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Abnormal Crowd Behaviour Recognition in Surveillance Videos


Matković, Franjo; Marčetić, Darijan; Ribarić, Slobodan
Abnormal Crowd Behaviour Recognition in Surveillance Videos // 2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) / Yetongnon, Kokou (ur.).
Los Alamitos, California: IEEE, 2019. str. 428-435 doi:10.1109/SITIS.2019.00075 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Abnormal Crowd Behaviour Recognition in Surveillance Videos

Autori
Matković, Franjo ; Marčetić, Darijan ; Ribarić, Slobodan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) / Yetongnon, Kokou - Los Alamitos, California : IEEE, 2019, 428-435

ISBN
978-1-7281-5686-6

Skup
2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

Mjesto i datum
Sorrento, Naples, Italy, 26-29.11.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Multi-person tracker, Crowd, Crowd behaviour recognition, Motion patterns, Fuzzy logic

Sažetak
The paper presents an approach to crowd behaviour recognition in surveillance videos. The approach is based on a 4-stage pipelined multi-person tracker adapted to microscopic crowd level representation and crowd behaviour recognition by the evaluation of fuzzy logic functions. The multiperson tracker combines a CNN-based detector and an optical flow-based tracker. The following tracker features are used: optical flow and histogram of optical flow orientation at the macroscopic level, and the tracklets and trajectories of a person and/or group of people at the microscopic level. The human interpretation of video sequences (real and/or video sequences obtained by simulators of crowds) is mapped into fuzzy logic predicates and fuzzy functions. Fuzzy logic predicates specify crowd motion patterns at the microscopic level for a person and/or group of people. They are building blocks of fuzzy logic functions which describe different scenarios of characteristic crowd behaviour. The preliminary results of three experiments for a runaway scenario show that the approach supports efficient and robust crowd behaviour recognition in surveillance videos.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2018-01-7619 - Pristup utemeljen na znanju za analizu mnoštva ljudi u nadzornim sustavima (Slobodan Ribarić, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Slobodan Ribarić (autor)

Avatar Url Darijan Marčetić (autor)

Citiraj ovu publikaciju

Matković, Franjo; Marčetić, Darijan; Ribarić, Slobodan
Abnormal Crowd Behaviour Recognition in Surveillance Videos // 2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) / Yetongnon, Kokou (ur.).
Los Alamitos, California: IEEE, 2019. str. 428-435 doi:10.1109/SITIS.2019.00075 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Matković, F., Marčetić, D. & Ribarić, S. (2019) Abnormal Crowd Behaviour Recognition in Surveillance Videos. U: Yetongnon, K. (ur.)2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) doi:10.1109/SITIS.2019.00075.
@article{article, editor = {Yetongnon, K.}, year = {2019}, pages = {428-435}, DOI = {10.1109/SITIS.2019.00075}, keywords = {Multi-person tracker, Crowd, Crowd behaviour recognition, Motion patterns, Fuzzy logic}, doi = {10.1109/SITIS.2019.00075}, isbn = {978-1-7281-5686-6}, title = {Abnormal Crowd Behaviour Recognition in Surveillance Videos}, keyword = {Multi-person tracker, Crowd, Crowd behaviour recognition, Motion patterns, Fuzzy logic}, publisher = {IEEE}, publisherplace = {Sorrento, Naples, Italy} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus


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