dc.contributor.author |
Dabrowski, JJ
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|
dc.contributor.author |
De Villiers, JP
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|
dc.date.accessioned |
2017-08-22T13:11:24Z |
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dc.date.available |
2017-08-22T13:11:24Z |
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dc.date.issued |
2015-11 |
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dc.identifier.citation |
Dabrowski, J.J. and De Villiers, J.P. 2015. A unified model for context-based behavioural modelling and classification. Expert Systems with Applications, 42(19), pp 6738-6757 |
en_US |
dc.identifier.issn |
0957-4174 |
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dc.identifier.uri |
http://www.sciencedirect.com/science/article/pii/S0957417415003036
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dc.identifier.uri |
http://hdl.handle.net/10204/9476
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dc.description |
Copyright: Elsevier Publishing. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. |
en_US |
dc.description.abstract |
A unified Bayesian model that simultaneously performs behavioural modelling, information fusion and classification is presented. The model is expressed in the form of a dynamic Bayesian network (DBN). Behavioural modelling is performed by tracking the continuous dynamics of a entity and incorporating various contextual elements that influence behaviour. The entity is classified according to its behaviour. Classification is expressed as a conditional probability of the entity class given its tracked trajectory and the contextual elements. Inference in the DBN is performed using a derived Gaussian sum filter. The model is applied to classify vessels, according to their behaviour, in a maritime piracy situation. The novel aspects of this work include the unified approach to behaviour modelling and classification, the way in which contextual information is fused, the unique approach to classification according to behaviour and the associated derived Gaussian sum filter inference algorithm. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier |
en_US |
dc.relation.ispartofseries |
Worklist;16107 |
|
dc.subject |
Dynamic Bayesian network |
en_US |
dc.subject |
Switching linear dynamical system |
en_US |
dc.subject |
Information fusion |
en_US |
dc.subject |
Behaviour modelling |
en_US |
dc.subject |
Activity recognition |
en_US |
dc.subject |
Maritime piracy |
en_US |
dc.title |
A unified model for context-based behavioural modelling and classification. |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Dabrowski, J., & De Villiers, J. (2015). A unified model for context-based behavioural modelling and classification. http://hdl.handle.net/10204/9476 |
en_ZA |
dc.identifier.chicagocitation |
Dabrowski, JJ, and JP De Villiers "A unified model for context-based behavioural modelling and classification." (2015) http://hdl.handle.net/10204/9476 |
en_ZA |
dc.identifier.vancouvercitation |
Dabrowski J, De Villiers J. A unified model for context-based behavioural modelling and classification. 2015; http://hdl.handle.net/10204/9476. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Dabrowski, JJ
AU - De Villiers, JP
AB - A unified Bayesian model that simultaneously performs behavioural modelling, information fusion and classification is presented. The model is expressed in the form of a dynamic Bayesian network (DBN). Behavioural modelling is performed by tracking the continuous dynamics of a entity and incorporating various contextual elements that influence behaviour. The entity is classified according to its behaviour. Classification is expressed as a conditional probability of the entity class given its tracked trajectory and the contextual elements. Inference in the DBN is performed using a derived Gaussian sum filter. The model is applied to classify vessels, according to their behaviour, in a maritime piracy situation. The novel aspects of this work include the unified approach to behaviour modelling and classification, the way in which contextual information is fused, the unique approach to classification according to behaviour and the associated derived Gaussian sum filter inference algorithm.
DA - 2015-11
DB - ResearchSpace
DP - CSIR
KW - Dynamic Bayesian network
KW - Switching linear dynamical system
KW - Information fusion
KW - Behaviour modelling
KW - Activity recognition
KW - Maritime piracy
LK - https://researchspace.csir.co.za
PY - 2015
SM - 0957-4174
T1 - A unified model for context-based behavioural modelling and classification
TI - A unified model for context-based behavioural modelling and classification
UR - http://hdl.handle.net/10204/9476
ER -
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en_ZA |