Motion Segmentation: a Review

Authors:
Luca Zappella;Xavier Lladó;Joaquim Salvi
Affiliations:
Institute of Informatics and Applications, University of Girona, Girona (Spain);Institute of Informatics and Applications, University of Girona, Girona (Spain);Institute of Informatics and Applications, University of Girona, Girona (Spain)
Venue:
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Year:
2008

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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.