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Target Detection through Robust Motion Segmentation and Tracking Restrictions in Aerial FLIR images

Blanco Adán, Carlos Roberto del and Jaureguizar Núñez, Fernando and Salgado Álvarez de Sotomayor, Luis and García Santos, Narciso (2007) Target Detection through Robust Motion Segmentation and Tracking Restrictions in Aerial FLIR images. In: IEEE International Conference on Image Processing, 2007. ICIP 2007, 16-19 Sept. 2007, San Antonio, Texas, Estados Unidos.

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Item Type:Presentation at Congress or Day (Article)
Authors/Creators:
Creators NameCreators email (if known)
Blanco Adán, Carlos Roberto delcda@gti.ssr.upm.es
Jaureguizar Núñez, Fernandofjn@gti.ssr.upm.es
Salgado Álvarez de Sotomayor, Luislsa@gti.ssr.upm.es
García Santos, Narciso
Title:Target Detection through Robust Motion Segmentation and Tracking Restrictions in Aerial FLIR images
Event Title:IEEE International Conference on Image Processing, 2007. ICIP 2007
Event Dates:16-19 Sept. 2007
Event Location:San Antonio, Texas, Estados Unidos
Title of Book:Proc. of ICIP 2007
Publisher:IEEE
Date:16 September 2007
ISBN:978-1-4244-1437-6
Volume:5
Department:Signals, Systems and Radiocommunications
Faculty:E.T.S.I. Telecommunication (UPM)
Creative Commons licenses:Recognition - No derivative works - No commercial
Item ID:875
Subjects:Telecommunications

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Official URL: http://www.ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4379738&arnumber=4379861&count=148&index=122

Abstract

An efficient automatic moving target detection and tracking system in airborne forward looking infrared (FLIR) imagery is presented in this paper. Due to camera ego-motion, these detection and tracking tasks are challenging problems. Besides, previously proposed techniques are not suitable for aerial images, as the predominant regions are non-textured. The proposed system efficiently estimates not only the camera motion but also the target motion, by means of an accurate motion vector field computation and robust motion parameters estimation technique. This information allows accurately to segment each target, and tracking them with ego-motion compensation. Verification of tracking restrictions helps detecting true targets while reducing very significantly the false alarm rate. Excellent results have been obtained over real FLIR sequences.

Item Type:Presentation at Congress or Day (Article)
Uncontrolled Keywords:motion segmentation, robust motion estimation, ego-motion compensation, trajectory restrictions, FLIR images
Subjects:Telecommunications
Código ID:875
Depositado Por:Doctor Carlos Roberto del Blanco Adán
Depositado el:25 Feb 2008
Last Modified:22 Jul 2010 11:04

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