Abstract
In the reality of 2021's Covid-19 pandemic there are a lot of government's restrictions made to reduce the virus spread speed in the society. One of the examples of such restrictions are the people per square meter limit in public places and shopping malls. Because manual counting of each person in such places is not possible due to limited time and money resources, this limit restriction is widely abused making the pandemic outbreak more dangerous. To face this problem author has presented a novel face and body detection model for the CCTV (Closed Circuit Television) monitoring systems, that automatically counts the amount of people in the monitored area by the use of Deep Learning.
| Original language | English |
|---|---|
| Pages (from-to) | 132-140 |
| Number of pages | 9 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2915 |
| Publication status | Published - 2021 |
| Event | 26th International Conference on Information Society and University Studies, IVUS 2021 - Kaunas, Lithuania Duration: 23 Apr 2021 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Convolutional Neural Network
- Deep Learning
- Detection
- Image processing
- Recognition
ASJC Scopus subject areas
- General Computer Science
Fingerprint
Dive into the research topics of 'CNN-powered body and face detection for intelligent people counting in Covid-19 restricted places'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver