Abstract
In this paper, we review the recent trends and advancements in decision fusion based target tracking in FLIR image sequences. In particular, we discuss four target tracking algorithms and two data fusion algorithms that have been used for single/multiple target detection and tracking purposes. Each tracking algorithm utilizes various properties of targets and image frames of a given sequence. The data fusion algorithms employ complementary features of two or more of the above mentioned algorithms. The data fusion technique has been found to yield better performance compared to the alternate algorithms as shown by the test results obtained using real life FLIR image sequences.
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