Table of Contents
ISRN Machine Vision
Volume 2012, Article ID 872687, 11 pages
Research Article

Spatiotemporal Relations and Modeling Motion Classes by Combined Topological and Directional Relations Method

1Department of Mathematics, MIA Laboratory, University of La Rochelle, 17000 La Rochelle, France
2MIA Laboratory and Computer Science Department, University of La Rochelle, 17000 La Rochelle, France

Received 29 December 2011; Accepted 23 January 2012

Academic Editor: J. Alvarez-Borrego

Copyright © 2012 Nadeem Salamat and El-hadi Zahzah. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Defining spatiotemporal relations and modeling motion events are emerging issues of current research. Motion events are the subclasses of spatiotemporal relations, where stable and unstable spatio-temporal topological relations and temporal order of occurrence of a primitive event play an important role. In this paper, we proposed a theory of spatio-temporal relations based on topological and orientation perspective. This theory characterized the spatiotemporal relations into different classes according to the application domain and topological stability. This proposes a common sense reasoning and modeling motion events in diverse application with the motion classes as primitives, which describe change in orientation and topological relations model. Orientation information is added to remove the locative symmetry of topological relations from motion events, and these events are defined as a systematic way. This will help to improve the understanding of spatial scenario in spatiotemporal applications.