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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, and achieve the effect of eliminating shadow and halo effects and reducing accuracy.

Active Publication Date: 2010-07-07
CENNAVI TECH
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  • Summary
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  • 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

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

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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...

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Abstract

The invention discloses a method and a device for detecting a vehicle at night, which relate to the field of intelligent traffic systems and aim to solve the problem that the influence of illumination and halo of vehicle lamps causes the reduction of accuracy in detecting the vehicle at night. The technical scheme provided by the invention comprises: acquiring adjacent video frames; extracting aninterested area according to a difference between two adjacent video frames; and detecting the vehicle at night according to the interested area. The technical scheme provided by the embodiment of the invention is suitable for the 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

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Application Information

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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
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