Underground personnel tracking algorithm based on computer vision

Abstract

The invention provides an underground personnel tracking algorithm based on computer vision, and the algorithm can quickly complete the detection of underground personnel in case of a mine disaster through the video image processing by using the computer vision technology, thereby facilitating the rescue. The algorithm is high in real-time performance, good in robustness, high in precision and lowin cost. The algorithm can effectively overcome the display difficulties of low illumination, uneven illumination, flashlight illumination interference, high similarity of targets and backgrounds andthe like under a mine, effectively detects and tracks personnel under the mine, can provide accurate personnel position information after an accident happens, actively and quickly carries out rescue.In addition, the personnel distribution situation can be mastered in real time in ordinary production, the work is arranged and dispatched, and the management level of coal production is improved.

Description

technical field [0001] The invention belongs to the field of mine personnel detection, and more specifically relates to a computer vision-based underground personnel tracking algorithm. Background technique [0002] At this stage, my country's coal mine underground personnel positioning system is committed to improving positioning accuracy, reducing positioning complexity, reducing system energy consumption and cost, and improving system scalability. At present, the more common algorithms based on ranging types are: received signal strength Value (RSSI) algorithm, Time of Arrival (TOA), Time Difference of Arrival (TDOA) and Arrival (AOA) four positioning algorithms. [0003] Because coal mining takes underground mining as the main mode, miners have become a high-risk occupation. Limited to the current situation of domestic coal production, the monitoring of underground personnel is not perfect, especially when mining disasters occur, because the distribution of undergroun...

AI Technical Summary

Problems solved by technology

[0003] Because coal mining takes underground mining as the main mode, miners have become a high-risk occupation. Limited to the current situation of domestic coal production, the monitoring of underground personnel is not perfect, especially when mining disasters occur, because the distribution of underground personnel is not well understood. Accurate, low positioning technology and inaccurate positioning have brought great difficulties to the rescue work. If the specific location of the miners cannot be known, the most effective rescue plan cannot be implemented, and the rescue work may be delayed from time to time. Therefore, Establish a real-time and effective underground personnel tracking and positioning system, which can not only provide accurate personnel location information after the accident, actively and quickly carry out rescue, but also grasp the distribution, arrangement and dispatch of personnel in real time during normal production to improve the management level of coal production

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