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Classification of Building Images in Video Sequences
Abstract
A technique for detection of building images in real-world video sequences is presented. The proposed technique uses information extracted from video features to improve precision in classification results. It combines fuzzy rule-based classification with a method for changing region detection in outdoor environments, which is invariant to extreme illumination changes and severe weather conditions. It has been tested on sequences under various lighting conditions. Satisfactory and promising results have been achieved.
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