CUED Publications database

MoT - Mixture of trees probabilistic graphical model for video segmentation

Budvytis, I and Badrinarayanan, V and Cipolla, R (2012) MoT - Mixture of trees probabilistic graphical model for video segmentation. In: UNSPECIFIED.

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Abstract

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].

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:16
Last Modified: 15 Nov 2018 04:02
DOI: