CN106959378B - Single width motion blur image speed calculation method - Google Patents
Single width motion blur image speed calculation method Download PDFInfo
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- CN106959378B CN106959378B CN201710215864.9A CN201710215864A CN106959378B CN 106959378 B CN106959378 B CN 106959378B CN 201710215864 A CN201710215864 A CN 201710215864A CN 106959378 B CN106959378 B CN 106959378B
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- 238000004364 calculation method Methods 0.000 title claims abstract description 27
- 238000000034 method Methods 0.000 claims abstract description 29
- 238000005259 measurement Methods 0.000 claims abstract description 9
- 238000012545 processing Methods 0.000 claims abstract description 9
- 238000012360 testing method Methods 0.000 abstract description 8
- 238000009434 installation Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P3/00—Measuring linear or angular speed; Measuring differences of linear or angular speeds
- G01P3/36—Devices characterised by the use of optical means, e.g. using infrared, visible, or ultraviolet light
- G01P3/38—Devices characterised by the use of optical means, e.g. using infrared, visible, or ultraviolet light using photographic means
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- Engineering & Computer Science (AREA)
- Electromagnetism (AREA)
- Power Engineering (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a kind of single width motion blur image speed calculation methods, are related to image processing techniques, and this method includes following processing step: step 1: the moving image of real-time grasp shoot vehicle；Step 2: the fuzzy pixel quantity of institute's measuring car is obtained by the wheel hub measurement of institute's measuring car in image；Step 3: the fuzzy pixel quantity of institute's measuring car is obtained into the speed of institute's measuring car by car speed calculation formula.The present invention calculates fuzzy pixel quantity by the wheel hub of vehicle in candid photograph image and obtains the speed of institute's measuring car by car speed calculation formula, can effectively simplify vehicle speed measuring equipment and survey calculation process, improve the processing speed and stability to test the speed.
Description
Technical field
The present invention relates to vehicle speed measurement field more particularly to a kind of single width motion blur image speed calculation methods.
Background technique
Testing the speed is the important means of traffic administration.Current speed-measuring method mainly has using ancillary equipment speed-measuring method and base
In the speed-measuring method of video technique.Mainly there are radar velocity measurement and ground sensing coil speed measuring etc. several using ancillary equipment speed-measuring method,
Such method is respectively necessary for using the ancillary equipments such as laser, radar or ground induction coil in testing the speed, and in the measurements between vehicle
It is easy to interfere with each other and generation is obscured, due to being limited by ancillary equipment, so that the acquisition of data is inflexible.Based on video
The speed-measuring method of technology mainly have large scene speed-measuring method, binocular or multi-lens camera speed-measuring method and panoramic camera and
The speed testing mode that feature video camera combines.Wherein, the precision of large scene speed-measuring method, measurement is done by shadow and other vehicles
It is very big to disturb influence.The video camera that binocular and multi-lens camera use is more, installation trouble, and Stereo matching is difficult.Based on panorama
The mode that video camera and feature video camera combine equally has there are the required video camera used is more, and installation requirement complexity etc. is no
Foot.As it can be seen that requirement in existing various vehicle speed measuring methods to equipment is high, between by environment and vehicle influence each other compared with
Greatly, and measurement process is complicated, it usually needs measures continuous image or one section of video to measure meter to the speed of vehicle
Calculation can not calculate car speed by single image.
Summary of the invention
It is an object of the present invention to provide a kind of single width motion blur image speed calculation methods, can effectively simplify vehicle survey
Fast equipment and survey calculation process, improve the stability to test the speed.
To realize the purpose, a kind of single width motion blur image speed calculation method is provided, is related to capturing equipment, be somebody's turn to do
Method includes following processing step:
Step 1: the moving image of real-time grasp shoot vehicle；
Step 2: the fuzzy pixel quantity of institute's measuring car is obtained by the wheel hub measurement to institute's measuring car in image；
Step 3: the fuzzy pixel quantity of institute's measuring car is obtained into the speed of institute's measuring car by car speed calculation formula,
The car speed calculation formula is,
Wherein, v is running velocity, and z is the vertical range for capturing equipment camera lens and vehicle, and N is the vague image of vehicle
Prime number amount, sxFor the pixel size of setting, T is the time for exposure for capturing equipment, and f is to capture device focus.
Preferably, in step 2, the calculating process of the fuzzy pixel quantity is calculates separately institute's measuring car one in image
The perpendicular diameter and horizontal diameter of wheel hub；Horizontal diameter is subtracted into perpendicular diameter again and obtains fuzzy pixel quantity.
It preferably, also first will figure in calculating separately image before the perpendicular diameter and horizontal diameter of institute's measuring car wheel hub
Multiple as reducing setting, and horizontal diameter is subtracted into the resulting value enlarged drawing diminution of perpendicular diameter multiple used and is obtained
Fuzzy pixel quantity.
Preferably, in the calculating process of fuzzy pixel quantity, also to the front and back wheel hub of institute's measuring car in image respectively into
The fuzzy pixel number amount of row calculates and resulting fuzzy pixel quantity is averaged.
Preferably, the camera lens for capturing equipment and being set to the position with the wheel hub of vehicle level and capturing equipment setting
Towards the traffic direction perpendicular to vehicle.
Compared with prior art, the present invention the beneficial effect is that:
The present invention calculates fuzzy pixel quantity and by car speed calculating by capturing the wheel hub of speed in image
Formula obtains the speed of institute's measuring car, can effectively simplify vehicle speed measuring equipment and survey calculation process, improves the processing speed to test the speed
Degree and stability.The speed that an image can be achieved with more vehicles need to be only captured in the present invention to measure, and greatly improved
Processing speed, and treatment process is ingenious, can efficiently reduce influence of the environment to testing the speed, while can effectively reduce use
Equipment amount, simplify operation.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Specific embodiment
Below with reference to example, the invention will be further described, but does not constitute any limitation of the invention, Ren He
The modification for the limited times that scope of the invention as claimed is made, still in scope of the presently claimed invention.
As shown in Figure 1, the present invention relates to grab the present invention provides a kind of single width motion blur image speed calculation method
Equipment is clapped, this method includes following processing step:
Step 1: the moving image of real-time grasp shoot vehicle；
Step 2: the fuzzy pixel quantity of institute's measuring car is obtained by the wheel hub measurement to institute's measuring car in image；
Step 3: the fuzzy pixel quantity of institute's measuring car is obtained into the speed of institute's measuring car by car speed calculation formula.
Capture equipment be set to the position with the wheel hub of vehicle level and capture equipment setting camera lens direction perpendicular to
The traffic direction of vehicle.
In the present embodiment, the image captured to candid photograph equipment is received and is handled and obtains final institute's measuring car
Speed can be computer.
In step 3, car speed calculation formula is,
Wherein, v is running velocity, and z is the vertical range for capturing equipment camera lens and vehicle, and N is the vague image of vehicle
Prime number amount, sxFor the pixel size of setting, T is the time for exposure for capturing equipment, and f is to capture device focus.
In the present embodiment, capturing equipment is camera, wherein captures pixel size, time for exposure and the focal length of equipment
It can according to need and set, at work, pixel size, time for exposure and the focal length for capturing equipment are fixed value.It captures
The vertical range value of equipment camera lens and vehicle can specifically be adjusted according to the lane where vehicle, to make to measure more stable
With it is accurate.
In step 2, the calculating process for obscuring pixel quantity is calculate separately institute's measuring car wheel hub in image vertical
Diameter and horizontal diameter；Horizontal diameter is subtracted into perpendicular diameter again and obtains fuzzy pixel quantity.It is surveyed in calculating separately image
Before the perpendicular diameter and horizontal diameter of one wheel hub of vehicle, the multiple that can also first set image down, and by horizontal diameter
It subtracts the resulting value enlarged drawing diminution of perpendicular diameter multiple used and obtains fuzzy pixel quantity.In the meter of fuzzy pixel quantity
During calculation, can also the front and back wheel hub to institute's measuring car in image carry out fuzzy pixel number amount respectively and calculate and by resulting mould
Paste pixel quantity is averaged.
In the present embodiment, fuzzy pixel number amount is carried out respectively to the front and back wheel hub of institute's measuring car in image to calculate and by institute
The fuzzy pixel quantity obtained, which average, can effectively improve the accuracy that gained obscures pixel quantity, so that final institute
It is more acurrate to obtain speed.During survey calculation, do not need to carry out at diminution image if the pixel for capturing equipment is not high
Reason, if the wheel hub of institute's measuring car is only captured to one in the image captured, by calculating the fuzzy pixel quantity of the wheel hub i.e.
The speed of measuring car can be measured.
The working principle of the invention: equipment will be captured and be set to the position with the wheel hub of vehicle level and capture equipment and set
Traffic direction of the camera lens direction set perpendicular to speed；At work, the moving image of equipment real-time grasp shoot vehicle is captured；From the background
Computer is handled by the multiple for first setting image down, then calculates separately the vertical straight of institute's measuring car wheel hub in image
Horizontal diameter is subtracted the resulting value enlarged drawing diminution of perpendicular diameter multiple used and obtains fuzzy pixel by diameter and horizontal diameter
Quantity also carries out fuzzy pixel number amount respectively to the front and back wheel hub of institute's measuring car in image and calculates and by resulting fuzzy pixel number
Amount is averaged to obtain required average blur pixel quantity；Background process computer is again by the fuzzy pixel of institute's measuring car
Quantity obtains the speed of institute's measuring car by car speed calculation formula.
Vehicle speed measuring equipment and survey calculation process can effectively be simplified through the invention, improve the processing speed to test the speed and steady
It is qualitative.
The above is only the preferred embodiment of the present invention, it should be pointed out that for those skilled in the art, is not taking off
Under the premise of from structure of the invention, several modifications and improvements can also be made, these all will not influence the effect that the present invention is implemented
And patent practicability.
Claims (4)
1. a kind of single width motion blur image speed calculation method, be related to capturing equipment, it is characterised in that: this method include with
Lower processing step:
Step 1: the moving image of real-time grasp shoot vehicle；
Step 2: the fuzzy pixel quantity of institute's measuring car, the vague image are obtained by the wheel hub measurement to institute's measuring car in image
The calculating process of prime number amount is to calculate separately the perpendicular diameter and horizontal diameter of institute's measuring car wheel hub in image；It again will be horizontal straight
Diameter subtracts perpendicular diameter and obtains fuzzy pixel quantity；
Step 3: the fuzzy pixel quantity of institute's measuring car is obtained into the speed of institute's measuring car by car speed calculation formula,
The car speed calculation formula is,
Wherein, v is running velocity, and z is the vertical range for capturing equipment camera lens and vehicle, and N is the fuzzy pixel number of vehicle
Amount, SxFor the pixel size of setting, T is the time for exposure for capturing equipment, and f is to capture device focus.
2. a kind of single width motion blur image speed calculation method according to claim 1, it is characterised in that: counting respectively
In nomogram picture before the perpendicular diameter and horizontal diameter of institute's measuring car wheel hub, the multiple for also first setting image down, and will
Horizontal diameter subtracts the resulting value enlarged drawing diminution of perpendicular diameter multiple used and obtains fuzzy pixel quantity.
3. a kind of single width motion blur image speed calculation method according to claim 1 or 2, it is characterised in that: in mould
In the calculating process for pasting pixel quantity, also carries out fuzzy pixel number amount respectively to the front and back wheel hub of institute's measuring car in image and calculate simultaneously
Resulting fuzzy pixel quantity is averaged.
4. a kind of single width motion blur image speed calculation method according to claim 1, it is characterised in that: the candid photograph
Equipment is set to the position with the wheel hub of vehicle level and captures operation side of the camera lens direction perpendicular to vehicle of equipment setting
To.
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| CN107328952B (en) * | 2017-05-05 | 2019-06-18 | 四川大学 | Flight path velocity stability evaluation scheme when a kind of no true value |
| CN110658353B (en) * | 2018-06-29 | 2021-04-20 | 比亚迪股份有限公司 | Method and device for measuring speed of moving object and vehicle |
| CN110850109B (en) * | 2019-11-21 | 2022-04-22 | 中科智云科技有限公司 | Method for measuring vehicle speed based on fuzzy image |
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| JP3403697B2 (en) * | 1999-05-28 | 2003-05-06 | 日本電信電話株式会社 | Image processing method and apparatus |
| CN200956032Y (en) * | 2006-05-08 | 2007-10-03 | 胡新国 | Image-method motor vehicle wheel speed, vehicle speed and positioning-measuring instrument |
| CN101187671B (en) * | 2007-12-27 | 2010-06-02 | 北京中星微电子有限公司 | Method and device for determining automobile driving speed |
| CN102136196A (en) * | 2011-03-10 | 2011-07-27 | 北京大学深圳研究生院 | Vehicle velocity measurement method based on image characteristics |
| DE102012017441A1 (en) * | 2012-09-04 | 2014-03-06 | Christoph Münz | wheel detection |
| CN103063143B (en) * | 2012-12-03 | 2016-05-11 | 苏州佳世达电通有限公司 | Measuring method based on image recognition and system thereof |
| CN106033605A (en) * | 2015-03-18 | 2016-10-19 | 章志成 | Method of using single-frame automobile-motion fuzzy image to test automobile speed |
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