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"Extracting Movement Patterns Using Fuzzy And Neuro-Fuzzy Approaches" by Hacı Mustafa Palancıoğlu
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"Extracting Movement Patterns Using Fuzzy And Neuro-Fuzzy Approaches" by Hacı Mustafa Palancıoğlu
Spatial Information Science and Engineering
University of Maine | 2003 | ISBN: n/a | 158 pages | PDF | 6 Mb
This book addresses the identification of repeat movement patterns from large volumes of data. This work demonstrates the extraction of movement signatures from sets of movement observations using fuzzy and Neuro-fuzzy methodologies. Identification of movement signatures and definition of their attributes provides summary level information for modeling and reasoning about moving objects.
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These are represented as higher-level movement structures referred to as movement signatures. Movement signatures are defined as collections of patterns that objects demonstrate in their sequences of movements. Signatures have a spatial structure that includes dominant or frequently visited locations and paths and a spatio-temporal structure that associates a temporal pattern with the spatial patterns.
TOC
• INTRODUCTION
• BACKGROUND
• MODELING MOVING OBJECTS
• APPROACHES TO EXTRACT SPATIAL LOCATION SIGNATURES BY CLUSTER ANALYSIS
• APPROACHES TO EXTRACT SPATIO-TEMPORAL MOVEMENT SIGNATURES BY SUMMARIZATION
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