Recognition of unsafe behaviors of key position personnel in coal mines based on improved YOLOv7 and ByteTrack

The application of artificial intelligence technology can real-time recognize the behavior of key position personnel in coal mines, such as mine hoist drivers, to prevent dangerous situations such as equipment misoperation. It is of great significance for ensuring coal mine safety production. The pe...

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Egile Nagusiak:	HAN Kang, LI Jingzhao, TAO Rongying
Formatua:	Artigo
Hizkuntza:	Chinês
Argitaratua:	Editorial Department of Industry and Mine Automation 2024-03-01
Saila:	Gong-kuang zidonghua
Gaiak:	unsafe behaviors recognition object detection attitude estimation spatial temporal graph convolutional networks personnel locking yolov7 bytetrack
Sarrera elektronikoa:	http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2024030015
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