2016
Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions
CVPR 2016poster
An unsupervised video object segmentation algorithm, which discovers a primary object in a video sequence automatically, is proposed in this work. We introduce three energies in terms of foreground and background probability distributions: Markov, spatiotemporal, and antagonistic energies. Then, we…