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A method for identifying unsafe behaviors of coal mine personnel based on human body pose estimation

A technology of safety behavior and human body posture, applied in the field of coal mine safety monitoring, can solve the problems of simultaneous monitoring of multiple scenes, untimely processing of manual monitoring results, limited duration of manual monitoring, etc., to achieve the effect of ensuring safe production in coal mines

Active Publication Date: 2022-02-25
NANJING TECH UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems that the current human-centered video monitoring mode has limited manual monitoring duration, difficulty in simultaneous monitoring of multiple scenes, and untimely processing of manual monitoring results for the monitoring of unsafe behaviors of underground personnel. Unsafe Behavior Recognition Method of Coal Mine Underground Personnel Based on Pose Estimation

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  • A method for identifying unsafe behaviors of coal mine personnel based on human body pose estimation
  • A method for identifying unsafe behaviors of coal mine personnel based on human body pose estimation
  • A method for identifying unsafe behaviors of coal mine personnel based on human body pose estimation

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Embodiment Construction

[0034] Preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein.

[0035] Such as figure 1 As shown, the present invention provides a method for identifying unsafe behaviors of coal mine personnel based on human body posture estimation, the method comprising the following steps:

[0036] Step 1. Preset several kinds of unsafe behaviors of underground personnel in coal mines, obtain the video information corresponding to the aforementioned unsafe behaviors, calibrate the skeleton information in the aforementioned video information by manual marking, obtain the training data set, and analyze the aforementioned training data set Carry out hourglass network training based on adversarial learning-ba...

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Abstract

The method for identifying unsafe behaviors of underground personnel in coal mines based on human body posture estimation of the present invention is aimed at the current human-centered video monitoring mode for the monitoring of unsafe behaviors of underground personnel, which has limited manual monitoring duration, difficulty in simultaneous monitoring of multiple scenes, and manual monitoring. In order to solve problems such as untimely processing of the results, intelligent analysis technology was introduced into the coal mine video surveillance system, and the posture information of coal mine personnel was extracted by mining Hourglass Networks with Hard Mining based on difficult samples based on generative confrontation training. Then, according to the trajectory of the extracted human body posture information in the surveillance video, it can be judged whether the behavior of the underground personnel in the coal mine is abnormal, and the alarm prompt can be accurately detected to prevent problems before they happen and ensure the safety of coal mine production.

Description

technical field [0001] The invention relates to coal mine safety monitoring technology, in particular to a method for identifying unsafe behaviors of coal mine underground personnel based on human body posture estimation. Background technique [0002] my country is the largest coal producer and consumer in the world, and the continuous, healthy and stable development of the coal industry has a huge impact on the healthy operation of the national economy. Underground coal mines have harsh working conditions, complex environments, and accidents. The analysis and research on the causes of a large number of accidents in coal mines in my country found that more than 80% of coal mine accidents originated from the unsafe behavior of underground personnel. Therefore, how to effectively extract the behavior information of underground personnel from the coal mine surveillance video is of great significance to ensure the safety of coal mine production. [0003] Coal mine video monito...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/20G06V20/40G06N3/04G06N3/08
CPCG06N3/08G06V40/23G06V20/41G06N3/045
Inventor 朱艾春张赛吴钱御华钢李义丰
Owner NANJING TECH UNIV
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