An overview of action recognition in videos (CROSBI ID 653967)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Burić, Matija ; Pobar, Miran ; Ivašić-Kos, Marina
engleski
An overview of action recognition in videos
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.
Action recognition ; Feature extraction ; Videos ; Image recognition ; Semantics ; Trajectory
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Podaci o prilogu
1310-1315.
2017.
objavljeno
10.23919/MIPRO.2017.7973588
Podaci o matičnoj publikaciji
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Biljanović, Petar
Rijeka: Institute of Electrical and Electronics Engineers (IEEE)
978-953-233-090-8
Podaci o skupu
MIPRO 2017
predavanje
22.05.2017-26.05.2017
Opatija, Hrvatska
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo