Dense Trajectories and Motion Boundary Descriptors for Action Recognition

This paper introduces a video representation based on dense trajectories and motion boundary descriptors. Trajectories capture the local motion information of the video. A dense representation guarantees a good coverage of foreground motion as well as of the surrounding context. A state-of-the-art o...

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Vydané v:	International journal of computer vision Ročník 103; číslo 1; s. 60 - 79
Hlavní autori:	Wang, Heng, Kläser, Alexander, Schmid, Cordelia, Liu, Cheng-Lin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Boston Springer US 01.05.2013 Springer Springer Nature B.V Springer Verlag
Predmet:	Algorithms Analysis Applied sciences Artificial Intelligence Boundaries Cameras Classification Computer Imaging Computer Science Computer science; control theory; systems Computer Vision and Pattern Recognition Datasets Exact sciences and technology Histograms Image Processing and Computer Vision Image processing systems Pattern Recognition Pattern Recognition and Graphics Pattern recognition. Digital image processing. Computational geometry Recognition Representations Sensors Spacetime State of the art Studies Trajectories Vision Vision systems Action recognition Motion boundary histograms Dense trajectories Multimedia Computer vision Action Histogram Motion estimation Point shape Video signal Mobility Sport Behavioral analysis Scene analysis Classification Object detection Trajectory Web site Pattern extraction Optical flow
ISSN:	0920-5691, 1573-1405
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