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...

Full description

Saved in:

Bibliographic Details
Published in:	International journal of computer vision Vol. 103; no. 1; pp. 60 - 79
Main Authors:	Wang, Heng, Kläser, Alexander, Schmid, Cordelia, Liu, Cheng-Lin
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.05.2013 Springer Springer Nature B.V Springer Verlag
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!