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Abstract. This paper presents a complete 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 semantic objects within the scene using computer vision. The Scene Understanding module performs high level interpretation of the observed objects by detecting video events using cognitive vision techniques based on spatio-temporal reasoning. The performance of the system is evaluated for a series of pre-defined video events specified using a video event ontology.

Abstract. This paper presents a distributed multi-camera visual surveillance system for automatic scene interpretation of airport aprons. The system comprises camera based tracking and classification of objects followed by sensor fusion and high level interpretation based on cognitive spatio-temporal reasoning. The performance of the system is demonstrated for a range of test scenarios.

Abstract-This paper presents a complete visual surveillance system for the automatic scene interpretation of airport aprons. The system comprises two modules -Scene Tracking and Scene Understanding. The Scene Tracking module, comprising a bottom-up methodology, and the Scene Understanding module, comprising a video event representation and recognition scheme, have been demonstated to be a valid approach for apron monitoring.