Learning discriminative space-time actions from weakly labelled videos
Current state-of-the-art action classification methods extract feature representations from the entire video clip in which the action unfolds, however this representation may include irrelevant scene context and movements which are shared amongst multiple action classes. For example, a waving action...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
British Machine Vision Association and Society for Pattern Recognition
2012
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