| Autor: |
Massimo De Maria, Lorenza Fiumi, Mauro Mazzei, Bik Oleg V. |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Heritage, Vol 4, Iss 3, Pp 1429-1446 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2571-9408 |
| DOI: |
10.3390/heritage4030079 |
| Popis: |
This work aims to contribute to better understanding the use of public street spaces. (1) Background: In this sense, with a multidisciplinary approach, the objective of this work is to propose an experimental and reproducible method on a large scale. (2) Study area: The applied methodology uses artificial intelligence to analyze Google Street View (GSV) images at street level. (3) Method: The purpose is to validate a methodology that allows us to characterize and quantify the use (pedestrians and cars) of some squares in Rome belonging to different historical periods. (4) Results: Through the use of machine vision techniques, typical of artificial intelligence and which use convolutional neural networks, a historical reading of some selected squares is proposed, with the aim of interpreting the dynamics of use and identifying some critical issues in progress. (5) Conclusions: This work validated the usefulness of a method applied to the use of artificial intelligence for the analysis of GSV images at street level. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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