Visual monitoring of social distancing behavior using artificial intelligence algorithms

被引：0
作者：
Zanozin, Viktor [1 ]
Zankiewicz, Andrzej [1 ]
机构：
[1] Politech Bialostocka, Wydzial Elekt, Ul Wiejska 45D, PL-15351 Bialystok, Poland
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2023年 / 99卷 / 02期
关键词：
image analysis; computer vision; artificial intelligence; social distance;
D O I：
10.15199/48.2023.02.11
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The article presents a system of visual analysis of social distancing behavior using modern detection algorithms based on convolutional neural networks. The algorithm is executed on a graphics processor (GPU), so that the system made can be implemented on a mid-range PC. The detection result is graphically illustrated by covering the people detected in the analyzed scene with frames in a color depending on the determined distance.
引用
收藏
页码：96 / 100
页数：5
相关论文
共 13 条
[1]  
[Anonymous], About us
[2]  
[Anonymous], About us
[3]  
[Anonymous], about us
[4]  
Anwar A., USING PYTHON MONITOR
[5]  
cocodataset, about us
[6]  
eletel.p.lodz.pl, US
[7]  
Ferryman J., 2010, Proceedings 7th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2010), P143, DOI 10.1109/AVSS.2010.90
[8]  
Gonzalez R.C., 2018, Digital image processing, V4th
[9]  
Rosebrock A., 4 POINT OPENCV GETPE
[10]   Machine Learning on Mainstream Microcontrollers [J].
Sakr, Fouad ;
Bellotti, Francesco ;
Berta, Riccardo ;
De Gloria, Alessandro .
SENSORS, 2020, 20 (09)
12