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Xu et al., 2017 - Google Patents

Action recognition by saliency-based dense sampling

Xu et al., 2017

View PDF
Document ID
10737461346264477497
Author
Xu Z
Hu R
Chen J
Chen C
Chen H
Li H
Sun Q
Publication year
Publication venue
Neurocomputing

External Links

Snippet

Action recognition, aiming to automatically classify actions from a series of observations, has attracted more attention in the computer vision community. The state-of-the-art action recognition methods utilize dense sampled trajectories to build feature representations …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
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