Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 750443

Computer Vision Based Measurement of Wildfire Smoke Dynamics


Bugarić, Marin; Jakovčević, Toni; Stipaničev, Darko
Computer Vision Based Measurement of Wildfire Smoke Dynamics // Advances in Electrical and Computer Engineering, 15 (2015), 1; 55-62 doi:10.4316/AECE.2015.01008 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 750443 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Computer Vision Based Measurement of Wildfire Smoke Dynamics

Autori
Bugarić, Marin ; Jakovčević, Toni ; Stipaničev, Darko

Izvornik
Advances in Electrical and Computer Engineering (1582-7445) 15 (2015), 1; 55-62

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Image motion analysis; Computer vision; Computer aided analysis; Virtual reality; Pattern analysis

Sažetak
This article presents a novel method for measurement of wildfire smoke dynamics based on computer vision and augmented reality techniques. The aspect of smoke dynamics is an important feature in video smoke detection that could distinguish smoke from visually similar phenomena. However, most of the existing smoke detection systems are not capable of measuring the real-world size of the detected smoke regions. Using computer vision and GIS-based augmented reality, we measure the real dimensions of smoke plumes, and observe the change in size over time. The measurements are performed on offline video data with known camera parameters and location. The observed data is analyzed in order to create a classifier that could be used to eliminate certain categories of false alarms induced by phenomena with different dynamics than smoke. We carried out an offline evaluation where we measured the improvement in the detection process achieved using the proposed smoke dynamics characteristics. The results show a significant increase in algorithm performance, especially in terms of reducing false alarms rate. From this it follows that the proposed method for measurement of smoke dynamics could be used to improve existing smoke detection algorithms, or taken into account when designing new ones.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Toni Jakovčević (autor)

Avatar Url Marin Bugarić (autor)

Avatar Url Darko Stipaničev (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Bugarić, Marin; Jakovčević, Toni; Stipaničev, Darko
Computer Vision Based Measurement of Wildfire Smoke Dynamics // Advances in Electrical and Computer Engineering, 15 (2015), 1; 55-62 doi:10.4316/AECE.2015.01008 (međunarodna recenzija, članak, znanstveni)
Bugarić, M., Jakovčević, T. & Stipaničev, D. (2015) Computer Vision Based Measurement of Wildfire Smoke Dynamics. Advances in Electrical and Computer Engineering, 15 (1), 55-62 doi:10.4316/AECE.2015.01008.
@article{article, year = {2015}, pages = {55-62}, DOI = {10.4316/AECE.2015.01008}, keywords = {Image motion analysis, Computer vision, Computer aided analysis, Virtual reality, Pattern analysis}, journal = {Advances in Electrical and Computer Engineering}, doi = {10.4316/AECE.2015.01008}, volume = {15}, number = {1}, issn = {1582-7445}, title = {Computer Vision Based Measurement of Wildfire Smoke Dynamics}, keyword = {Image motion analysis, Computer vision, Computer aided analysis, Virtual reality, Pattern analysis} }
@article{article, year = {2015}, pages = {55-62}, DOI = {10.4316/AECE.2015.01008}, keywords = {Image motion analysis, Computer vision, Computer aided analysis, Virtual reality, Pattern analysis}, journal = {Advances in Electrical and Computer Engineering}, doi = {10.4316/AECE.2015.01008}, volume = {15}, number = {1}, issn = {1582-7445}, title = {Computer Vision Based Measurement of Wildfire Smoke Dynamics}, keyword = {Image motion analysis, Computer vision, Computer aided analysis, Virtual reality, Pattern analysis} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font