A robust framework for region based video object segmentation

This work presents a novel approach to accurately segment video objects in complex environments, based on region- analysis. A robust-to-illumination region segmentation, a flexible and robust framework for region characterization and matching, and a multi-layer region-based background model, are key aspects of the proposed approach. Presented results show that, not requiring any post-processing process, the technique yields thigh-to-objects segmentation masks.