A detection method for abnormal personnel in rail transit based on motion recognition
A motion recognition and personnel detection technology, applied in the field of aviation surveillance, can solve the problem of indistinguishable abnormal personnel and staff, achieve high practicability and robustness, and solve the effect of huge cost
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[0034] In order to make the technical principles of the present invention more clearly understood, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0035] The present invention is a method for detecting abnormal personnel in rail transit based on action recognition, which conducts inspections on the daily operation and maintenance of railways, reduces operation and maintenance costs, and distinguishes between staff and abnormal personnel, and timely checks out risky personnel on the railway, and detects abnormal situations. Alarm to improve the safety of railway operation.
[0036] Such as figure 2 As shown, the present invention trains the SSD (Single Shot Detection) detection model based on convolutional neural network, key point detection model, LSTM action recognition model, Resnet-18 clothing classification model and DNN personnel type classification model, and it is tested, After achieving the c...
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