@InProceedings{SilvaScha:2007:UnIdCo,
author = "Silva, Luciano Silva da and Scharcanski, Jacob",
title = "Unsupervised identification of coherent motion in video",
booktitle = "Proceedings...",
year = "2007",
editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes
Vieira",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "motion segmentation, point trajectories.",
abstract = "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.",
conference-location = "Belo Horizonte, MG, Brazil",
conference-year = "7-10 Oct. 2007",
doi = "10.1109/SIBGRAPI.2007.19",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2007.19",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/QVvAv",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/QVvAv",
targetfile = "SilvaSchrcanski_MotionCoherence.pdf",
urlaccessdate = "2024, May 05"
}