Pregled bibliografske jedinice broj: 901612
An overview of action recognition in videos
An overview of action recognition in videos // 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) / Biljanović, Petar (ur.).
Rijeka: Institute of Electrical and Electronics Engineers (IEEE), 2017. str. 1310-1315 doi:10.23919/MIPRO.2017.7973588 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 901612 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An overview of action recognition in videos
Autori
Burić, Matija ; Pobar, Miran ; Ivašić-Kos, Marina
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
/ Biljanović, Petar - Rijeka : Institute of Electrical and Electronics Engineers (IEEE), 2017, 1310-1315
ISBN
978-953-233-090-8
Skup
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Mjesto i datum
Opatija, Hrvatska, 22.05.2017. - 26.05.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Action recognition ; Feature extraction ; Videos ; Image recognition ; Semantics ; Trajectory
Sažetak
Action recognition in videos is currently in the focus of scientific research due to improvements made in automatic analysis of static images and greater availability of processing power. The paper provides an overview of the key models and methods for action recognition that comprise human models and methods based on estimation of joint trajectories, silhouettes and template matching and spatio-temporal local descriptors. To deal with compound actions and activities, action semantic models are proposed with help of expert knowledge. Since the action recognition task is domain dependent, the methods and models are built and tested on domain specific databases. The paper provides an overview and description of recent video datasets that were created for developing action recognition methods, with an emphasis on datasets with additional modalities such as depth images or accelerometer data.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
HRZZ-IP-2016-06-8345 - Automatsko raspoznavanje akcija i aktivnosti u multimedijalnom sadržaju iz domene sporta (RAASS) (Ivašić Kos, Marina, HRZZ - 2016-06) ( CroRIS)
Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus