DocumentCode :
3674406
Title :
Interaction analysis through fuzzy temporal logic: Extensions for clustering and parameter learning
Author :
Joris IJsselmuiden;Johannes Dornheim
Author_Institution :
Wageningen University, Farm Technology Group, The Netherlands
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
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.
Keywords :
"Cognition","Semantics","Clustering algorithms","Noise","Measurement","Adaptation models","Spatiotemporal phenomena"
Publisher :
ieee
Conference_Titel :
Advanced Video and Signal Based Surveillance (AVSS), 2015 12th IEEE International Conference on
Type :
conf
DOI :
10.1109/AVSS.2015.7301794
Filename :
7301794
Link To Document :
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