| Autor: |
Seyed Hossein Chavoshi, Bernard De Baets, Tijs Neutens, Matthias Delafontaine, Guy De Tré, Nico Van de Weghe |
| Jazyk: |
angličtina |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
ISPRS International Journal of Geo-Information, Vol 4, Iss 3, Pp 1605-1626 (2015) |
| Druh dokumentu: |
article |
| ISSN: |
2220-9964 |
| DOI: |
10.3390/ijgi4031605 |
| Popis: |
Increased affordability and deployment of advanced tracking technologies have led researchers from various domains to analyze the resulting spatio-temporal movement data sets for the purpose of knowledge discovery. Two different approaches can be considered in the analysis of moving objects: quantitative analysis and qualitative analysis. This research focuses on the latter and uses the qualitative trajectory calculus (QTC), a type of calculus that represents qualitative data on moving point objects (MPOs), and establishes a framework to analyze the relative movement of multiple MPOs. A visualization technique called sequence signature (SESI) is used, which enables to map QTC patterns in a 2D indexed rasterized space in order to evaluate the similarity of relative movement patterns of multiple MPOs. The applicability of the proposed methodology is illustrated by means of two practical examples of interacting MPOs: cars on a highway and body parts of a samba dancer. The results show that the proposed method can be effectively used to analyze interactions of multiple MPOs in different domains. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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