Spatio-temporal reasoning by combined topological and directional relations information

Authors:
Nadeem Salamat;El-hadi Zahzah
Affiliations:
Mathematics, Image and Applications (MIA) Laboratory, University of La Rochelle, 17000, France;Mathematics, Image and Applications (MIA) Laboratory, University of La Rochelle, 17000, France
Venue:
International Journal of Artificial Intelligence and Soft Computing
Year:
2012

Citing 15
Cited 0

Temporal reasoning based on semi-intervals

Artificial Intelligence
A New Way to Represent the Relative Position between Areal Objects

IEEE Transactions on Pattern Analysis and Machine Intelligence
Maintaining knowledge about temporal intervals

Communications of the ACM
Qualitative Spatial Representation and Reasoning with the Region Connection Calculus

Geoinformatica
Reasoning about Gradual Changes of Topological Relationships

Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Temporal reasoning about fuzzy intervals

Artificial Intelligence
A Qualitative Hidden Markov Model for Spatio-temporal Reasoning

ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Spatial reasoning in a fuzzy region connection calculus

Artificial Intelligence
Qualitative reasoning with directional relations

Artificial Intelligence
Spatial reasoning based on rough mereology: a notion of a robot formation and path planning problem for formations of mobile autonomous robots

Transactions on rough sets XII
On the improvement of combined fuzzy topological and directional relations information

Pattern Recognition
Reasoning the spatiotemporal relations between time evolving indeterminate regions

ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
A fuzzy sets theoretic approach to approximate spatial reasoning

IEEE Transactions on Fuzzy Systems
Two-dimensional fuzzy spatial relations: a new way of computing and representation

Advances in Fuzzy Systems
Qualitative Spatial Representation and Reasoning: An Overview

Fundamenta Informaticae - Qualitative Spatial Reasoning

Quantified Score

Hi-index	0.00

Visualization

Abstract

Spatio-temporal reasoning is extensively used in many areas of computer vision and artificial intelligence (AI). Topological and directional relations-based reasoning methods are developed separately. Reasoning about moving objects in a spatial scene about the two-dimensional scene simultaneously needs both topological and directional reasoning. In this paper, a reasoning method for two-dimensional spatial scene based on combined topological and directional (CTD) relations method is introduced. Main task in spatial reasoning is the construction of composition tables for topological and directional relations. Entities in these composition-tables follows the mathematical rule for composition of spatial relations, these rules are elaborated and composition table for topological relations is divided and rearranged into sub-tables.