Rail transit abnormal person detection method based on action recognition

Abstract

The invention discloses a rail transit abnormal person detection method based on action recognition, and belongs to the field of aviation monitoring. The method comprises: inspecting railways by usingan unmanned aerial vehicle, extracting frames of videos, training and using an SSD detection model, obtaining position information of each person in each video frame image, intercepting a local areacontaining the person, and a key point detection model and a Reset-are detected. The 18-clothes classification model is trained; predicting joint coordinates of each person by using the key point detection model, forming a human skeleton sequence by using the joint coordinates in a certain time period, inputting the human skeleton sequence into an LSTM action recognition model, and recognizing theaction category of each person; and performing clothing classification of the personnel through the Resnet-18 clothing classification model; and judging whether the person is a worker or not according to the action type of each person and the corresponding appearance clothes. The method solves the problem of high cost of traditional manual inspection or roadbed inspection, and has high practicability and robustness.

Description

technical field [0001] The invention belongs to the field of aviation monitoring, in particular to an action recognition-based detection method for abnormal persons in rail transit, which is used for monitoring abnormal persons in railways. Background technique [0002] During the daily operation and maintenance of the railway, there will be a certain flow of people, for example, the normal maintenance of railway workers, pedestrians crossing the railway, or criminals attempting to cause damage to the railway and so on. The abnormal appearance of these personnel seriously affected the normal operation of the railway, causing unnecessary casualties and property losses. In order to avoid the occurrence of such dangers, railways usually adopt measures such as patrolling the railways or using protective nets to prevent losses caused by abnormal intrusion of personnel. [0003] The traditional inspection methods are as follows, all of which have certain defects: such as 1), regu...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the above problems, the present invention proposes a detection method for abnormal personnel in rail transit based on motion recognition, which solves the problem of robustness of space-...

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