Method and device for detecting vehicle at night

A vehicle detection and vehicle technology, which is applied in traffic flow detection, character and pattern recognition, image data processing, etc., can solve the problem of reduced accuracy of vehicle detection at night, achieve the effect of eliminating shadows and halos, and solve the effect of reducing accuracy

Active Publication Date: 2013-02-13
CENNAVI TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a method and device for detecting vehicles at night, which solves the problem of reduced accuracy of vehicle detection at night due to the influence of vehicle lights and halos

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
  • Method and device for detecting vehicle at night
  • Method and device for detecting vehicle at night
  • Method and device for detecting vehicle at night

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] In order to solve the problem of reduced accuracy of vehicle detection at night due to shadows and halos, embodiments of the present invention provide a method and device for vehicle detection at night.

[0021] Such as figure 1 As shown, the night vehicle detection method provided by the embodiment of the present invention includes:

[0022] Step 101, obtaining adjacent video frames;

[0023] Step 102, extracting the region of interest according to the difference between two adjacent video frames;

[0024] Step 103, detecting vehicles at night according to the region of interest.

[0025] The nighttime vehicle detection method provided by the embodiment of the present invention utilizes the difference between two adjacent video frames so that the moving target is retained in the difference image, thereby obtaining a region of interest, which has a certain degree of Gradient effect, so that some slowly changing shadows and halos are subtracted when performing differe...

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 present invention relates to the field of intelligent traffic systems, and particularly discloses a method and device for detecting nighttime vehicles so as to resolve the problem that the accuracy of nighttime vehicles detection is reduced due to the impact of illumination and halo of vehicle lamps. The method for detecting nighttime vehicles comprises the following steps of: acquiring adjacent video frames (101); extracting an interested area on the basis of a difference between two adjacent video frames (102); according to the interested area, detecting nighttime vehicles (103). The technical scheme, provided by examples of the present invention, is suitable for intelligent traffic systems.

Description

technical field [0001] The invention relates to the field of intelligent traffic systems, in particular to a method and device for detecting vehicles at night. Background technique [0002] Vehicle detection is an important part of intelligent transportation system. Low illuminance and large changes in light intensity at night are the biggest problems in all-weather detection of vehicles. [0003] In the prior art, the background subtraction method is mostly used to extract the region of interest, and the vehicle is detected according to the extracted region of interest. The background difference method obtains the moving foreground through the difference between the current frame image and the background frame image, and background extraction and real-time update are the key steps of the background difference method. [0004] In the process of implementing the present invention, the inventors found that due to the large changes in light intensity at night, especially the ...

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 Patents(China)
IPC IPC(8): G06K9/00G06T5/50
CPCG06K9/00791G08G1/01G06T2207/30256G06T2207/30261G06T7/11G06T7/174G06V20/56
Inventor 胡健周子庭魏俊华
Owner CENNAVI TECH
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