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Xiang et al., 2016 - Google Patents

Action recognition for videos by long-term point trajectory analysis with background removal

Xiang et al., 2016

Document ID
16471855132988607444
Author
Xiang Y
Okada Y
Kaneko K
Publication year
Publication venue
2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

External Links

Snippet

Recently, dense trajectories were shown to be an efficient video motion representation for action recognition and achieved state-of-the-art results on a variety of video datasets. This paper improves their performance by taking into account camera motion. To estimate …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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