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Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition

Human action recognition by means of subtensor projections and dense trajectories

Article ID Journal Published Year Pages File Type
6938862 Pattern Recognition 2018 37 Pages PDF
Abstract
Experiments on four different public datasets have shown that this technique improves IDTs performance and that the results outperform the ones obtained by most of the state-of-the-art techniques for action recognition.
Keywords
Action recognition
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
Preview
Human action recognition by means of subtensor projections and dense trajectories
Authors
Josep Maria Carmona, Joan Climent,
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Pattern Recognition
Journal: Pattern Recognition
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