| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T378 |
0-70 |
Sentence |
denotes |
Camera stream processing is a popular and quick way to detect objects. |
| T379 |
71-184 |
Sentence |
denotes |
Human behaviors and actions can be detected as objects from the video frames using a trained deep learning model. |
| T380 |
185-435 |
Sentence |
denotes |
For the detection of risky behaviors such as coughing, hugging, handshaking, and doorknob touching, the You Only Look Once version3 (YOLOv3) which is suitable for real-time behavior detection for online video streams, was trained and applied [63,64]. |
| T381 |
436-558 |
Sentence |
denotes |
This library classifies and localizes detected objects in one step with a speed of faster than 40 frames per second (FPS). |
| T382 |
559-640 |
Sentence |
denotes |
We considered two main types of risky behaviors for COVID-19 indoor transmission: |
| T383 |
641-727 |
Sentence |
denotes |
Group risky behaviors (e.g., hugging) and individual risky behaviors (e.g., coughing). |
| T384 |
728-835 |
Sentence |
denotes |
Figure 12 illustrates how to train a model for COVID-19 transmission risky behavior detection using YOLOv3. |
