic, texture and shape analysis is introduced. Several measures for eval- uating quality of smoke detection are used, both on image and pixel scale. Smoke is a semi-transparent and amorphous phenomenon whose boundaries are hard to determine precisely, therefore fuzzy measures are introduced for assessing the detection error. The proposed method is evaluated using the pro- posed measures and compared with two existing methods. The results show that the wildfire sensor based on proposed method is capable of detecting fire- smoke accurately and reliably, and in most detection aspects it outperforms the existing methods.
Projekt / tema: 023-0232005-2003
Izvorni jezik: ENG
Current Contents: DA
Citation Index: DA
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
Tiskani medij: da
URL Internet adrese: http://link.springer.com/article/10.1007/s00138-012-0481-x
Broj citata:
Altmetric:
DOI: 10.1007/s00138-012-0481-x
Google Scholar: Visual spatial-context based wildfire smoke sensor
Upisao u CROSBI: dstip@fesb.hr (dstip@fesb.hr), 16. Sij. 2013. u 11:53 sati



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