Spatiotemporal video segmentation and motion estimation through irregular pyramids

This paper presents a new spatiotemporal segmentation technique for video sequences. It relies on building irregular pyramids based on its homogeneity over consecutive frames. Pyramids are interlinked to keep a relationship between the regions in the frames. Its performance is good in real-world conditions because it does not depend on image constrains.