TARGET-TRACKING IN FLIR IMAGERY USING MEAN-SHIFT AND GLOBAL MOTION COMPENSATION

In this paper , we presenta new approachfor tracking targetsin forward-lookinginfrared(FLIR) imagerytakenfrom anairborne,moving platform. Our trackingapproachuses thetargetintensityandtheGaborresponsedistributionsand computesa likelihoodmeasurebetweenthe candidateand themodeldistributionsby evaluatingtheMeanShift Vector. When the Mean Shift Vector basedtracker fails to locate the targetdueto largeego motion,we compensatethe ego motionusingamulti-resolutionscheme, whichemploysthe Gaborresponsesof two consecuti ve frames,andassumesa pseudo-perspecti ve motion model. We presentthe experimentsperformedon anAMCOM FLIR datasetof theproposedtrackingalgorithm.

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