Information Fusion for Uncertainty Determination in Video and Infrared Cameras System

Authors:
Cornel Barna
Affiliations:
Aurel Vlaicu University Arad, Romania
Venue:
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Year:
2008

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Abstract

In the paper I present a new method for measuring uncertainty based on multiple information fusion. A system composed of video and infrared cameras is used. From this system, the features of the observed objects are extracted, separate for the video and infrared cameras. Based on these characteristics, the uncertainty value for video and infrared observations are determined. Three information fusion methods are applied, and for each of them the aggregated uncertainty measure is determined. Finally, a global uncertainty estimation is obtained from the previous results, which can be used for the labeling decision process of recognizing an object.