Towards unsupervised semantic segmentation of street scenes from motion cues
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]
|Collections||ANU Research Publications|
|Source:||ACM International Conference Proceeding Series|
|01_Sokeh_Towards_unsupervised_semantic_2012.pdf||938.75 kB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.