CN106033605A - Method of using single-frame automobile-motion fuzzy image to test automobile speed - Google Patents
Method of using single-frame automobile-motion fuzzy image to test automobile speed Download PDFInfo
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- CN106033605A CN106033605A CN201510118682.0A CN201510118682A CN106033605A CN 106033605 A CN106033605 A CN 106033605A CN 201510118682 A CN201510118682 A CN 201510118682A CN 106033605 A CN106033605 A CN 106033605A
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- car speed
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- motor racing
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Abstract
The invention discloses a method of using a single-frame automobile-motion fuzzy image to test an automobile speed and relates to a scientific court audio-visual data testing method. The method is characterized by calculating a fuzzy amount of automobile motion in a single frame of image; calculating an automobile motion length and calculating single frame image exposure time to acquire motion time. An automobile motion speed is a ratio of an automobile motion length and motion time. The method has an advantage that the single-frame automobile-motion fuzzy image can be used to measure an instantaneous speed of the automobile at a specific time point.
Description
Technical field
The present invention relates to a kind of forensic science audiovisuals method of inspection, more precisely, be a kind of method checking car speed.
Background technology
In vehicle accident, car speed is the important evidence dividing accident vehicle responsibility.Say on the review paper of the 17th international tribunal's scientific management person conference that in October, 2013 holds in Lyons, France that in inspection video, car speed at least needs 2 two field pictures, the speed calculated by 2 two field pictures is actually average speed, has certain gap with automobile spot speed sometime.Video monitoring inspection Velicle motion velocity is used simply to check a kind of method of car speed.
Summary of the invention
The present invention mainly solves the technical problem existing for prior art, thus proposes a kind of method using single-frame images inspection car speed.
The above-mentioned technical problem of the present invention is mainly addressed by following technical proposals.
The physical length of checklist two field picture motion blur.
The time of exposure of checklist two field picture.
The ratio calculating physical length and time of exposure is car speed.
The speed that the present invention draws only need to use 1 two field picture, and therefore speed is closer to instantaneous velocity, closer to the actual speed of automobile.
Accompanying drawing explanation
Fig. 1 is proportionality coefficient method instrumentation plan.
Fig. 2 is according to video recording equipment imaging optical path figure.
Detailed description of the invention
In conjunction with accompanying drawing, below embodiments of the invention are described in detail so that its superiority and practicality are had more comprehensively by art technology person, deeper into understanding, also protection scope of the present invention is made apparent clear and definite defining.
The present invention is to provide a kind of method using single frames motor racing broad image inspection car speed.
The method using single frames motor racing broad image inspection car speed needs to calculate physical length and the single-frame images time of exposure of single-frame images motion blur, obtains Velicle motion velocity.
The physical length calculating single-frame images motion blur can pass through field survey, and proportionality coefficient method or object distance, focal length ratio relations act realize.
Field survey is to measure move distance the most on the spot.
As it is shown in figure 1, proportionality coefficient method is according to AB physical length in image
, corresponding Pixel of Digital Image number, the pixel count of CD, the physical length of CD。
As in figure 2 it is shown, object distance, focal length ratio relations act are according to object distance during shooting, focal length, motion blur pixel length, subject with focal plane angle is, calculate the physical length of amount of movement blur。
The photographing information of enquiring digital picture obtains time of exposure。
The frame per second of inquiry videoObtain the time of exposure of single frame video image。
Velicle motion velocity。
The above, only presently preferred embodiments of the present invention, not in order to limit the protection domain of invention, all any amendment, equivalent and improvement etc. made within the spirit and principles in the present invention, within being encompassed by protection scope of the present invention.Therefore, scope should be as the criterion with the protection domain that claims are limited.
Claims (9)
1. the method (1) using single frames motor racing broad image inspection car speed, it is characterized in that: the physical length (2) calculating single-frame images motion blur obtains move distance, calculate single-frame images time of exposure (3) and obtain movement time, obtain Velicle motion velocity (4).
A kind of method using single frames motor racing broad image inspection car speed the most according to claim 1, it is characterised in that: the described physical length calculating single-frame images motion blur
(2) method includes a kind of field survey (5), a kind of proportionality coefficient method (6) or a kind of object distance, focal length ratio relations act (7).
A kind of field survey (5) the most according to claim 2 is the physical length measuring on the spot amount of movement blur at the scene.
A kind of proportionality coefficient method (6) the most according to claim 2 is according in image one section of physical length, respective number of pixels, the pixel count of motion blur, calculate the physical length of amount of movement blur。
A kind of object distance, focal length ratio relations act (7) the most according to claim 2, be according to object distance during shooting, focal length, motion blur pixel length, subject with focal plane angle is, calculate the physical length of amount of movement blur。
A kind of method using single frames motor racing broad image inspection car speed the most according to claim 1, it is characterised in that: described calculating single-frame images time of exposure (3) is that the photographing information of enquiring digital picture obtains time of exposure。
A kind of method using single frames motor racing broad image inspection car speed the most according to claim 1, it is characterised in that: described calculating single-frame images time of exposure (3) is that the frame per second of inquiry video is designated as, single-frame images time of exposure。
A kind of method using single frames motor racing broad image inspection car speed the most according to claim 1, it is characterised in that: obtain Velicle motion velocity(4).
A kind of method using single frames motor racing broad image inspection car speed the most according to claim 1, it is characterised in that: only use 1 frame motor racing broad image as sample, i.e. can get the speed of automobile.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510118682.0A CN106033605A (en) | 2015-03-18 | 2015-03-18 | Method of using single-frame automobile-motion fuzzy image to test automobile speed |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510118682.0A CN106033605A (en) | 2015-03-18 | 2015-03-18 | Method of using single-frame automobile-motion fuzzy image to test automobile speed |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106033605A true CN106033605A (en) | 2016-10-19 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510118682.0A Pending CN106033605A (en) | 2015-03-18 | 2015-03-18 | Method of using single-frame automobile-motion fuzzy image to test automobile speed |
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| CN (1) | CN106033605A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106959378A (en) * | 2017-03-30 | 2017-07-18 | 梧州学院 | Single width motion blur image speed computational methods |
| CN110658353A (en) * | 2018-06-29 | 2020-01-07 | 比亚迪股份有限公司 | Method and device for measuring speed of moving object and vehicle |
| CN110850109A (en) * | 2019-11-21 | 2020-02-28 | 中科智云科技有限公司 | Method for measuring vehicle speed based on fuzzy image |
| CN113538807A (en) * | 2021-06-11 | 2021-10-22 | 深圳怡化电脑科技有限公司 | Control method and device of self-service equipment |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103969466A (en) * | 2014-05-09 | 2014-08-06 | 中国联合网络通信集团有限公司 | Method for measuring speed of vehicle and corresponding terminal |
-
2015
- 2015-03-18 CN CN201510118682.0A patent/CN106033605A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103969466A (en) * | 2014-05-09 | 2014-08-06 | 中国联合网络通信集团有限公司 | Method for measuring speed of vehicle and corresponding terminal |
Non-Patent Citations (4)
| Title |
|---|
| HUEI-YUNG LIN, KUN-JHIH LI, CHIA-HONG CHANG: "Vehicle speed detection from a single motion blurred image", 《IMAGE AND VISION COMPUTING》 * |
| 章志成，吴昊: "基于单帧运动模糊图像计算车辆运动速度的方法", 《鉴定实践》 * |
| 陈佳: "基于单幅运动模糊图像的车速测量方法研究", 《制造业自动化》 * |
| 陈佳: "基才计算机视觉的车速测量方法研究", 《贺州学院学报》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106959378A (en) * | 2017-03-30 | 2017-07-18 | 梧州学院 | Single width motion blur image speed computational methods |
| CN110658353A (en) * | 2018-06-29 | 2020-01-07 | 比亚迪股份有限公司 | Method and device for measuring speed of moving object and vehicle |
| CN110850109A (en) * | 2019-11-21 | 2020-02-28 | 中科智云科技有限公司 | Method for measuring vehicle speed based on fuzzy image |
| CN113538807A (en) * | 2021-06-11 | 2021-10-22 | 深圳怡化电脑科技有限公司 | Control method and device of self-service equipment |
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Application publication date: 20161019 |