Abstract
Spatial changes plays a fundamental role in modeling the spatio-temporal relations and spatio-temporal or motion event predictions. These predictions can be made through the conceptual neighborhood graph using the common sense continuity. This paper investigates that the extension in the temporal interval can effect the whole spatio-temporal relation and motion events. Spatio-temporal predicates form a unit of a motion event. We use the point temporal logic to extend the spatial predicates into the spatio-temporal or motion event predicates.
Chapter PDF
Similar content being viewed by others
References
Allen, J.F.: Maintaining Knowledge about Temporal Intervals. Communications of the ACM 26(11), 832–843 (1983)
Allen, J.F., Ferguson, G.: Actions and Events in Interval Temporal Logic. Journal of Logic and Computation 4, 531–579 (1994)
Cohn, A.G., Bennett, B., Gooday, J., Gotts, N.: RCC: a Calculus for Region-Based Qualitative Spatial Reasoning. GeoInformatica 1, 275–316 (1997)
Cohn, A.G., Hazarika, S.M.: Qualitative Spatial Representation and Reasoning: An Overview. Fundamenta Informaticae 46(1-2), 1–29 (2001)
Egenhofer, M., Mark, D.: Modeling Conceptual Neighborhoods of Topological Line-Region Relations. International Journal of Geographical Information Systems 9, 555–565 (1995)
Egenhofer, M.J., Al-Taha, K.K.: Reasoning about Gradual Changes of Topological Relationships. In: Proceedings of the International Conference On GIS - From Space to Territory, pp. 196–219. Springer, London (1992)
Egenhofer, M.J., Franzosa, R.D.: Point Set Topological Relations. International Journal of Geographical Information Systems 5(2), 161–174 (1991)
Erwig, M., Schneider, M., Hagen, F., Praktische Informatik Iv.: Spatio-Temporal Predicates. IEEE Transactions on Knowledge and Data Engineering 14, 881–901 (1999)
Galton, A.: A generalized topological view of motion in discrete space. Theor. Comput. Sci. 305(1-3), 111–134 (2003)
Goyal, R.K., Egenhofer, M.J.: Similarity of cardinal directions. In: Jensen, C.S., Schneider, M., Seeger, B., Tsotras, V.J. (eds.) SSTD 2001. LNCS, vol. 2121, pp. 36–58. Springer, Heidelberg (2001)
Salamat, N., Zahzah, E.h.: 2D Fuzzy Spatial Relations: New Way of Computing and Representation, http://hal.archives-ouvertes.fr/hal-00551281/en/
Salamat, N., Zahzah, E.h.: On the improvement of Combined topological and Directional Relations Information, http://hal.archives-ouvertes.fr/hal-00551278/en/
Salamat, N., Zahzah, E.h.: Fusion of Fuzzy Spatial Relations. In: Proceedings of The 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS (1)), pp. 294–301 (2010)
Salamat, N., Zahzah, E.h.: Fuzzy Spatial Relations For 2D Scene. In: Proceedings of The 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV-2010), pp. 47–53 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Salamat, N., Zahzah, Eh. (2011). Combined Topological and Directional Relations Based Motion Event Predictions. In: Kuznetsov, S.O., Mandal, D.P., Kundu, M.K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2011. Lecture Notes in Computer Science, vol 6744. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21786-9_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-21786-9_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21785-2
Online ISBN: 978-3-642-21786-9
eBook Packages: Computer ScienceComputer Science (R0)