Combining Spatio-Temporal Appearance Descriptors and Optical Flow for Human Action Recognition in Video Data (CROSBI ID 602516)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Brkić, Karla ; Rašić, Srđan ; Pinz, Axel ; Šegvić, Siniša ; Kalafatić, Zoran
engleski
Combining Spatio-Temporal Appearance Descriptors and Optical Flow for Human Action Recognition in Video Data
This paper proposes combining spatio-temporal ap- pearance (STA) descriptors with optical flow for human action recognition. The STA descriptors are local histogram-based descriptors of space-time, suitable for building a partial representation of arbitrary spatio-temporal phenomena. Because of the possibility of iterative refinement, they are interesting in the context of online human action recognition. We investigate the use of dense optical flow as the image function of the STA descriptor for human action recognition, using two different algorithms for computing the flow: the Farnebäck algorithm and the TV-L1 algorithm. We provide a detailed analysis of the influencing optical flow algorithm parameters on the produced optical flow fields. An extensive experimental validation of optical flow-based STA descriptors in human action recognition is performed on the KTH human action dataset. The encouraging experimental results suggest the potential of our approach in online human action recognition.
computer vision
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Podaci o prilogu
1-6.
2013.
objavljeno
Podaci o matičnoj publikaciji
CCVW 2013 Proceedings of the Croatian Computer Vision Workshop
Lončarić, Sven ; Šegvić, Siniša
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
1849-1227
Podaci o skupu
Croatian Computer Vision Workshop
predavanje
19.09.2013-19.09.2013
Zagreb, Hrvatska