A survey on temporal reasoning in artificial intelligence
AI Communications
Using JessTab to Integrate Protégé and Jess
IEEE Intelligent Systems
Jess in Action: Java Rule-Based Systems
Jess in Action: Java Rule-Based Systems
A Real-Time Scene Understanding System for Airport Apron Monitoring
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Evaluation and Knowledge Representation Formalisms to Improve Video Understanding
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Video understanding for complex activity recognition
Machine Vision and Applications
A Stochastic Grammar of Images
A Stochastic Grammar of Images
Navigating through logic-based scene models for high-level scene interpretations
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Ontology-based realtime activity monitoring using beam search
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
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In this paper, a novel architecture for high-level scene interpretation is introduced, which is based on the generation of rules from an OWL-DL ontology. It is shown that the object-centered structure of the ontology can be transformed into a rule-based system in a native and systematic way. Furthermore the integration of constraints - which are essential for scene interpretation - is demonstrated with a temporal constraint net, and it is shown how parallel computing of alternatives can be realised. First results are given using examples of airport activities.