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Towards unsupervised semantic segmentation of street scenes from motion cues

Sokeh, Hajar; Gould, Stephen


Motion provides a rich source of information about the world. It can be used as an important cue to analyse the behaviour of objects in a scene and consequently identify interesting locations within it. In this paper, given an unannotated video sequence of a dynamic scene from fixed viewpoint, we first present a set of useful motion features that can be efficiently extracted at each pixel by optical flow. Using these features, we then develop an algorithm that can extract motion topic models...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
Source: ACM International Conference Proceeding Series
DOI: 10.1145/2425836.2425884


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