- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Jayatilaka, Gihan ; Hassan, Jameel ; Sritharan, Suren ; Senanayaka, Janith Bandara ; Weligampola, Harshana ; Godaliyadda, Roshan ; Ekanayake, Parakrama ; Herath, Vijitha ; Ekanayake, Janaka ; Dharmaratne, Samath
- Titel:
- Holistic Interpretation of Public Scenes Using Computer Vision and Temporal Graphs to Identify Social Distancing Violations
- Stichworte:
- Article ; COVID-19 ; computer vision ; surveillance ; artificial intelligence
- Zeitschriftentitel:
- Applied Sciences
- Jahr:
- 2022
- Band / Volume:
- 12
- Heft / Issue:
- 17
- Volltext / DOI:
- doi:10.3390/app12178428
- Verlag / Institution:
- MDPI
- E-ISSN:
- 2076-3417
- Publikationsdatum:
- 24.08.2022
- CC-Lizenz:
- by, https://creativecommons.org/licenses/by/4.0
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