Pregled bibliografske jedinice broj: 1022910
A Fuzzy Logic-based Approach to Detection of Abnormal Crowd Behaviour
A Fuzzy Logic-based Approach to Detection of Abnormal Crowd Behaviour // Proceedings ELMAR-2019 / Muštra, Mario ; Vuković, Josip ; Zovko-Cihlar, Branka (ur.).
Zadar: Hrvatsko društvo Elektronika u pomorstvu (ELMAR), 2019. str. 143-146 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1022910 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A Fuzzy Logic-based Approach to Detection of Abnormal Crowd Behaviour
Autori
Marčetić, Darijan ; Ribarić, Slobodan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings ELMAR-2019
/ Muštra, Mario ; Vuković, Josip ; Zovko-Cihlar, Branka - Zadar : Hrvatsko društvo Elektronika u pomorstvu (ELMAR), 2019, 143-146
ISBN
978-1-7281-2182-6
Skup
61st International Symposium Electronics in Marine (ELMAR 2019)
Mjesto i datum
Zadar, Hrvatska, 23.09.2019. - 25.09.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Crowd ; Crowd behaviour ; Fuzzy logic ; Common-sense knowledge
Sažetak
The paper presents an approach to detection of abnormal crowd behaviour at microscopic level. The characteristic individual and group motion patterns are specified with fuzzy predicates. The human interpretation of video sequences of abnormal crowd behaviour, based on common-sense knowledge, is mapped into fuzzy logic functions. Based on the evaluation of these functions, the abnormal crowd behaviour is detected. The usability of the proposed approach is tested on video sequences with ground truth annotations. The preliminary experimental results showed that the approach supports an efficient representation of expert knowledge and detection of anomaly crowd behaviour.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
Napomena
IEEE Catalog Number:CFP19825-PRT
POVEZANOST RADA
Projekti:
HRZZ-IP-2018-01-7619 - Pristup utemeljen na znanju za analizu mnoštva ljudi u nadzornim sustavima (KACAVIS) (Ribarić, Slobodan, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus