DocumentCode :
2494349
Title :
Object detection and identification applied to planes and aircraft for airport surveillance
Author :
Robert-Inacio, F. ; Bussone, S. ; Chassaing, G. ; Maziere, Y.
Author_Institution :
CNRS, Inst. Mater., Microelectron. et Nanosci. de Provence
fYear :
2008
fDate :
26-28 Nov. 2008
Firstpage :
1
Lastpage :
6
Abstract :
For surveillance of an airport, it is obviously helpful to detect and identify planes and aircraft parked in each part of the tarmac to survey. A study has been achieved on a particular database and it has resulted in a classification of detected objects. The whole process includes an object detection stage, followed by a classification stage. The detection is set up on aerial views of the airport for different sampling steps. Then the classification stage sorts the detected objects into several families: small planes, jets, aircraft and so on. Experimental results are given in order to show the algorithm efficiency.
Keywords :
aerospace computing; airports; image classification; object detection; surveillance; aerial image; aircraft; airport surveillance; object classification; object detection; object identification; planes; Acoustic signal detection; Aircraft; Airports; Databases; Filters; Image sampling; Image segmentation; Labeling; Object detection; Surveillance; Object detection; aerial image; airport surveillance; object classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-3780-1
Electronic_ISBN :
978-1-4244-2583-9
Type :
conf
DOI :
10.1109/IVCNZ.2008.4762083
Filename :
4762083
Link To Document :
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