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Temporal segmentation of human actions in video sequences

Author
Carmona, J. M.; Climent, J.; Carmona, J.M.
Type of activity
Presentation of work at congresses
Name of edition
Intelligent Systems Conference 2017
Date of publication
2017
Presentation's date
2017-09-08
Book of congress proceedings
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2017
First page
786
Last page
790
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/IntelliSys.2017.8324220 Open in new window
Repository
http://hdl.handle.net/2117/116221 Open in new window
URL
http://ieeexplore.ieee.org/document/8324220/ Open in new window
Abstract
Most of the published works concerning action recognition, usually assume that the action sequences have been previously segmented in time, that is, the action to be recognized starts with the first sequence frame and ends with the last one. However, temporal segmentation of actions in sequences is not an easy task, and is always prone to errors. In this paper, we present a new technique to automatically extract human actions from a video sequence. Our approach presents several contributions. Fi...
Citation
Carmona, J. M., Climent, J. Temporal segmentation of human actions in video sequences. A: Intelligent Systems Conference. "Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2017". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 786-790.
Keywords
Action recognition, Action segmentation, Action sequences, Image recognition, Pyramid Histogram of Visual Words (PHOW), R transform, R transforms, Spatio temporal features, State-of-the-art methods, Statistical tests, Temporal segmentation Intelligent systems, Temporal segmentations, Video recording, Visual word
Group of research
VIS - Artificial Vision and Intelligent Systems

Participants

Attachments