Image-based vehicle detection method and system

A vehicle detection and image technology, applied in the field of vehicle detection, can solve the problem of unstable vehicle recognition results, and achieve the effect of high accuracy

Inactive Publication Date: 2018-11-06
CHONGQING JIAOTONG UNIVERSITY
View PDF10 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, using the above methods, it is necessary to define algorithms, manually extract features, and then combine features to realize vehi

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
  • Image-based vehicle detection method and system
  • Image-based vehicle detection method and system
  • Image-based vehicle detection method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0068] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0069] The embodiment is basically as attached figure 1 Shown:

[0070] The image-based vehicle detection method in this embodiment includes:

[0071] S1, acquire n images of the road. Preferably, the images in this embodiment can be obtained by hovering the UAV 6 at 50m-200m directly above the road, and shooting the camera vertically downwards. The image resolution It can be 3840 pixels×2160 pixels, and n can be 500;

[0072] S2, build a database based on n images. Preferably, when building a database in this embodiment, the n images can be expanded. After the expansion, there are 7726 images in the database. The expansion method can be color Jitter and rotation transformation, after expansion, the number of n b...

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 relates to an image-based vehicle detection method and system, and relates to the field of vehicle detection. The method comprises the steps of S1, acquiring n images of a road; S2, constructing a database according to the n images; S3, calling m images in the database to perform preprocessing, thereby obtaining a training set and a test set, wherein m is smaller than or equal to n;S4, acquiring a deep neural network model, training the deep neural network model according to the training set and the test set to obtain a C model, and executing the step S5 when various parametersof the C model meet a first preset condition; and S5, detecting a vehicle in a new image by utilizing the C model. According to the scheme, the technical problem of how to improve the stability of vehicle identification is solved; and the image-based vehicle detection method and system is suitable for traffic state detection.

Description

technical field [0001] The invention relates to the field of vehicle detection, in particular to an image-based vehicle detection method and system. Background technique [0002] The current vehicle detection method usually uses UAVs for information collection. Compared with fixed information collection points, UAVs can quickly move to places not covered by information collection points for supplementary information collection. At present, about The use of UAVs for vehicle detection has a certain research foundation, such as the use of image registration and change detection based on feature points to achieve real-time detection and tracking of vehicles, or to detect vehicles based on the median background split method, Or perform vehicle detection based on saliency information and Haar-like local shape features. [0003] However, using the above methods, it is necessary to define an algorithm, manually extract features, and then combine features to realize vehicle recognit...

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
IPC IPC(8): G06K9/62
CPCG06F18/2155G06F18/24
Inventor 彭博蔡晓禹唐聚张媛媛李少博
Owner CHONGQING JIAOTONG UNIVERSITY
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