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Incremental tube construction for human action detection

Abstract:

Current state-of-the-art action detection systems are tailored for offline batch-processing applications. However, for online applications like human-robot interaction, current systems fall short. In this work, we introduce a real-time and online joint-labelling and association algorithm for action detection that can incrementally construct space-time action tubes on the most challenging untrimmed action videos in which different action categories occur concurrently. In contrast to previous m...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
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Publisher:
British Machine Vision Association Publisher's website
Journal:
British Machine Vision Conference (BMVC 2018) Journal website
Host title:
29th British Machine Vision Conference (BMVC 2018)
Publication date:
2018-01-01
Acceptance date:
2018-07-06
Source identifiers:
936522
Pubs id:
pubs:936522
UUID:
uuid:90a5ba63-6260-43e3-a1ae-3932b56540f5
Local pid:
pubs:936522
Deposit date:
2018-11-02

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