2015
Learning Similarity Metrics for Dynamic Scene Segmentation
CVPR 2015poster
This paper addresses the segmentation of videos with arbitrary motion, including dynamic textures, using novel motion features and a supervised learning approach. Dynamic textures are commonplace in natural scenes, and exhibit complex patterns of appearance and motion (e.g. water, smoke, swaying fol…