Automated Scene Understanding for Airport Aprons

Autor:	Florent Fusier, Francois Bremond, Valéry Valentin, James Ferryman, Josep Aguilera, Monique Thonnat, Martin Kampel, D. Thirde, Mark G. Borg
Rok vydání:	2005
Předmět:	business.industry Computer science Video tracking Interpretation (philosophy) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer vision Artificial intelligence Ontology (information science) business Dynamic Bayesian network Object detection
Zdroj:	AI 2005: Advances in Artificial Intelligence ISBN: 9783540304623 Australian Conference on Artificial Intelligence
DOI:	10.1007/11589990_62
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7e5002c2e83177d9f42d8684448167c2 https://doi.org/10.1007/11589990_62 Zobrazit plný text záznamu