Vehicle attribute recognition method, device, storage medium, and electronic device

Abstract

The invention provides a vehicle attribute recognition method, a device, a storage medium and an electronic device. The invention provides a vehicle attribute recognition method, includes acquiring images to be monitored, and obtains the contour data information of the vehicle to be identified from the image to be monitored through the preset vehicle detection model, Then, the vehicle detection frame is determined according to the contour data information, and an image to be recognized corresponding to the vehicle to be recognized is intercepted from the image to be monitored by the vehicle detection frame, and then feature extraction is performed on the image to be recognized through a preset vehicle attribute recognition model to obtain attribute feature information of the vehicle to berecognized in the image to be recognized. The vehicle attribute recognition method provided by the invention can realize the function of identifying and screening the suspected vehicle in the securityapplication scene, greatly accelerates the recognition speed and accuracy, and reduces the input of the human cost.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a vehicle attribute recognition method, device, storage medium and electronic equipment. Background technique [0002] With the continuous development of the Internet and artificial intelligence technology, more and more fields have begun to involve computer vision automatic calculation and analysis, among which the monitoring and security field is one of the most important application scenarios. [0003] In order to be able to identify the attributes of the suspect vehicle by using the surveillance video in the security scene, so as to realize the identification and tracking of the suspect vehicle, in the prior art, most of them use human eyes to observe and identify the suspect vehicle first from the surveillance video. Get the target vehicle, and then track the specific vehicles in chronological order. [0004] However, using traditional human eye observation to ident...

AI Technical Summary

Problems solved by technology

[0004] However, the use of traditional human eye observation for vehicle attribute recognition has large errors and requires a lot of manpower and material resources, making it difficult to adapt to suspect vehicle recognition in actual security application scenarios

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