Federico Karagulian
Biographic Data
| ID | 6932230 |
|---|---|
| NAME | Federico Karagulian |
| GIVEN NAMES | Federico |
| FAMILY NAME | Karagulian |
| SIGNATURE | KARAGULIAN F |
| AFFILIATIONS | National Agency for New Technologies, Energy and Sustainable Economic Development |
| ORCID | 0000-0003-0518-0955 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Pedestrian Flows Characterization and Estimation with Computer Vision Techniques
This work describes a straightforward implementation of detecting and tracking pedestrian walking across a public square using computer vision. The methodology consists of the use of the well-known YOLOv3 algorithm over videos recorded during different days of the week. The chosen location was the Piazza Duca d’Aosta in the city of Milan, Italy, in front of the main Centrale railway station, an access point for the subway. Several analyses have b…
Contributions to cities' ambient particulate matter (PM): A systematic review of local source contributions at global level
Pedestrian Flows Characterization and Estimation with Computer Vision Techniques
This work describes a straightforward implementation of detecting and tracking pedestrian walking across a public square using computer vision. The methodology consists of the use of the well-known YOLOv3 algorithm over videos recorded during different days of the week. The chosen location was the Piazza Duca d’Aosta in the city of Milan, Italy, in front of the main Centrale railway station, an access point for the subway. Several analyses have b…
Contributions to cities' ambient particulate matter (PM): A systematic review of local source contributions at global level
Pedestrian Flows Characterization and Estimation with Computer Vision Techniques
This work describes a straightforward implementation of detecting and tracking pedestrian walking across a public square using computer vision. The methodology consists of the use of the well-known YOLOv3 algorithm over videos recorded during different days of the week. The chosen location was the Piazza Duca d’Aosta in the city of Milan, Italy, in front of the main Centrale railway station, an access point for the subway. Several analyses have b…
Artificial Intelligence (1 works) · Autonomous Vehicle Technology and Safety (1 works) · Computer Science (1 works) · Computer vision (1 works) · Engineering (1 works) · Evening (1 works) · Mathematics (1 works) · Morning (1 works) · Pedestrian (1 works) · Pedestrian detection (1 works)