Pregled bibliografske jedinice broj: 1034022
Knowledge based adaptive expert system framework for tracking water polo players based on CommonKADS methodology
Knowledge based adaptive expert system framework for tracking water polo players based on CommonKADS methodology // ICENTE'19: 3th International Conference on Engineering Technologies: Proceedings / Saritas, Ismail ; Cunkas, Mehmet ; Basciftci, Fatih (ur.).
Konya: SN Bilgi Teknolojileri, 2019. str. 43-48 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1034022 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Knowledge based adaptive expert system
framework for tracking water polo players based
on CommonKADS methodology
Autori
Pleština, Vladimir ; Turić, Hrvoje
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
ICENTE'19: 3th International Conference on Engineering Technologies: Proceedings
/ Saritas, Ismail ; Cunkas, Mehmet ; Basciftci, Fatih - Konya : SN Bilgi Teknolojileri, 2019, 43-48
ISBN
978-605-68537-9-1
Skup
3th International Conference on Engineering Technologies (ICENTE 2019)
Mjesto i datum
Konya, Turska, 25.10.2019. - 27.10.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
expert system ; CommonKADS ; tracking players ; water polo ; computer vision
Sažetak
Tracking players in water sports is very challenging task. Previous papers are usually based on tracking algorithms and background modeling or players extraction. In this paper it is presented expert system framework application organized from different angle. All system is described through CommonKADS methodology and it can be applied by any algorithm. This methodology is implemented and evaluated on real water polo match.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Interdisciplinarne tehničke znanosti
POVEZANOST RADA
Ustanove:
Prirodoslovno-matematički fakultet, Split
