MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipolla · 2012
We present a novel mixture of trees (MoT) graphical model for video segmentation.Each component in this mixture represents a tree structured temporal linkage between super-pixels from the first to the last frame of a video sequence.Our time-series model explicitly captures the uncertainty in temporal linkage between adjacent frames which improves segmentation accuracy.We provide a variational inference scheme for this model to estimate super-pixel labels and their confidences in nearly realtime.The efficacy of our approach is demonstrated via quantitative comparisons on the challenging SegTrack joint segmentation and tracking dataset [23].