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Visual detection method for detecting whether motor cyclist wears helmet or not

A visual inspection and motorcycle technology, applied in the field of image processing, can solve problems such as lack of technology and methods

Active Publication Date: 2016-07-13
JIANGSU UNIV
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Problems solved by technology

At present, the technology and methods in this area are relatively lacking

Method used

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  • Visual detection method for detecting whether motor cyclist wears helmet or not

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[0030] Step 1: Acquisition of background image: install the image acquisition device CCD camera on the side of the road, adjust the position and attitude of the image acquisition device to obtain high-quality images (video); set the actual road image extracted from the video frame Be A; Use the self-adaptive Gaussian mixture model algorithm (this algorithm is commonly used algorithm, do not add details) to extract the background image that does not contain moving object in the video stream and be B;

[0031] Step 2: Segmentation of the moving target: Segmenting the moving target from the captured image can be achieved through the following steps;

[0032] Step 2.1: Background difference method: Subtract images A and B obtained in step 1 to obtain image C:

[0033] Step 2.2: Image binarization. Use the Otsu threshold segmentation method (this algorithm is a commonly used algorithm, do not add details) to carry out binarization processing on the image C in step 2.1 to obtain im...

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Abstract

The invention relates to a visual detection method for detecting whether a motor cyclist wears a helmet or not, and the method comprises two steps: motorcycle dividing and classification for judging whether a concerned object is a motorcycle or not, and the detection whether the helmet is worn or not. The method employs common Haar features as a descriptor and an SVM classifier for the motorcycle classification. We employs CHT (circular Hough transform) to extract a head region for the helmet detection, so as to extract the image features through an HOG (Histogram of oriented gradients) descriptor, and classify targets through employing an MLP (multilayer perception) classifier. The method is high in detection accuracy, is good in instantaneity, and is high in value of engineering application.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to image segmentation and image information acquisition, in particular to a visual detection method for helmet wearing of motorcycle drivers, which is mainly used in road traffic safety monitoring and management. Background technique [0002] Traffic safety has become a major worldwide issue, and the impact of motorcycle safety on human life and property is self-evident. In many countries, with the increase in the number of motorcycles used, their driving speed has also increased accordingly. In addition to the increasingly busy traffic, motorcycle accidents caused by not wearing helmets have increased, causing a large number of casualties and property losses. The phenomenon has become a social problem that cannot be ignored. At present, the supervision of motorcycle drivers not wearing helmets, which only relies on the manual judgment of the traffic police, has become incre...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/54
CPCG06V20/597G06V10/20
Inventor 王海李诚蔡英凤陈龙江浩斌袁朝春徐兴何友国
Owner JIANGSU UNIV
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