Spatiotemporal Relations and Modeling Motion Classes by Combined Topological and Directional Relations Method. (16th May 2012)

• Record Type: Journal Article
• Authors: Salamat, Nadeem; Zahzah, El-hadi
• Other Names: Alvarez-Borrego J. Academic Editor.
• Is Part Of: ISRN machine vision. Volume 2012(2012)
• Publication Date: 2012-05-16
• Subjects: Computer vision -- Periodicals; Computer vision; Periodicals; Electronic journals; 006.37
• DOI: 10.5402/2012/872687
• Languages: English
• ISSNs: 2090-7796

Abstract

Abstract : 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.