Abstract
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 Tracking and Data Fusion. In this paper we primarily focus on the object tracking and data fusion modules.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bar-Shalom, Y., Li, X.: Multitarget-Multisensor Tracking: Principles and Techniques. YBS Publishing (1995)
Sullivan, G.D.: Visual interpretation of known objects in constrained scenes. Phil. Trans. R. Soc. Lon. Volume B 337, 361–370 (1992)
Wren, C.R., Azarbayejani, A., Darrell, T., Pentland, A.: Pfinder: Real-time tracking of the human body. IEEE Transactions on PAMI 19(7), 780–785 (1997)
Shi, J., Tomasi, C.: Good features to track. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 593–600 (1994)
Thirde, D., Borg, M., Valentin, V., Fusier, F., Aguilera, J., Ferryman, J., Brémond, F., Thonnat, M., Kampel, M.: Visual surveillance for aircraft activity monitoring. In: Proc. Joint IEEE Int. Workshop on VS-PETS, Beijing (2005)
Aguilera, J., Wildernauer, H., Kampel, M., Borg, M., Thirde, D., Ferryman, J.: Evaluation of motion segmentation quality for aircraft activity surveillances. In: Proc. Joint IEEE Int. Workshop on VS-PETS, Beijing (2005)
Horprasert, T., Harwood, D., Davis, L.: A statistical approach for real-time robust background subtraction and shadow detection. In: IEEE ICCV 1999 FRAME-RATE Workshop (1999)
Xu, G., Zhang, Z.: Epipolar Geometry in Stereo, Motion and Object Recognition: A Unified Approach. Kluwer Academic Publ., Dordrecht (1996)
Collins, R., Lipton, A., Kanade, T., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O., Burt, P., Wixson, L.: A system for video surveillance and monitoring. Tech. Report CMU-RI-TR-00-12 (2002)
Ferryman, J.M., Worrall, A.D., Maybank, S.J.: Learning enhanced 3d models for vehicle tracking. In: Proc. of the British Machine Vision Conference (1998)
Ohba, K., Ikeuchi, K.: Detectability, uniqueness, and reliability of eigen windows for stable verification of partially occluded objects. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(9), 1043–1048 (1997)
Thirde, D., Borg, M., Aguilera, J., Ferryman, J., Baker, K., Kampel, M.: Evaluation of object tracking for aircraft activity surveillance. In: Proc. Joint IEEE Int. Workshop on VS-PETS, Beijing (2005)
Black, J., Ellis, T.: Multi Camera Image Measurement and Correspondence. Measurement - Journal of the International Measurement Confederation 35(1), 61–71 (2002)
Black, J., Ellis, T., Rosin, P.: A Novel Method for Video Tracking Performance Evaluation. In: Joint IEEE Int. Workshop on VS-PETS, Nice, France, pp. 125–132 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Thirde, D., Borg, M., Ferryman, J., Aguilera, J., Kampel, M. (2005). Distributed Multi-camera Surveillance for Aircraft Servicing Operations. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds) Advances in Visual Computing. ISVC 2005. Lecture Notes in Computer Science, vol 3804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595755_15
Download citation
DOI: https://doi.org/10.1007/11595755_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30750-1
Online ISBN: 978-3-540-32284-9
eBook Packages: Computer ScienceComputer Science (R0)