Temporal information integration for video semantic segmentation
G. Guarino,T. Chateau,C. Teulière,V. Antoine,G. Guarino,T. Chateau,C. Teulière,V. Antoine
We present a temporal Bayesian filter for semantic segmentation of a video sequence. Each pixel is a random variable following a discrete probabilistic distribution function representing possible semantic classes. Bayesian filtering consists in two main steps: 1) a prediction model and 2) an observation model (likelihood). We propose to use a datadriven prediction function derived from a dense opt...
