Pregled bibliografske jedinice broj: 798798
Video meteor detection filtering using soft computing methods
Video meteor detection filtering using soft computing methods // Proceedings of the International Meteor Conference / Rault, Jean-Louis ; Roggemans, Paul (ur.).
Mistelbach: The International Meteor Organization, 2015. str. 24-26 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 798798 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Video meteor detection filtering using soft computing methods
Autori
Silađi, Emil ; Vida, Denis ; Nyarko, Emmanuel Karlo
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Meteor Conference
/ Rault, Jean-Louis ; Roggemans, Paul - Mistelbach : The International Meteor Organization, 2015, 24-26
ISBN
978-2-87355-029-5
Skup
International Meteor Conference (IMC) 2015
Mjesto i datum
Mistelbach, Austrija, 27.08.2015. - 30.08.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
meteor detection; neural networks; support vector machines
Sažetak
In this paper we present the current progress and results from the filtering of Croatian Meteor Network video meteor detections using soft computing methods such as neural networks and support vector machines (SVMs). The goal is to minimize the number of false-positives while preserving the real meteor detections. This is achieved by pre-processing the data to extract meteor movement parameters and then recognizing patterns distinct to meteors. The input data format is fully compliant with the CAMS meteor data standard, and as such the proposed method could be utilized by other meteor networks of the similar kind.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Profili:
Emmanuel Karlo Nyarko
(autor)