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Towards continuous activity monitoring with temporal constraints
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-3122-693X
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9652-7864
2009 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

This paper focuses on a temporal reasoning approach for human activity recognition. Specifically, we show how search and temporal propagation are used to enable long term and continuous activity recognition. Two specific issues are addressed, namely maintaining performance over long monitoring horizons and ensuring future temporal consistency of recognized activities. We propose a complete search algorithm for activity recognition which addresses these issues, in which an admissible pruning technique allows improved performance. We show a sufficient condition for guaranteeing future admissibility, and experimental results which test the limits and practical applicability of the system are presented.

Place, publisher, year, edition, pages
2009.
National Category
Computer Sciences Engineering and Technology
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-8482OAI: oai:DiVA.org:oru-8482DiVA: diva2:275917
Conference
4th Workshop on Planning and Plan Execution for Real-World Systems (at ICAPS-09), Thessaloniki, Greece
Available from: 2009-11-09 Created: 2009-11-09 Last updated: 2018-01-12Bibliographically approved

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Ullberg, JonasLoutfi, AmyPecora, Federico

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