Automatic aerial target detection and tracking system in airborne FLIR images based on efficient target trajectory filtering

Blanco Adán, Carlos Roberto del and Jaureguizar Núñez, Fernando and Salgado Álvarez de Sotomayor, Luis and García Santos, Narciso (2007). Automatic aerial target detection and tracking system in airborne FLIR images based on efficient target trajectory filtering. In: "Proc. of SPIE. Automatic Target Recognition XVII", 9 - 13 Abril 2007, Orlando. ISBN DOI: 10.1117/12.718582.

Description

Title: Automatic aerial target detection and tracking system in airborne FLIR images based on efficient target trajectory filtering
Author/s:
  • Blanco Adán, Carlos Roberto del
  • Jaureguizar Núñez, Fernando
  • Salgado Álvarez de Sotomayor, Luis
  • García Santos, Narciso
Item Type: Presentation at Congress or Conference (Article)
Event Title: Proc. of SPIE. Automatic Target Recognition XVII
Event Dates: 9 - 13 Abril 2007
Event Location: Orlando
Title of Book: Automatic aerial target detection and tracking system in airborne FLIR images based on efficient target trajectory filtering
Date: April 2007
ISBN: DOI: 10.1117/12.718582
Volume: Volume
Subjects:
Freetext Keywords: Target Detection, Tracking, FLIR images, Trajectory Analysis, Ego-motion
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works

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Abstract

Common strategies for detection and tracking of aerial moving targets in airborne Forward-Looking Infrared (FLIR) images offer accurate results in images composed by a non-textured sky. However, when cloud and earth regions appear in the image sequence, those strategies result in an over-detection that increases very significantly the false alarm rate. Besides, the airborne camera induces a global motion in the image sequence that complicates even more detection and tracking tasks. In this work, an automatic detection and tracking system with an innovative and efficient target trajectory filtering is presented. It robustly compensates the global motion to accurately detect and track potential aerial targets. Their trajectories are analyzed by a curve fitting technique to reliably validate real targets. This strategy allows to filter false targets with stationary or erratic trajectories. The proposed system makes special emphasis in the use of low complexity video analysis techniques to achieve real-time operation. Experimental results using real FLIR sequences show a dramatic reduction of the false alarm rate, while maintaining the detection rate.

More information

Item ID: 855
DC Identifier: http://oa.upm.es/855/
OAI Identifier: oai:oa.upm.es:855
Deposited by: Doctor Carlos Roberto del Blanco Adán
Deposited on: 11 Feb 2008
Last Modified: 20 Apr 2016 06:33
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