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- W854522590 abstract "Although the methods based on spatio-temporal interest points have shown promising results for human action recognition, they are not robust in complex scenes especially background clutter, camera motion, occlusions and illumination variations. In this paper, we propose a novel method to classify human actions in complex scenes. We suppress the false detection interest points by detecting salient regions. Furthermore, we encode the features according to their spatio-temporal relationship. Our method is verified on two challenging databases (UCF sports and YouTube), and the experimental results demonstrate that our method achieves better results than previous methods in human action recognition." @default.
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- W854522590 date "2015-01-01" @default.
- W854522590 modified "2023-10-05" @default.
- W854522590 title "Human Action Recognition using Salient Region Detection in Complex Scenes" @default.
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- W854522590 doi "https://doi.org/10.1007/978-3-319-08991-1_58" @default.
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