… of monitoring social distancing using surveillance video. The proposed framework utilizes the
YOLO v3 object detection … approach to track the identified people with the help of bounding …

… to reduce the spreading of COVID-19 suggested by the World … YOLO v3 object detection
model to automate the monitoring … The YOLO V3 object detection model is fine-tuned for binary …

… To select the suitable deep learning object detector, firstly, we fine-tuned the existing state-of-the
art single-stage and multi-stage detection methods including YOLO-v3 [49], SSD [63], …

… , this research uses YOLO for calculating the social distancing & identifying face mask on …
Monitoring COVID19 social distancing with person detection and tracking via finetuned YOLO …

… Tracking technologies … Adapting the same technology in this paper, we have used the
Penn-Fudan dataset for pedestrian detection along with a pre-trained model of YOLO v5. We …

… separating themselves from the Covid-19 outbreak in order to … YOLO V3, the most recent
version of the object identification … identification and verify tracking using OpenCV. By watching …

… and the current data of Covid-19 in China with help of SEIR Sus… with a finetuned MobileNetV2
model for people detection. … techniques for object detection namely Faster RCNN, YOLO v3…

… object detection on video footage and images in real time. The experimental results … , ”Monitoring
COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 …

… detection and tracking via fine-tuned YOLO v3 and Deepsort … of monitoring social distancing
using surveillance video. The proposed framework utilizes the YOLO v3 object detection …

… YOLO has always been used for object detection for various domains. Laroca et al. [16] … ,
“Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO …