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Non-motor vehicle helmet wearing detection method based on improved YOLOv3 algorithm

A non-motor vehicle and detection method technology, which is applied in the field of computer vision target detection, can solve the problems of slow speed and low efficiency, and achieve the effects of good detection accuracy, good detection effect, and good target detection ability

Inactive Publication Date: 2021-11-02
ZHEJIANG UNIV OF TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the rapid increase in the number of vehicles on the road has brought new challenges to the detection method, and the traditional manual detection method is inefficient and slow

Method used

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  • Non-motor vehicle helmet wearing detection method based on improved YOLOv3 algorithm
  • Non-motor vehicle helmet wearing detection method based on improved YOLOv3 algorithm
  • Non-motor vehicle helmet wearing detection method based on improved YOLOv3 algorithm

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Embodiment Construction

[0026] Below in conjunction with accompanying drawing, the present invention will be further described:

[0027] Such as figure 1 As shown, a non-motor vehicle helmet wearing detection method based on the improved YOLOv3 algorithm includes the following steps:

[0028] 1) Based on the video stream provided by the traffic monitoring equipment, the training data set is established through the method of data enhancement;

[0029] Step 1) use the road traffic video recorded by the traffic monitoring equipment as sample data, and the resolution of the road traffic video is 1920x1080; the sample data is converted into an image sequence at 25 frames per second, and a video image is intercepted every 10 frames as In the image data set, images that do not contain non-motor vehicles are eliminated, and data augmentation is performed on the obtained images through data enhancement methods. The data enhancement methods specifically include image rotation, target occlusion, and increased ...

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Abstract

The invention discloses a non-motor vehicle helmet wearing detection method based on an improved YOLOv3 algorithm, and the method comprises the steps: obtaining a traffic monitoring video stream, carrying out the processing and data enhancement, and building a training data set; constructing an improved YOLOv3 target detection model; training the improved YOLOv3 algorithm model by using the training data set, and loading the optimal weight file after training to the model to obtain a non-motor vehicle helmet detection network; reading a traffic monitoring video frame image to be detected, and outputting a corresponding helmet detection result by adopting the non-motor vehicle helmet detection network. The non-motor vehicle helmet wearing detection method solves the problem that a traditional manual detection method is low in efficiency, and improves the speed and accuracy of non-motor vehicle helmet wearing detection.

Description

technical field [0001] The invention relates to the technical field of computer vision target detection, in particular to a non-motor vehicle helmet wearing detection method based on the improved YOLOv3 algorithm. Background technique [0002] With the continuous development of computer vision related technologies, target detection technology has been widely used in the industrial field, and road traffic monitoring is one of the important application fields. In recent years, collisions between non-motor vehicles and motor vehicles have occurred frequently. As the only safety equipment for non-motor vehicle riders, helmets can effectively reduce the injuries suffered by non-motor vehicle riders in traffic accidents. In order to ensure the safety of non-motor vehicle riders on the road, it is necessary to detect whether the non-motor vehicle riders on the road wear helmets. However, the rapid increase in the number of vehicles on the road has brought new challenges to detecti...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G08G1/01
CPCG06N3/08G08G1/0125G08G1/0137G06N3/045G06F18/2415G06F18/253
Inventor 郑水华徐逸伦孙泽楠林伟
Owner ZHEJIANG UNIV OF TECH