Contextual smoothing of image segmentation

Abstract

This paper presents a new method for improving region segmentation in sequences of images when temporal and spatial prior context is available. The proposed technique uses elementary classifiers on infra-red, polarimetic and video data to obtain a coarse segmentation per-pixel. Contextual information is exploited in a Bayesian formulation to smooth the… (More)
DOI: 10.1109/CVPRW.2010.5543910

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