Uncertainty mesurement in video and infrared cameras system

Video and infrared cameras can be used in a variety of applications for measurements and recognitions. But these entire situations are affected by different degrees of uncertainty. In order to evaluate this uncertainty we propose a new method of mesurement based on fuzzy similarity. From two independent systems based on video and respectively on infrared cameras, two uncertainty evaluations are obtained. Based on these data, an information fusion is performed, taking in consideration the complementary behavior in time of the systems. The final result is proved to outperform each of the independently taken uncertainty measurements.