|Title||Interaction analysis through fuzzy temporal logic : Extensions for clustering and parameter learning|
|Author(s)||Ijsselmuiden, Joris; Dornheim, Johannes|
|Source||In: AVSS 2015 - 12th IEEE International Conference on Advanced Video and Signal Based Surveillance. - Institute of Electrical and Electronics Engineers Inc. - ISBN 9781467376327|
|Event||12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015, Karlsruhe, 2015-08-25/2015-08-28|
Farm Technology Group
|Publication type||Contribution in proceedings|
|Keyword(s)||Adaptation models - Clustering algorithms - Cognition - Measurement - Noise - Semantics - Spatiotemporal phenomena|
Interaction analysis is defined as the generation of semantic descriptions from machine perception. This can be achieved through a combination of fuzzy metric temporal logic (FMTL) and situation graph trees (SGTs). We extended the FMTL/SGT framework with modules for clustering and parameter learning and we showed their advantages. The contributions of this paper are 1) the combination of FMTL/SGT reasoning with a customized clustering algorithm, 2) a method for learning FMTL rule parameters, 3) a new FMTL/SGT model that implements some powerful fuzzy spatiotemporal concepts, and 4) evaluation of this system in a crisis response control room setting.