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

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

Active Publication Date: 2019-02-22
NANJING UNIV OF TECH
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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 posture estimation
  • A method for identifying unsafe behaviors of coal mine personnel based on human posture estimation
  • A method for identifying unsafe behaviors of coal mine personnel based on human posture 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 invention discloses a method for identifying unsafe behaviors of coal mine personnel based on human posture estimation. Aiming at the limitation of human-centered video surveillance mode for monitoring the unsafe behavior of underground personnel, Simultaneous monitoring of multiple scenarios is difficult, the result of manual monitoring can not be handled in time, Intelligent analysis technology is introduced into the coal mine video surveillance system, and the attitude information of coal mine personnel is extracted by Hourglass Networks with Hard Mining (HMN) based on the difficult samples of generated antagonism training. Then, according to the extracted human posture information in the video surveillance trajectory to determine whether the behavior of coal mine personnel abnormal, precisely detected and issued an alarm prompt, to prevent trouble in advance, to ensure coal mine safety in 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 Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/23G06V20/41G06N3/045
Inventor 朱艾春张赛吴钱御华钢李义丰
Owner NANJING UNIV OF TECH
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