High-Level Expectations for Low-Level Image Processing
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Generation of Rules from Ontologies for High-Level Scene Interpretation
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
Behaviour monitoring and interpretation: a computational approach to ethology
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Beyond physical product configuration --Configuration in unusual domains
AI Communications - Intelligent Engineering Techniques for Knowledge Bases
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This paper presents a distributed multi-camera visual surveillance system for automatic scene interpretation of airport aprons. The system comprises two main modules Scene Tracking and Scene Understanding. The Scene Tracking module is responsible for detecting, tracking and classifying the objects on the apron. The Scene Understanding module performs high level interpretation of the apron activities by applying cognitive spatio-temporal reasoning. The performance of the complete system is demonstrated for a range of representative test scenarios.