Learning models of activities involving interacting objects

Cristina Manfredotti; Kim Steenstrup Pedersen; Howard J. Hamilton; Sandra Zilles

doi:10.1007/978-3-642-41398-8_25

Learning models of activities involving interacting objects

Cristina Manfredotti, Kim Steenstrup Pedersen, Howard J. Hamilton, Sandra Zilles

Datalogisk Institut

1 Citationer (Scopus)

53 Downloads (Pure)

Abstract

We propose the LEMAIO multi-layer framework, which makes use of hierarchical
abstraction to learn models for activities involving multiple interacting objects
from time sequences of data concerning the individual objects.
Experiments in the sea navigation domain yielded learned models that were then successfully applied to activity recognition, activity simulation and multi-target tracking. Our method compares favourably with respect to previously reported results using Hidden Markov Models and Relational Particle Filtering.

Originalsprog	Engelsk
Titel	Advances in Intelligent Data Analysis XII : 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings
Redaktører	Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift
Antal sider	13
Forlag	Springer
Publikationsdato	2013
Sider	285-297
ISBN (Trykt)	978-3-642-41397-1
ISBN (Elektronisk)	978-3-642-41398-8
DOI	https://doi.org/10.1007/978-3-642-41398-8_25
Status	Udgivet - 2013
Begivenhed	12th International Symposium on Advances in Intelligent Data Analysis - London, Storbritannien Varighed: 17 okt. 2013 → 19 okt. 2013 Konferencens nummer: 12

Konference

Konference	12th International Symposium on Advances in Intelligent Data Analysis
Nummer	12
Land/Område	Storbritannien
By	London
Periode	17/10/2013 → 19/10/2013

Navn	Lecture notes in computer science
Vol/bind	8207

Adgang til dokumentet

10.1007/978-3-642-41398-8_25

Learning models of activities involving interacting objectsAccepteret manuskript, 804 KBLicens: Andet

Citationsformater

Manfredotti, C., Pedersen, K. S., Hamilton, H. J., & Zilles, S. (2013). Learning models of activities involving interacting objects. I A. Tucker, F. Höppner, A. Siebes, & S. Swift (red.), Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings (s. 285-297). Springer. https://doi.org/10.1007/978-3-642-41398-8_25

Learning models of activities involving interacting objects. / Manfredotti, Cristina; Pedersen, Kim Steenstrup; Hamilton, Howard J. et al.
Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings. red. / Allan Tucker; Frank Höppner; Arno Siebes; Stephen Swift. Springer, 2013. s. 285-297 (Lecture notes in computer science, Bind 8207).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Manfredotti, C, Pedersen, KS, Hamilton, HJ & Zilles, S 2013, Learning models of activities involving interacting objects. i A Tucker, F Höppner, A Siebes & S Swift (red), Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings. Springer, Lecture notes in computer science, bind 8207, s. 285-297, 12th International Symposium on Advances in Intelligent Data Analysis, London, Storbritannien, 17/10/2013. https://doi.org/10.1007/978-3-642-41398-8_25

Manfredotti C, Pedersen KS, Hamilton HJ, Zilles S. Learning models of activities involving interacting objects. I Tucker A, Höppner F, Siebes A, Swift S, red., Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings. Springer. 2013. s. 285-297. (Lecture notes in computer science, Bind 8207). doi: 10.1007/978-3-642-41398-8_25

Manfredotti, Cristina ; Pedersen, Kim Steenstrup ; Hamilton, Howard J. et al. / Learning models of activities involving interacting objects. Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013, Proceedings. red. / Allan Tucker ; Frank Höppner ; Arno Siebes ; Stephen Swift. Springer, 2013. s. 285-297 (Lecture notes in computer science, Bind 8207).

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