Vehicle velocity measurement method based on image characteristics

A technology of image features and vehicles, applied in the traffic control system of road vehicles, devices and instruments used to measure the time required to move a certain distance, etc., can solve problems such as large detection coverage area, camera shake, and susceptibility to shadows , to achieve the effects of simplifying subsequent processing, suppressing influence, and strong robustness

Inactive Publication Date: 2011-07-27
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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AI Technical Summary

Problems solved by technology

[0003] Although the vehicle speed measurement method based on target extraction and tracking has a large detection coverage area, its algorithm is relatively complex and its real-time performance is poor.
The method based on the virtual coil is simple and effective, but the general vehicle speed measurement method based on the virtual coil is too simple, and it is not robust to light changes, especially susceptible to shadows
In addition, due to the influence of the environment, the camera will shake slightly in real-time applications, which will bring large errors to the detection

Method used

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  • Vehicle velocity measurement method based on image characteristics
  • Vehicle velocity measurement method based on image characteristics
  • Vehicle velocity measurement method based on image characteristics

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Embodiment Construction

[0046] The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0047] Please refer to figure 1 , a vehicle speed measurement method based on image features comprises steps:

[0048] S1, the image preprocessing module, that is, two virtual coils are set on the lane image, the real distance between the coils is calculated, and a sub-image area of ​​a corresponding size is obtained;

[0049] S2. The vehicle capture module, which performs image processing and analysis on the sub-image area, captures the signal when the vehicle passes through the two coils and obtains the time;

[0050] S3. The vehicle speed calculation module, that is, calculate the driving speed of the vehicle based on the signal, time, and the real distance.

[0051] Please refer to figure 2 , in one embodiment of the present invention, step S1 includes the steps of:

[0052] S11. Setting virtual coils A and B. In this em...

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Abstract

The invention discloses a vehicle velocity measurement method based on image characteristics. In the method, a fixed camera is arranged right above a lane to obtain the information of a lane image; moreover, two virtual coils A and B are arranged on the lane image; then changes of the image characteristic information in the coils are detected by continuous multiframes so as to capture whether a vehicle drives into the coils or not; when a set threshold condition is satisfied, a signal is outputted and the time is recorded; therefore, the driving velocity of the vehicle is calculated and obtained by obtaining the time difference for the vehicle driving into the coils A and B and the real distance between the two coils. The vehicle velocity measurement method based on image characteristics is simple and effective to measure vehicle velocities in real time, has very strong robustness on illumination condition changes and slight shaking of the camera in real-time environments, and can effectively inhibit the influences of shadows on the measurement.

Description

technical field [0001] The invention relates to the fields of image processing and intelligent transportation, in particular to a vehicle speed measurement method based on image features. Background technique [0002] Vehicle speed measurement is an important part of intelligent transportation system, which provides real-time traffic data for traffic supervision and management, and vehicle speed measurement is carried out on the basis of vehicle detection. There are usually two types of vehicle detection methods: intrusive and non-invasive. The former is inconvenient to install, such as loop coil detection, piezoelectric sensors, magnetic sensors, pneumatic road tubes, etc. These devices need to be installed directly on the road when they are used. Or buried under the road surface; the latter is easy to install, non-destructive, and cost-saving, such as video image processing, microwave radar, infrared sensors, ultrasonic detectors, etc. Among them, the advantages of video i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/052G01P3/64
Inventor 张和元方伟赵勇罗卫袁誉乐
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
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