Zobrazeno 1 - 10
of 24
pro vyhledávání: '"D. Thirde"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
EURASIP Journal on Advances in Signal Processing, Vol 2007, Iss 1, p 096568 (2007)
EURASIP Journal on Advances in Signal Processing, Vol 2007, Iss 1, p 096568 (2007)
This paper describes a real-time multi-camera surveillance system that can be applied to a range of application domains. This integrated system is designed to observe crowded scenes and has mechanisms to improve tracking of objects that are in close
Autor:
Mark G. Borg, D. Thirde, Monique Thonnat, Valéry Valentin, Florent Fusier, Francois Bremond, James Ferryman
Publikováno v:
AVSS
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
Autor:
F. Fusier, Martin Kampel, Francois Bremond, D. Thirde, James Ferryman, V. Valentin, Monique Thonnat, Mark G. Borg, Josep Aguilera
Publikováno v:
2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.
This paper presents a 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 t
Autor:
Monique Thonnat, Florent Fusier, Valéry Valentin, D. Thirde, Francois Bremond, Mark G. Borg, James Ferryman
Publikováno v:
ICVS
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
Autor:
Monique Thonnat, Valéry Valentin, D. Thirde, Florent Fusier, James Ferryman, Mark G. Borg, Francois Bremond
Publikováno v:
Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005..
This paper presents the approach taken to, and the results obtained for automatic scene interpretation of airport aprons based on a multi-camera video surveillance system. The scene tracking and scene understanding modules are described and results a
Publikováno v:
Advances in Visual Computing ISBN: 9783540307501
ISVC
ISVC
This paper presents the visual surveillance aspects of a distributed intelligent system that has been developed in the context of aircraft activity monitoring. The overall tracking system comprises three main modules — Motion Detection, Object Trac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e72e6336526bc8b979baa58d5389de2d
https://doi.org/10.1007/11595755_15
https://doi.org/10.1007/11595755_15
Publikováno v:
2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.
This paper presents the evaluation of an object tracking system that has been developed in the context of aircraft activity monitoring. The overall tracking system comprises three main modules - motion detection, object tracking and data fusion. In t
Autor:
Florent Fusier, Francois Bremond, Valéry Valentin, James Ferryman, Josep Aguilera, Monique Thonnat, Martin Kampel, D. Thirde, Mark G. Borg
Publikováno v:
AI 2005: Advances in Artificial Intelligence ISBN: 9783540304623
Australian Conference on Artificial Intelligence
Australian Conference on Artificial Intelligence
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,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e5002c2e83177d9f42d8684448167c2
https://doi.org/10.1007/11589990_62
https://doi.org/10.1007/11589990_62
Publikováno v:
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
Publikováno v:
BMVC
In a football stadium environment with multiple overhead floodlights, many protruding shadows can be observed originating from each of the targets. To successfully track individual targets, it is essential to achieve an accurate representation of the