CN106959378A - Single width motion blur image speed computational methods - Google Patents
Single width motion blur image speed computational methods Download PDFInfo
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- CN106959378A CN106959378A CN201710215864.9A CN201710215864A CN106959378A CN 106959378 A CN106959378 A CN 106959378A CN 201710215864 A CN201710215864 A CN 201710215864A CN 106959378 A CN106959378 A CN 106959378A
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- 238000000205 computational method Methods 0.000 title claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 32
- 238000005259 measurement Methods 0.000 claims abstract description 10
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims 1
- 238000004364 calculation method Methods 0.000 abstract description 7
- 238000012545 processing Methods 0.000 abstract description 6
- 238000012360 testing method Methods 0.000 description 5
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
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)
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Abstract
The invention discloses a kind of single width motion blur image speed computational methods, it is related to image processing techniques, this method includes following process 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 to the speed of institute's measuring car by car speed computing formula.The present invention calculates fuzzy pixel quantity by capturing the wheel hub of vehicle in image and the speed of institute's measuring car is obtained by car speed computing formula, can effectively simplify vehicle speed measuring equipment and survey calculation process, improves the processing speed and stability tested 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 computational methods.
Background technology
It is the important means of traffic administration to test the speed.Current speed-measuring method mainly has using auxiliary 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 auxiliary equipment speed-measuring method,
Such method is respectively necessary for using the auxiliary equipments such as laser, radar or ground induction coil in testing the speed, and in the measurements between vehicle
Easily interfere and generation is obscured, due to being limited by auxiliary equipment so that the collection underaction of data.Based on video
The speed-measuring method of technology mainly has large scene speed-measuring method, binocular or a multi-lens camera speed-measuring method, and panoramic camera and
Mode that what feature video camera was combined test the speed.Wherein, large scene speed-measuring method, the precision of measurement is done by shadow and other vehicles
Disturb influence very big.The video camera that binocular and multi-lens camera are used is more, installs trouble, and Stereo matching is difficult.Based on panorama
The mode that video camera and feature video camera are combined, equally has the video camera used in the presence of needed for many, and installation requirement complexity is waited not
Foot.It can be seen that, requirement to equipment is high in existing various vehicle speed measuring methods, by between environment and vehicle influence each other compared with
Greatly, and measurement process is complicated, it usually needs measure continuous image or one section of video measures meter come the speed to vehicle
Calculation can not be calculated car speed by single image.
The content of the invention
It is an object of the present invention to provide a kind of single width motion blur image speed computational methods, it can effectively simplify vehicle survey
Fast equipment and survey calculation process, improve the stability tested the speed.
To realize the purpose there is provided a kind of single width motion blur image speed computational methods, the present invention relates to candid photograph
Equipment, this method includes following process 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 to the speed of institute's measuring car by car speed computing formula.
Preferably, in step 3, the car speed computing formula is,
Wherein, v is running velocity, and z is captures the vertical range of equipment camera lens and vehicle, and N is the vague image of vehicle
Prime number amount, sxFor the pixel size of setting, T is captures the time for exposure of equipment, and f is candid photograph device focus.
Preferably, in step 2, the calculating process of the fuzzy pixel quantity is institute's measuring car one in calculating image respectively
The perpendicular diameter and horizontal diameter of wheel hub；Horizontal diameter is subtracted into perpendicular diameter again and obtains fuzzy pixel quantity.
Preferably, calculating respectively in image before the perpendicular diameter and horizontal diameter of the wheel hub of institute's measuring car one, also first will figure
As reducing the multiple set, and the multiple that horizontal diameter is subtracted used by the value enlarged drawing diminution obtained by perpendicular diameter is obtained
Fuzzy pixel quantity.
Preferably, in the calculating process of fuzzy pixel quantity, also the front and rear wheel hub of institute's measuring car in image is entered respectively
The fuzzy pixel count amount of row calculates and the fuzzy pixel quantity of gained is averaged.
Preferably, it is described to capture the camera lens that equipment is arranged at the position with the wheel hub level of vehicle and captures equipment setting
Towards the traffic direction perpendicular to vehicle.
Compared with prior art, its advantage is the present invention：
The present invention calculates fuzzy pixel quantity by capturing the wheel hub of speed in image and calculated by car speed
Formula obtains the speed of institute's measuring car, can effectively simplify vehicle speed measuring equipment and survey calculation process, improves the processing speed tested the speed
Degree and stability.The speed that an image can be achieved with many vehicles need to be only captured in the present invention to measure, and greatly improved
Processing speed, and processing procedure is ingenious, can efficiently reduce influence of the environment to testing the speed, be used while can effectively reduce
Equipment amount, simplify operation.
Brief description of the drawings
Fig. 1 is flow chart of the invention.
Embodiment
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 number of time that scope of the invention as claimed is made, still in scope of the presently claimed invention.
As shown in figure 1, the invention provides a kind of single width motion blur image speed computational methods, the present invention relates to grab
Equipment is clapped, this method includes following process 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 to the speed of institute's measuring car by car speed computing formula.
Capture equipment be arranged at the position with the wheel hub level of vehicle and capture equipment setting camera lens towards perpendicular to
The traffic direction of vehicle.
In the present embodiment, the image captured to capturing equipment is received and handled and draws final institute's measuring car
Speed can be computer.
In step 3, car speed computing formula is,
Wherein, v is running velocity, and z is captures the vertical range of equipment camera lens and vehicle, and N is the vague image of vehicle
Prime number amount, sxFor the pixel size of setting, T is captures the time for exposure of equipment, and f is candid photograph device focus.
In the present embodiment, it is camera to capture equipment, wherein, capture pixel size, time for exposure and the focal length of equipment
It can be set as needed, at work, pixel size, time for exposure and the focal length for capturing equipment are fixed value.Capture
The vertical range value of equipment camera lens and vehicle can be according to where vehicle track specifically adjusted so that measurement it is more stable
With it is accurate.
In step 2, obscure pixel quantity calculating process for respectively calculating image in the wheel hub of institute's measuring car one it is vertical
Diameter and horizontal diameter；Horizontal diameter is subtracted into perpendicular diameter again and obtains fuzzy pixel quantity.Surveyed in image is calculated respectively
Before the perpendicular diameter and horizontal diameter of the wheel hub of vehicle one, the multiple that first can also be set image down, and by horizontal diameter
Subtract the diminution of the value enlarged drawing obtained by perpendicular diameter multiple used and obtain fuzzy pixel quantity.In the meter of fuzzy pixel quantity
During calculation, fuzzy pixel count amount can also be carried out respectively to the front and rear wheel hub of institute's measuring car in image and calculated and by the mould of gained
Paste pixel quantity is averaged.
In the present embodiment, fuzzy pixel count amount is carried out respectively to the front and rear 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 of the fuzzy pixel quantity of gained so that final institute
Obtain speed more accurate.During survey calculation, image need not be carried out if the pixel for capturing equipment is not high at diminution
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 operation principle of the present invention：Equipment will be captured to be arranged at the position with the wheel hub level of vehicle and capture equipment
Traffic direction of the camera lens direction of setting perpendicular to speed；At work, the moving image of equipment real-time grasp shoot vehicle is captured；Afterwards
Platform handles computer by the multiple that first sets image down, and the vertical of the wheel hub of institute's measuring car one in image is then calculated respectively
Diameter and horizontal diameter, horizontal diameter are subtracted the multiple used of the value enlarged drawing diminution obtained by perpendicular diameter and obtain vague image
Prime number amount, also carries out fuzzy pixel count amount and calculates and by the fuzzy pixel of gained respectively to the front and rear wheel hub of institute's measuring car in image
Quantity, which average, obtains required average blur pixel quantity；Background process computer is again by the vague image of institute's measuring car
Prime number amount obtains the speed of institute's measuring car by car speed computing formula.
Vehicle speed measuring equipment and survey calculation process can effectively be simplified by the present invention, the processing speed that tests the speed is improved and steady
It is qualitative.
It the above is only the preferred embodiment of the present invention, it should be pointed out that for a person skilled in the art, do not taking off
On the premise of from structure of the present invention, several modifications and improvements can also be made, these effects implemented all without the influence present invention
And practical applicability.
Claims (6)
1. a kind of single width motion blur image speed computational methods, the present invention relates to capture equipment, it is characterised in that：This method
Including following process 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 to the speed of institute's measuring car by car speed computing formula.
2. a kind of single width motion blur image speed computational methods according to claim 1, it is characterised in that：In step 3
In, the car speed computing formula is,
Wherein, v is running velocity, and z is captures the vertical range of equipment camera lens and vehicle, and N is the fuzzy pixel count of vehicle
Amount, sxFor the pixel size of setting, T is captures the time for exposure of equipment, and f is candid photograph device focus.
3. a kind of single width motion blur image speed computational methods according to claim 1 or 2, it is characterised in that：In step
In rapid 2, the calculating process of the fuzzy pixel quantity is calculates the perpendicular diameter and water of the wheel hub of institute's measuring car one in image respectively
Straight footpath；Horizontal diameter is subtracted into perpendicular diameter again and obtains fuzzy pixel quantity.
4. a kind of single width motion blur image speed computational methods according to claim 3, it is characterised in that：Counting respectively
In nomogram picture before the perpendicular diameter and horizontal diameter of the wheel hub of institute's measuring car one, the multiple for also first setting image down, and will
The value enlarged drawing that horizontal diameter is subtracted obtained by perpendicular diameter reduces multiple used and obtains fuzzy pixel quantity.
5. a kind of single width motion blur image speed computational methods according to claim 3 or 4, it is characterised in that：In mould
In the calculating process for pasting pixel quantity, fuzzy pixel count amount calculating is also carried out respectively simultaneously to the front and rear wheel hub of institute's measuring car in image
The fuzzy pixel quantity of gained is averaged.
6. a kind of single width motion blur image speed computational methods according to claim 1, it is characterised in that：It is described to grab
Equipment is clapped to be arranged at the position with the wheel hub level of vehicle and capture operation of the camera lens direction perpendicular to vehicle of equipment setting
Direction.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107328952A (en) * | 2017-05-05 | 2017-11-07 | 四川大学 | Flight path velocity stability evaluation scheme when one kind is without true value |
| 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 |
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