Conference item
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 methods, we solve the linking, action labelling and temporal localization problems jointly in a single pass. We demonstrate superior online association accuracy and speed (1.8ms per frame) as compared to the current state-of-the-art offline and online systems.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 358.3KB, Terms of use)
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(Preview, Version of record, pdf, 3.0MB, Terms of use)
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Authors
- Publisher:
- British Machine Vision Association
- Host title:
- 29th British Machine Vision Conference (BMVC 2018)
- Journal:
- British Machine Vision Conference (BMVC 2018) More from this journal
- Publication date:
- 2018-01-01
- Acceptance date:
- 2018-07-06
- Pubs id:
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pubs:936522
- UUID:
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uuid:90a5ba63-6260-43e3-a1ae-3932b56540f5
- Local pid:
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pubs:936522
- Source identifiers:
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936522
- Deposit date:
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2018-11-02
- ARK identifier:
Terms of use
- Copyright holder:
- Harkirat et al
- Copyright date:
- 2018
- Notes:
-
© 2018. The copyright of this document resides with its authors.
It may be distributed unchanged freely in print or electronic forms.
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