A robust target tracking algorithm for FLIR imagery

Abstract

A robust target tracking algorithm is proposed to overcome a number of challenges often associated with the FLIR imagery. Several disjoint intermediate background models are used to form an accurate and dynamic representation of the current background. The signatures of moving targets are captured and enhanced through a set of image filters, while the next movements of these targets are reasonably estimated using a set of kinematic predictors. By integrating the effective target detection method with the robust background modeling process, an excellent target tracking performance can be achieved.