Loading...
Please wait, while we are loading the content...
Similar Documents
A System for Monitoring the Environment of Historic Places Using Convolutional Neural Network Methodologies
| Content Provider | MDPI |
|---|---|
| Author | Bik, V. Maria, Massimo Fiumi, Lorenza Mazzei, Mauro |
| Copyright Year | 2021 |
| Description | 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. |
| Ending Page | 1446 |
| Page Count | 18 |
| Starting Page | 1429 |
| e-ISSN | 25719408 |
| DOI | 10.3390/heritage4030079 |
| Journal | Heritage |
| Issue Number | 3 |
| Volume Number | 4 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-07-28 |
| Access Restriction | Open |
| Subject Keyword | Heritage Cultural Heritage Environment Deep Learning Artificial Intelligence Neural Network |
| Content Type | Text |
| Resource Type | Article |
