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A Video Velocity Measurement Method Based on 3D Calibration and Feature Point Matching

A feature point matching and three-dimensional calibration technology, which is applied in the traffic control system of road vehicles, image data processing, instruments, etc., can solve the problems of vehicle speed error and inability to reflect the real situation well, and achieve overcoming measurement errors and accurate measurement speed effect

Active Publication Date: 2015-12-09
ZHEJIANG ICARE VISION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method is affected by factors such as impact angle, braking force, road conditions, etc., and the calculated speed often has a large error, which cannot reflect the real situation at the time of the accident.

Method used

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  • A Video Velocity Measurement Method Based on 3D Calibration and Feature Point Matching
  • A Video Velocity Measurement Method Based on 3D Calibration and Feature Point Matching
  • A Video Velocity Measurement Method Based on 3D Calibration and Feature Point Matching

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Embodiment Construction

[0037] The technical solutions of the present invention will be further specifically described below through examples.

[0038] 1. Multi-point 3D coordinate measurement in the scene:

[0039] exist figure 1 Establish a three-dimensional coordinate system in the scene, figure 2 10 points in the scene are selected in , and the three-dimensional coordinates of the selected 10 points in the scene are measured in this coordinate system. Get the following data (unit: meter).

[0040] The three-dimensional coordinates of 10 points={0,0,0.055,

[0041] 0,0,1.440,

[0042] 0,0.752,1.440,

[0043] 4.868,0.752,0.055,

[0044] 4.868,0.752,1.428,

[0045] 4.868,0,1.428,

[0046] 0,0,0.750,

[0047] 0,0.752,0.750,

[0048] 4.868,0,0.750,

[0049] 4.868,0.752,0.750};

[0050] 2. Obtain the two-dimensional image coordinates of the marked points in the scene through the algorithm:

[0051] by right figure 2 Mark the 10 points selected in , and obtain the two-dimensional coordin...

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Abstract

The invention relates to a video speed measurement method based on three-dimensional calibration and feature point matching. Vehicle speeds calculated by using the conventional video speed measurement method are usually relatively large in error, and can not well response actual situations when accidents happen. The video speed measurement method is used for measuring the speed by the following steps of: firstly, establishing a three-dimensional coordinate system in a scene, selecting at least six space points, recording a three-dimensional coordinate of each point, carrying out manual label on the points with recorded three-dimensional coordinates in a two-dimensional scene image, recording the three-dimensional coordinates of each corresponding point, obtaining a three-dimensional perspective model of a camera through using an algorithm, and selecting an interactive model, wherein a, the speed measurement is carried out a manually-selected same point of a same vehicle from any two frames of a video; and b, the motion speed measurement of the vehicle is carried on a certain selected point of a certain frame of a motion vehicle in the video. The invention can directly measure the speed, does not need additional hardware devices and only needs scene label in the field so as to finish the speed measurement on the vehicle in the scene and be further capable of repeatedly measuring to obtain relatively exact measured speed.

Description

technical field [0001] The invention belongs to the technical field of video surveillance, in particular to a video velocity measurement method based on three-dimensional calibration and feature point matching. Background technique [0002] Vehicle running speed measurement is one of the application hotspots in the field of video surveillance and intelligent transportation. It not only involves the management and statistics of road traffic, but also involves the identification of responsibilities after accidents. In terms of real-time speed measurement, the current speed measurement methods mainly use hardware devices, such as ground induction coils for speed measurement. Ground induction coils are buried under the road at a certain distance, and the vehicle speed is calculated by using the known distance and the passing time of the vehicle; another example is laser radar speed measurement. Use the time difference of laser reflection to calculate the target distance, and the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/20G08G1/052G06T7/246G06T7/285G06T7/80
Inventor 尚凌辉杨永明杜雅慧高勇刘嘉
Owner ZHEJIANG ICARE VISION TECH
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