Cargando…
COVID-19 risk reduce based YOLOv4-P6-FaceMask detector and DeepSORT tracker
Wearing masks in public areas is one of the effective protection methods for people. Although it is essential to wear the facemask correctly, there are few research studies about facemask detection and tracking based on image processing. In this work, we propose a new high performance two stage face...
Autores principales: | Mokeddem, Mohammed Lakhdar, Belahcene, Mebarka, Bourennane, Salah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9702683/ https://www.ncbi.nlm.nih.gov/pubmed/36467437 http://dx.doi.org/10.1007/s11042-022-14251-7 |
Ejemplares similares
-
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications
por: Durve, Mihir, et al.
Publicado: (2023) -
An Improved Pig Counting Algorithm Based on YOLOv5 and DeepSORT Model
por: Huang, Yigui, et al.
Publicado: (2023) -
Adaptation of YOLOv7 and YOLOv7_tiny for Soccer-Ball Multi-Detection with DeepSORT for Tracking by Semi-Supervised System
por: Vicente-Martínez, Jorge Armando, et al.
Publicado: (2023) -
Research on the Method of Counting Wheat Ears via Video Based on Improved YOLOv7 and DeepSort
por: Wu, Tianle, et al.
Publicado: (2023) -
DeepSort: deep convolutional networks for sorting haploid maize seeds
por: Veeramani, Balaji, et al.
Publicado: (2018)