Video and Infrared Cameras Localization Method using Information Fusion

摘要

This article presents an information fusion based decision method for a localization system composed by two video cameras and two infrared cameras. First, for each of video and infrared cameras systems, geometric characteristics are obtained which in a second stage are used in three types of information fusion. The decision, for determining the label of the object captured in the images is made using a soft type rule by considering the original algorithm based on a modified Hebb-law.