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%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi@80/2007/07.31.19.24
%2 sid.inpe.br/sibgrapi@80/2007/07.31.19.24.15
%T Unsupervised identification of coherent motion in video
%D 2007
%8 Oct. 7-10, 2007
%A Silva, Luciano Silva da,
%A Scharcanski, Jacob,
%E Falcão, Alexandre Xavier,
%E Lopes, Hélio Côrtes Vieira,
%B Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
%C Belo Horizonte
%S Proceedings
%I IEEE Computer Society
%J Los Alamitos
%K motion segmentation, point trajectories.
%X The identification and classification of motion patterns in point trajectories has been an important issue in understanding and representing dynamic scenes. This paper proposes an unsupervised approach to identify coherent motion in video. Instead of producing a spatio-temporal segmentation of the raw data, the proposed method analyzes point trajectories along the video sequence to identify sets of points that move coherently. This new way of extracting motion information from videos potentially can be used in different areas of image processing and computer vision.
%@language en
%3 SilvaSchrcanski_MotionCoherence.pdf


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