A deep learning-based social distance monitoring framework for Covid-19
Bibliographic Data
| ID | 21230537 |
|---|---|
| Authors | Imaduddin Ahmed (0000-0001-8115-7859, Institute of Management Sciences Peshawar), Imran Ahmed (0000-0001-7425-3113, Institute of Management Sciences Peshawar), Misbah Ahmad (0000-0001-7013-0159, Institute of Management Sciences Peshawar), Joel J P C Rodrigues (0000-0001-8657-3800, Universidade Federal do Piauí), Gwanggil Jeon (0000-0002-0651-4278, Incheon National University, corresponding author), Sadia Din (0000-0003-0921-4462, Yeungnam University) |
| Year | 2021 |
| Volume | 65 |
| Pages | 102571 |
| Publication date | 2021-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2020.102571 |
| PMID | 33163330 |
| OpenAlex | W3095178570 |
| Language | EN |
| Citations received | 22 |
| References cited | 9 |
Bounding overwatch · Computer vision · Euclidean distance · Machine learning · Minimum bounding box · Pairwise comparison · Population · Social distance · Anomaly Detection Techniques and Applications · Computer Science · COVID-19 diagnosis using AI · Medicine · Video Surveillance and Tracking Methods · Artificial Intelligence
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| Unique citing works | 22 |
|---|---|
| Citations per year | 4.4 |
| Citation span | 2021 - 2023 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 20 |