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Bus driver behavior identification method and bus driver behavior monitoring system

A recognition method and monitoring system technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve problems such as low efficiency, costly transformation, complex deployment, etc., to achieve high execution efficiency and improve security. , the effect of strong scalability

Pending Publication Date: 2022-03-01
TONGJI UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the existing bus monitoring system needs to manually monitor the driver's behavior through the monitoring method, which is inefficient
However, the existing 3D behavior recognition and smart camera-based face recognition require extremely complex deployment and cost a lot of transformation costs

Method used

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  • Bus driver behavior identification method and bus driver behavior monitoring system
  • Bus driver behavior identification method and bus driver behavior monitoring system
  • Bus driver behavior identification method and bus driver behavior monitoring system

Examples

Experimental program
Comparison scheme
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Embodiment

[0046] A behavior recognition method for bus drivers, such as figure 1 shown, including the following steps:

[0047] S1: Build a video database of bus drivers.

[0048] S2: Classify and calibrate the bus driver videos in the bus driver video database, and construct a training set and a test set;

[0049] The specific steps of step S2 include:

[0050] S21: Obtain the driver's behavior type;

[0051] S22: Perform frame-by-frame calibration on the bus driver video based on the driver behavior type, and divide the labeled picture frames after calibration into a training set and a test set;

[0052] S23: In order to prevent over-fitting, data enhancement is performed on the training set and test set, and random scaling, rotation, translation and brightness adjustment are performed on the pictures, so as to prevent the model from learning irrelevant features and avoid identifying irrelevant elements as features . Data augmentation is performed using ImageDataGenerator include...

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Abstract

The invention relates to a bus driver behavior identification method and a bus driver behavior monitoring system. The bus driver behavior identification method comprises the following steps: S1, constructing a bus driver video database; s2, carrying out classification calibration on bus driver videos in the bus driver video database, and constructing a training set and a test set; s3, constructing a driver behavior perception model; s4, performing optimization training on the driver behavior perception model by using an experience playback method based on the training set and the test set; and S5, obtaining a to-be-identified bus driver video, sending the to-be-identified bus driver video to the driver behavior perception model for identification, and obtaining a driver behavior type. Compared with the prior art, the method has the advantages of being low in transformation cost and high in efficiency, and the bus running safety can be improved.

Description

technical field [0001] The invention relates to the field of bus driving safety monitoring, in particular to a bus driver behavior recognition method and a bus driver behavior monitoring system. Background technique [0002] Buses have become an indispensable means of transportation in the lives of urban residents, and the driving behavior of bus drivers directly affects the safety and efficiency of bus operations. As a dual intervening subject that affects the quality of urban public transport supply and service satisfaction, bus drivers' individual behavior represents the comprehensive image of the city and the level of urban tolerance to a large extent. In recent years, serious bus casualty accidents that have attracted the attention of the whole society have occurred from time to time, and about 90% of the accidents are related to the driver's misbehavior. Therefore, how to regulate and manage the driving behavior of bus drivers has gradually become a key research direc...

Claims

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Application Information

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IPC IPC(8): G06V20/59G06V20/40G06V10/764G06V10/82G06F16/75G06F16/732G06K9/62G06N3/04G06N3/08
CPCG06F16/75G06F16/7328G06N3/08G06N3/045G06F18/2414
Inventor 沈煜朱明志朱劭杰孙奥赵冠华陈康捷
Owner TONGJI UNIV
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