Coal mine fully mechanized coal mining face unsafe behavior identification method based on visual relation detection

The invention discloses a coal mine fully mechanized coal mining face unsafe behavior identification method based on visual relation detection, which comprises the following steps: acquiring image data of a coal mine fully mechanized coal mining face, marking and semantically describing the data, an...

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Bibliographische Detailangaben
Hauptverfasser:	MENG XIANGFENG, MAI QIANYI, YANG CAIYI, XU YOUQING, GAO WANG, YANG FENG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention discloses a coal mine fully mechanized coal mining face unsafe behavior identification method based on visual relation detection, which comprises the following steps: acquiring image data of a coal mine fully mechanized coal mining face, marking and semantically describing the data, and establishing a coal mine fully mechanized coal mining face unsafe behavior semantic image data set; constructing a human-machine-ring target recognition algorithm and a visual relation detection model on the established data set to form image text description; performing matching retrieval on theimage text description statement and entries in the coal mine unsafe behavior database through statement similarity calculation, and identifying the coal mine unsafe behavior. Based on the image understanding method, people, machines and ring objects in the coal mine working face can be recognized, the semantic relation between the objects can be recognized, unsafe behaviors in the coal mine working face can be recognized