L. Zappella, X. Lladó, and J. Salvi. Proceedings of the 2008 Conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence, page 398--407. Amsterdam, The Netherlands, The Netherlands, IOS Press, (2008)
Abstract
Motion segmentation is an essential process for many computer vision algorithms. During the last decade, a large amount of work has been trying to tackle this challenge, however, performances of most of them still fall far behind human perception. In this paper the motion segmentation problem is studied, analyzing and reviewing the most important and newest techniques. We propose a classification of all these techniques into different categories according to their main principle and features. Moreover, we point out their strengths and weaknesses and finally we suggest further research directions.
Proceedings of the 2008 Conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
%0 Conference Paper
%1 Zappella:2008:MSR:1566899.1566953
%A Zappella, Luca
%A Lladó, Xavier
%A Salvi, Joaquim
%B Proceedings of the 2008 Conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
%C Amsterdam, The Netherlands, The Netherlands
%D 2008
%I IOS Press
%K ComputerVision motion_analysis motion_segmentation
%P 398--407
%T Motion Segmentation: A Review
%U http://dl.acm.org/citation.cfm?id=1566899.1566953
%X Motion segmentation is an essential process for many computer vision algorithms. During the last decade, a large amount of work has been trying to tackle this challenge, however, performances of most of them still fall far behind human perception. In this paper the motion segmentation problem is studied, analyzing and reviewing the most important and newest techniques. We propose a classification of all these techniques into different categories according to their main principle and features. Moreover, we point out their strengths and weaknesses and finally we suggest further research directions.
%@ 978-1-58603-925-7
@inproceedings{Zappella:2008:MSR:1566899.1566953,
abstract = {Motion segmentation is an essential process for many computer vision algorithms. During the last decade, a large amount of work has been trying to tackle this challenge, however, performances of most of them still fall far behind human perception. In this paper the motion segmentation problem is studied, analyzing and reviewing the most important and newest techniques. We propose a classification of all these techniques into different categories according to their main principle and features. Moreover, we point out their strengths and weaknesses and finally we suggest further research directions.},
acmid = {1566953},
added-at = {2014-07-29T16:32:17.000+0200},
address = {Amsterdam, The Netherlands, The Netherlands},
author = {Zappella, Luca and Llad\'{o}, Xavier and Salvi, Joaquim},
biburl = {https://www.bibsonomy.org/bibtex/2074133c22cb94112bf8ca8ea36148e11/alex_ruff},
booktitle = {Proceedings of the 2008 Conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence},
description = {Motion Segmentation},
interhash = {5804e543b5d87287873607c43d6a550f},
intrahash = {074133c22cb94112bf8ca8ea36148e11},
isbn = {978-1-58603-925-7},
keywords = {ComputerVision motion_analysis motion_segmentation},
numpages = {10},
pages = {398--407},
publisher = {IOS Press},
timestamp = {2014-07-29T16:32:17.000+0200},
title = {Motion Segmentation: A Review},
url = {http://dl.acm.org/citation.cfm?id=1566899.1566953},
year = 2008
}