Target tracking in infrared imagery using weighted composite reference function-based decision fusion

In this paper, we propose a novel decision fusion algorithm for target tracking in forward-looking infrared image sequences recorded from an airborne platform. An important part of this study is identifying the failure modes in this type of imagery. Our strategy is to prevent these failure modes from developing into tracking failures. The results furnished by competing ego-motion compensation and tracking algorithms are evaluated based on their similarity to a target model constructed using the weighted composite reference function.

[1]  Mohammad A. Karim,et al.  Multiple target detection using a modified fringe-adjusted joint transform correlator , 1994 .

[2]  Mubarak Shah,et al.  Target tracking in airborne forward looking infrared imagery , 2003, Image Vis. Comput..

[3]  Abdullah Bal,et al.  Automatic target tracking in FLIR image sequences , 2004, SPIE Defense + Commercial Sensing.

[4]  Nasser M. Nasrabadi,et al.  Automatic target recognition using a feature-decomposition and data-decomposition modular neural network , 1998, IEEE Trans. Image Process..

[5]  A. Murat Tekalp,et al.  Fusion of color and edge information for improved segmentation and edge linking , 1997, Image Vis. Comput..

[6]  Jake K. Aggarwal,et al.  MODEEP: a motion-based object detection and pose estimation method for airborne FLIR sequences , 2000, Machine Vision and Applications.

[7]  Edward H. Adelson,et al.  The Design and Use of Steerable Filters , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Lawrence Carin,et al.  Infrared-Image Classification Using Hidden Markov Trees , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Mohammad S. Alam,et al.  Invariant object tracking using fringe-adjusted joint transform correlator , 2004 .

[10]  Michael I. Miller,et al.  Information measures for object recognition accommodating signature variability , 2000, IEEE Trans. Inf. Theory.

[11]  J. Aggarwal,et al.  Detecting moving objects in airborne forward looking infra-red sequences , 1999, Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS'99).