Driver attribute identification method and related products

Abstract

The embodiment of the invention provides a driver attribute identification method and a related product, and the method comprises the steps: obtaining an input image which comprises a driver area image; extracting a driver area image in the input image; determining a fuzzy region and a clear region in the driver region image; performing defuzzification processing on the fuzzy area based on a preset maximum posteriori framework model to obtain the processed driver area image; and performing attribute identification on the processed driver region image by adopting a preset deep neural network model to obtain a target attribute identifier corresponding to the driver. According to the method and the device, the blurred image can be clearly processed, so that the identification precision of thedriver attribute is improved.

Description

technical field

[0001] The present application relates to the technical field of driver attribute recognition, in particular to a driver attribute recognition method and related products. Background technique

[0002] With the rapid development of road traffic, fast, comfortable and convenient is the common feeling of people, but the resulting traffic accidents have also become a serious social problem that people pay attention to. Many traffic accidents are caused by bad driving behaviors of drivers. At home and abroad, some research results have been obtained on identifying bad violations of drivers. However, in practical applications, on the one hand, due to the high-speed movement of the vehicle, on the other hand, the driver may be shaking. When shooting, the driver may be blurred, which reduces the recognition accuracy of the driver's attributes. How to The problem of accurately identifying the attributes of drivers needs to be solved urgently. Contents of the inve...

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