LiU Electronic Press
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Author:
Heintz, Fredrik (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Rudol, Piotr (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Doherty, Patrick (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Title:
From Images to Traffic Behavior - A UAV Tracking and Monitoring Application
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper (Refereed)
Language:
English
In:
Proceedings of the 10th International Conference on Information Fusion (FUSION)
Conference:
The 10th International Conference on Information Fusion (FUSION), 9-12 July, Québec, Canada
Publisher: IEEE conference proceedings
Year of publ.:
2007
URI:
urn:nbn:se:liu:diva-40855
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-40855
ISBN:
978-0-662-45804-3, 978-0-662-47830-0
Local ID:
54316
Subject category:
Computer Science
SVEP category:
Computer science
Keywords(en) :
knowledge representation, information fusion, ai
Abstract(en) :

An implemented system for achieving high level situation awareness about traffic situations in an urban area is described. It takes as input sequences of color and thermal images which are used to construct and maintain qualitative object structures and to recognize the traffic behavior of the tracked vehicles in real time. The system is tested both in simulation and on data collected during test flights. To facilitate the signal to symbol transformation and the easy integration of the streams of data from the sensors with the GIS and the chronicle recognition system, DyKnow, a stream-based knowledge processing middleware, is used. It handles the processing of streams, including the temporal aspects of merging and synchronizing streams, and provides suitable abstractions to allow high level reasoning and narrow the sense reasoning gap.

Available from:
2009-10-10
Created:
2009-10-10
Last updated:
2011-11-28
Statistics:
28 hits