Semantic video object tracking using region-based classification

This paper introduces a novel semantic video object tracking system using backward region-based classification. It consists of five elementary steps: region pre-processing, region extraction, region-based motion estimation, region classification and region post-processing. Promising experimental results have shown solid performance of this generic tracking system with pixel-wise accuracy.