FUSION OF THERMAL AND RGB IMAGES FOR BORDER SECURITY SURVEILLANCE

摘要

Border security surveillance in remote areas are often suffer from low visibility and poor lighting conditions Thus, tracking and recognizing the intruder in such a situation is a daunting task. In this study a fusion technique is presented for enhancing the visibility by merging feature sets from thermal and RGB image sequence. The technique also solves the problem of computing the feature sets in massive sequences o images by carry-forwarding the past feature sets for consequent image sequence.