Motor vehicle traffic violation behavior automatic detection technology based on computer vision

A computer vision and automatic detection technology, applied in the field of computer vision, can solve problems such as hidden dangers in daily traffic and travel, and achieve the effect of high construction and maintenance costs

Pending Publication Date: 2020-08-18
XIAMEN UNIV
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are a large number of traffic violations in daily traffic travel, which make people's daily traffic travel have great hidden dangers
At the same time, motor vehicles generally exist in the streets and alleys, and their illegal behavior makes drivers and pedestrians bear safety risks

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Motor vehicle traffic violation behavior automatic detection technology based on computer vision
  • Motor vehicle traffic violation behavior automatic detection technology based on computer vision
  • Motor vehicle traffic violation behavior automatic detection technology based on computer vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0038] The invention discloses a technology for automatic detection of motor vehicle traffic violations based on computer vision, such as figure 1 , including the following steps:

[0039] S1. Construct a target detection data set;

[0040] S2. Load the YOLOv3 model to initialize the parameters of the model, build the model, and train the model;

[0041] S3, using the trained YOLOv3 model to predict the target category and position coordinates;

[0042] S4. Infer traffic violations according to the target category and location coordinates.

[0043] Wherein, step S1 specifically includes:

[0044] S11. Determine the category required for the data set for the illegal behavior of motor vehicles. The categories that can be automatically detected include overloading and not wearing a helmet. The categories detected by the target detect...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a motor vehicle traffic violation behavior automatic detection technology based on computer vision. The motor vehicle traffic violation behavior automatic detection technologycomprises the following steps: constructing a target detection data set; loading a YOLOv3 model to perform a parameter initialization process of the model, constructing a model, and training the model; predicting a target category and position coordinates by using the trained YOLOv3 model; and inferring traffic violations according to the target category and the position coordinates. For the motorvehicle traffic violation behavior automatic detection technology, based on computer vision, a target detection algorithm based on deep learning and a reasoning mode based on rules are used for automatically detecting traffic violation behaviors; a new thought is provided for traffic violation behavior detection of motor vehicles; and the motor vehicle traffic violation behavior automatic detection technology has excellent extraction efficiency and accuracy.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to an automatic detection technology for motor vehicle traffic violations based on computer vision. Background technique [0002] Existing methods for detecting motor vehicle traffic violations mainly rely on manual methods such as traffic police patrols to detect violations. The disadvantages are that they consume a lot of labor costs and the coverage of time and space is not high. In addition, the use of motor vehicles mainly exists in small and medium-sized cities and rural areas, and its wide range of existence makes the human cost of mobilizing traffic police for rectification huge. [0003] With the country's importance to Internet technology, transportation has entered the era of intelligence. There are a large number of traffic violations in daily traffic trips, which make people's daily traffic trips have great hidden dangers. At the same time, motor vehicles generally exis...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/54G06N3/045G06F18/23213G06F18/241
Inventor 陈龙彪王程魏文轩蓝渊明刘林津王顺平
Owner XIAMEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products