CN108280438A - Entry region driver identity identifying system - Google Patents
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- CN108280438A CN108280438A CN201810105687.3A CN201810105687A CN108280438A CN 108280438 A CN108280438 A CN 108280438A CN 201810105687 A CN201810105687 A CN 201810105687A CN 108280438 A CN108280438 A CN 108280438A
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- 238000001514 detection method Methods 0.000 claims abstract description 36
- 238000012544 monitoring process Methods 0.000 claims abstract description 20
- 230000006698 induction Effects 0.000 claims abstract description 6
- 230000011218 segmentation Effects 0.000 claims description 17
- 238000005194 fractionation Methods 0.000 claims description 15
- 230000001815 facial effect Effects 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 9
- 238000013528 artificial neural network Methods 0.000 claims description 7
- 230000008439 repair process Effects 0.000 claims description 7
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- 238000004088 simulation Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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Abstract
The present invention relates to a kind of entry region driver identity identifying systems, including：Vehicles peccancy detection device, it is arranged below road, the vehicle for driving into entry region is detected using induction coil mode, the vehicles peccancy detection device is used for when detecting the presence of the vehicle for driving into entry region, it sends out and starts driver's monitoring signal, the vehicles peccancy detection device is additionally operable to, when being not detected in the presence of the vehicle for driving into entry region, send out normal monitoring signal；Imaging-control apparatus, it is connect with the vehicles peccancy detection device, the imaging-control apparatus is used for when receiving startup driver's monitoring signal, open the ball-type picture pick-up device, the imaging-control apparatus is additionally operable to, when receiving startup driver's monitoring signal, close the ball-type picture pick-up device.By means of the invention it is possible to form effective deterrence to the separated parking in entry region.
Description
Technical field
The present invention relates to intelligent transportation field more particularly to a kind of entry region driver identity identifying systems.
Background technology
For special area, such as medical doorway region, army doorway region and government place region, generally all
It is entry region, is not allowed vehicle resident, once having stopped public vehicles, unfavorable shadow will be caused to the normal operation in these places
It rings.All it is to draw yellow panels to carry out position division in these entry regions in order to which the driver to vehicular traffic reminds,
It is strayed into avoid vehicular traffic or even is stopped in these entry regions.
However, mainly being adopted there is no the technical solution of the peccancy detection of the vehicle to stopping entry region in the prior art
Take manual type to be reminded, or vehicles peccancy driver not when, puted up on vehicles peccancy prompting singly reminded, shape
Effective deterrence of not pairs of vehicles peccancy.
Invention content
To solve the above-mentioned problems, it the present invention provides a kind of entry region driver identity identifying system, can use
Electronically carries out high-precision identification, and the correlation that will be recognized to the driver for resting on the vehicles peccancy of entry region
Driver information is included in violation information to be transmitted to the control of traffic and road center of distal end.
Based on technical scheme of the present invention, the present invention has inventive point at following three：
(1) parameter extraction is carried out to the region after each segmentation by way of first even partition image and parameter is sentenced
Not, to determine whether including target, and all areas comprising target are spliced to carry out final target identification, to reduce
Operand；
(2) conduct for the result for subtracting each other the Y-component mean value of the Y-component of the pixel of subregion and subregion pixel
Difference, and by the highest difference of the frequency of occurrences and maximum difference and minimal difference, by the highest difference of the frequency of occurrences
As texture height, the maximum difference is subtracted into result that the maximum difference obtains as pixel value span, to obtain
To the representational reference data of pixel value distribution situation；
(3) by targetedly recognition mode, forms subgraph is obtained from high definition road image to reduce driver's knowledge
Other range, to while ensureing to break rules and regulations personnel identity recognition effect, reduce the operand of identification.
According to an aspect of the present invention, a kind of entry region driver identity identifying system is provided, the system comprises：
Vehicles peccancy detection device is arranged below road, using induction coil mode to driving into the vehicle of entry region
It is detected, the vehicles peccancy detection device is used for when detecting the presence of the vehicle for driving into entry region, is sent out startup and is driven
The person's of sailing monitoring signal, the vehicles peccancy detection device are additionally operable to when being not detected in the presence of the vehicle for driving into entry region, hair
Go out normal monitoring signal；
Imaging-control apparatus is connect with the vehicles peccancy detection device, and the imaging-control apparatus is for receiving
When startup driver's monitoring signal, the ball-type picture pick-up device is opened, the imaging-control apparatus is additionally operable to receiving
When startup driver's monitoring signal, the ball-type picture pick-up device is closed；
Ball-type picture pick-up device is arranged on the montant of road side, for carrying out high-definition image number to road driving environment
According to acquisition to export high definition road image, the ball-type picture pick-up device includes ball-type camera, holder and holder driver, described
Ball-type camera is arranged on the holder, and the holder driver is for driving the holder to carry out multi-direction movement with band
The dynamic ball-type camera carries out multi-direction shooting, wherein is opened by the imaging-control apparatus in the ball-type picture pick-up device
When, the holder driver drives the holder to be moved to drive the ball-type camera to carry out towards the entry region
The shooting in direction；
Profile prosthetic appliance is connect with the ball-type picture pick-up device, for receiving the high definition road image, and to described
High definition road image executes profile repair process, and image is repaired to obtain and export profile；
The equal subset of image is connect with the profile prosthetic appliance, repairs image for receiving the profile, and based on pre-
If profile reparation image is divided into multiple subregions by Fractionation regimen, the default Fractionation regimen be horizontal segmentation pattern,
Vertical segmentation pattern, horizontal segmentation vertical segmentation binding pattern and triangle Fractionation regimen.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 for according to the entry region driver identity identifying system shown in embodiment of the present invention simulation at the scene
Figure.
Fig. 2 is the block diagram according to the entry region driver identity identifying system shown in embodiment of the present invention.
Fig. 3 is the step flow chart according to the entry region driver identity recognition methods shown in embodiment of the present invention.
Specific implementation mode
The embodiment of the entry region driver identity identifying system of the present invention is carried out below with reference to accompanying drawings detailed
Explanation.
In order to overcome above-mentioned deficiency, the present invention to build a kind of entry region driver identity identifying system, can solve
Above-mentioned technical problem.
Fig. 1 for according to the entry region driver identity identifying system shown in embodiment of the present invention simulation at the scene
Figure.
Wherein, vehicles peccancy detection device includes vehicle detection coil, and the vehicle detection coil uses induction coil side
Formula is detected the vehicle for driving into entry region.
Wherein, vehicles peccancy detection device may be provided in entry region or be arranged in the front position of entry region.
Fig. 2 is the block diagram according to the entry region driver identity identifying system shown in embodiment of the present invention,
The system comprises：
Vehicles peccancy detection device is arranged below road, using induction coil mode to driving into the vehicle of entry region
It is detected；
Wherein, the vehicles peccancy detection device is used for when detecting the presence of the vehicle for driving into entry region, is sent out and is opened
Dynamic driver's monitoring signal；
Wherein, the vehicles peccancy detection device is additionally operable to when being not detected in the presence of the vehicle for driving into entry region, hair
Go out normal monitoring signal.
Then, continue to carry out further the concrete structure of the entry region driver identity identifying system of the present invention
It is bright.
Can also include in the entry region driver identity identifying system：
Imaging-control apparatus is connect with the vehicles peccancy detection device；
Wherein, the imaging-control apparatus is used for when receiving startup driver's monitoring signal, opens the ball
Formula picture pick-up device；
Wherein, the imaging-control apparatus is additionally operable to when receiving startup driver's monitoring signal, described in closing
Ball-type picture pick-up device.
Can also include in the entry region driver identity identifying system：
Ball-type picture pick-up device is arranged on the montant of road side, for carrying out high-definition image number to road driving environment
According to acquisition to export high definition road image；
The ball-type picture pick-up device includes ball-type camera, holder and holder driver, and the ball-type camera is set
On the holder, the holder driver is for driving the holder to carry out multi-direction movement to drive the ball-type camera
Carry out multi-direction shooting, wherein when the ball-type picture pick-up device is opened by the imaging-control apparatus, the holder driver
The holder is driven to be moved to drive the ball-type camera to carry out the shooting towards the entry region direction；
Profile prosthetic appliance is connect with the ball-type picture pick-up device, for receiving the high definition road image, and to described
High definition road image executes profile repair process, and image is repaired to obtain and export profile；
The equal subset of image is connect with the profile prosthetic appliance, repairs image for receiving the profile, and based on pre-
If profile reparation image is divided into multiple subregions by Fractionation regimen, the default Fractionation regimen be horizontal segmentation pattern,
Vertical segmentation pattern, horizontal segmentation vertical segmentation binding pattern and triangle Fractionation regimen；
First parameter acquisition device is connect with the equal subset of described image, for receiving the multiple subregion, and to every
One sub-regions carry out following processing：The Y-component of each pixel based on subregion calculates the Y-component mean value of subregion, really
The quantity of the pixel of stator region；
Second parameter acquisition device is connect with first parameter acquisition device and the equal subset of described image respectively, is used
In the quantity for the Y-component mean value and pixel for receiving the multiple subregion and each sub-regions of reception, it is additionally operable to every
One sub-regions carry out following processing：The result that the Y-component mean value of the Y-component of the pixel of subregion and subregion is subtracted each other
As the difference of the pixel, the difference of each pixel of subregion is compared, to obtain the highest difference of the frequency of occurrences
Value and maximum difference and minimal difference, using the highest difference of the frequency of occurrences as texture height, by the maximum difference
The result of the maximum difference acquisition is subtracted as pixel value span；
Parameter matching unit, in the multiple subregion, the texture height to be less than or equal to the first height threshold
Value and the pixel value span are less than or equal to the subregion of the second height threshold as form region, and the texture height is more than
First height threshold or the pixel value span are more than the subregion of the second height threshold as non-form region, and export one
Or multiple form regions；
Split equipment in region is connect with the parameter matching unit, for receiving one or more of form regions, and
Split processing is carried out to obtain split region to one or more of form regions, the isolated area in removal split region with
Obtain target area；
Forms detection device is connect with the region split equipment, for receiving the target area, and using depth god
Whether it is forms pixel through each pixel in target area described in Network Recognition mode decision, each forms pixel that will be detected
Form forms subgraph；
Facial recognition device is connect with the forms detection device, for receiving the forms subgraph, to the forms
Personnel's facial characteristics in subgraph is identified, to obtain corresponding personnel identity card number and as driver information, also
Include in violation information to obtain and export the violation information by the driver information.
Can also include in the entry region driver identity identifying system：
SD storage devices, respectively with the forms detection device, the parameter matching unit and the equal subset of described image
Connection；
Wherein, the SD storage devices are for storing the default Fractionation regimen, first height threshold, described second
Each neural network parameter of height threshold and the deep neural network recognition mode.
Can also include in the entry region driver identity identifying system：
Frequency duplex communications interface is connect with the facial recognition device；
Wherein, the frequency duplex communications interface is for receiving the violation information, and the violation information is sent to
The control of traffic and road center of distal end.
Fig. 3 is the step flow chart according to the entry region driver identity recognition methods shown in embodiment of the present invention,
The method includes：
Using vehicles peccancy detection device, it is arranged below road, using induction coil mode to driving into entry region
Vehicle is detected；
Wherein, the vehicles peccancy detection device is used for when detecting the presence of the vehicle for driving into entry region, is sent out and is opened
Dynamic driver's monitoring signal；
Wherein, the vehicles peccancy detection device is additionally operable to when being not detected in the presence of the vehicle for driving into entry region, hair
Go out normal monitoring signal.
Then, the specific steps for continuing the entry region driver identity recognition methods to the present invention carry out further
It is bright.
The entry region driver identity recognition methods can also include：
Using imaging-control apparatus, it is connect with the vehicles peccancy detection device；
Wherein, the imaging-control apparatus is used for when receiving startup driver's monitoring signal, opens the ball
Formula picture pick-up device；
Wherein, the imaging-control apparatus is additionally operable to when receiving startup driver's monitoring signal, described in closing
Ball-type picture pick-up device.
The entry region driver identity recognition methods can also include：
Using ball-type picture pick-up device, it is arranged on the montant of road side, for carrying out high definition figure to road driving environment
As data are acquired to export high definition road image；
The ball-type picture pick-up device includes ball-type camera, holder and holder driver, and the ball-type camera is set
On the holder, the holder driver is for driving the holder to carry out multi-direction movement to drive the ball-type camera
Carry out multi-direction shooting, wherein when the ball-type picture pick-up device is opened by the imaging-control apparatus, the holder driver
The holder is driven to be moved to drive the ball-type camera to carry out the shooting towards the entry region direction；
Using profile prosthetic appliance, it is connect with the ball-type picture pick-up device, for receiving the high definition road image, and it is right
The high definition road image executes profile repair process, and image is repaired to obtain and export profile；
It using the equal subset of image, is connect with the profile prosthetic appliance, image, and base is repaired for receiving the profile
Profile reparation image is divided into multiple subregions in default Fractionation regimen, the default Fractionation regimen is horizontal segmentation mould
Formula, vertical segmentation pattern, horizontal segmentation vertical segmentation binding pattern and triangle Fractionation regimen；
Using the first parameter acquisition device, it is connect with the equal subset of described image, for receiving the multiple subregion, and
Following processing is carried out to each sub-regions：The Y-component that the Y-component of each pixel based on subregion calculates subregion is equal
Value, determines the quantity of the pixel of subregion；
Using the second parameter acquisition device, connect respectively with first parameter acquisition device and the equal subset of described image
It connects, the quantity of Y-component mean value and pixel for receiving the multiple subregion and each sub-regions of reception is additionally operable to
Following processing is carried out to each sub-regions：The knot that the Y-component mean value of the Y-component of the pixel of subregion and subregion is subtracted each other
The difference of each pixel of subregion is compared by the difference as the pixel of fruit, to obtain frequency of occurrences highest
Difference and maximum difference and minimal difference, using the highest difference of the frequency of occurrences as texture height, by the maximum
Difference subtracts the result of the maximum difference acquisition as pixel value span；
Using parameter matching unit, in the multiple subregion, it is high that the texture height to be less than or equal to first
It spends threshold value and the pixel value span is less than or equal to the subregion of the second height threshold as form region, by the texture height
It is more than the subregion of the second height threshold as non-form region more than the first height threshold or the pixel value span, and exports
One or more form regions；
Using area split equipment is connect with the parameter matching unit, for receiving one or more of forms areas
Domain, and split processing is carried out to one or more of form regions to obtain split region, isolating in removal split region
Region is to obtain target area；
It using forms detection device, is connect with the region split equipment, for receiving the target area, and using deep
Spend whether each pixel in target area described in neural network recognization mode decision is forms pixel, each forms that will be detected
Pixel forms forms subgraph；
It using facial recognition device, is connect with the forms detection device, for receiving the forms subgraph, to described
Personnel's facial characteristics in forms subgraph is identified, to obtain corresponding personnel identity card number and believe as driver
The driver information is included also in violation information to obtain and export the violation information by breath.
The entry region driver identity recognition methods can also include：
Using SD storage devices, divide equally respectively with the forms detection device, the parameter matching unit and described image
Equipment connects；
Wherein, the SD storage devices are for storing the default Fractionation regimen, first height threshold, described second
Each neural network parameter of height threshold and the deep neural network recognition mode.
The entry region driver identity recognition methods can also include：
Using frequency duplex communications interface, it is connect with the facial recognition device；
Wherein, the frequency duplex communications interface is for receiving the violation information, and the violation information is sent to
The control of traffic and road center of distal end.
In addition, the frequency duplex communications pattern that the frequency duplex communications interface uses, i.e. the characteristics of fdd mode are to divide
On two symmetrical frequency channels from (uplink and downlink frequency interval 190MHz), system is received and is transmitted, with protection frequency range come
Separation receives and transmission channel.
Using technologies such as packet switch, the bottleneck of two generations development can be broken through, realizes high-speed data service, and frequency spectrum profit can be improved
With rate, increase power system capacity.But FDD must use pairs of frequency, i.e., third generation business is provided in the bandwidth of every 2x5MHz.
Which can make full use of the frequency spectrum of uplink and downlink, but in asymmetrical packet switch (internet) work when supporting symmetrical service
When making, the availability of frequency spectrum then substantially reduce (due to low ascending load, the availability of frequency spectrum is caused to reduce about 40%), in this regard,
The advantage that tdd mode has FDD incomparable.
Entry region driver identity identifying system and method using the present invention, cannot achieve for the prior art to stopping
The technical issues of staying in the vehicles peccancy progress peccancy detection of entry region, to each by way of first even partition image
Region after segmentation carries out parameter extraction and parameter differentiates, to determine whether including target, and by all areas comprising target
Splicing is to carry out final target identification, to reduce operand, particular, it is important that also by targetedly identifying mould
Formula obtains forms subgraph to reduce the range of driver's identification, to ensure personnel's body of breaking rules and regulations from high definition road image
While part recognition effect, reduce the operand of identification.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention is right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (5)
1. a kind of entry region driver identity identifying system, which is characterized in that the system comprises：
Vehicles peccancy detection device is arranged below road, is carried out to the vehicle for driving into entry region using induction coil mode
Detection；
Wherein, the vehicles peccancy detection device is used for when detecting the presence of the vehicle for driving into entry region, is sent out startup and is driven
The person's of sailing monitoring signal；
Wherein, the vehicles peccancy detection device is additionally operable to, when being not detected in the presence of the vehicle for driving into entry region, send out just
Normal monitoring signal.
2. driver identity identifying system in entry region as described in claim 1, which is characterized in that further include：
Imaging-control apparatus is connect with the vehicles peccancy detection device；
Wherein, the imaging-control apparatus is used for when receiving startup driver's monitoring signal, is opened the ball-type and is taken the photograph
As equipment；
Wherein, the imaging-control apparatus is additionally operable to, when receiving startup driver's monitoring signal, close the ball-type
Picture pick-up device.
3. driver identity identifying system in entry region as claimed in claim 2, which is characterized in that further include：
Ball-type picture pick-up device is arranged on the montant of road side, is adopted for carrying out high-definition image data to road driving environment
Collection is to export high definition road image；
The ball-type picture pick-up device includes ball-type camera, holder and holder driver, and the ball-type camera is arranged on institute
It states on holder, the holder driver is for driving the holder to carry out multi-direction movement to drive the ball-type camera to carry out
Multi-direction shooting, wherein when the ball-type picture pick-up device is opened by the imaging-control apparatus, the holder driver driving
The holder is moved to drive the ball-type camera to carry out the shooting towards the entry region direction；
Profile prosthetic appliance is connect with the ball-type picture pick-up device, for receiving the high definition road image, and to the high definition
Road image executes profile repair process, and image is repaired to obtain and export profile；
The equal subset of image is connect with the profile prosthetic appliance, repairs image for receiving the profile, and based on default point
It cuts pattern and profile reparation image is divided into multiple subregions, the default Fractionation regimen is horizontal segmentation pattern, vertically
Fractionation regimen, horizontal segmentation vertical segmentation binding pattern and triangle Fractionation regimen；
First parameter acquisition device is connect with the equal subset of described image, for receiving the multiple subregion, and to each
Subregion carries out following processing：The Y-component of each pixel based on subregion calculates the Y-component mean value of subregion, determines son
The quantity of the pixel in region；
Second parameter acquisition device is connect respectively with first parameter acquisition device and the equal subset of described image, for connecing
It receives the multiple subregion and receives the quantity of the Y-component mean value and pixel of each sub-regions, be additionally operable to each
Subregion carries out following processing：The conduct for the result that the Y-component mean value of the Y-component of the pixel of subregion and subregion is subtracted each other
The difference of each pixel of subregion is compared by the difference of the pixel, with obtain the highest difference of the frequency of occurrences with
And maximum difference and minimal difference subtract the maximum difference using the highest difference of the frequency of occurrences as texture height
The result that the maximum difference obtains is as pixel value span；
Parameter matching unit, in the multiple subregion, by the texture height be less than or equal to the first height threshold and
The pixel value span is less than or equal to the subregion of the second height threshold as form region, and the texture height is more than first
Height threshold or the pixel value span are more than the subregion of the second height threshold as non-form region, and export one or more
A form region；
Split equipment in region is connect with the parameter matching unit, for receiving one or more of form regions, and to institute
It states one or more form regions and carries out split processing to obtain split region, the isolated area in removal split region is to obtain
Target area；
Forms detection device is connect with the region split equipment, for receiving the target area, and uses depth nerve net
Network recognition mode judges whether each pixel is forms pixel in the target area, and each forms pixel detected is formed
Forms subgraph；
Facial recognition device is connect with the forms detection device, for receiving the forms subgraph, to the forms subgraph
Personnel's facial characteristics as in is identified, to obtain corresponding personnel identity card number and as driver information, also by institute
It states driver information and is included in violation information to obtain and export the violation information.
4. driver identity identifying system in entry region as claimed in claim 3, which is characterized in that further include：
SD storage devices are connect with the forms detection device, the parameter matching unit and the equal subset of described image respectively；
Wherein, the SD storage devices are for storing the default Fractionation regimen, first height threshold, second height
Each neural network parameter of threshold value and the deep neural network recognition mode.
5. driver identity identifying system in entry region as claimed in claim 4, which is characterized in that further include：
Frequency duplex communications interface is connect with the facial recognition device；
Wherein, the frequency duplex communications interface is sent to distal end for receiving the violation information, and by the violation information
Control of traffic and road center.
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| CN103065470A (en) * | 2012-12-18 | 2013-04-24 | 浙江工业大学 | Detection device for behaviors of running red light of vehicle based on machine vision with single eye and multiple detection faces |
| CN104243967A (en) * | 2013-06-07 | 2014-12-24 | 浙江大华技术股份有限公司 | Image detection method and device |
| CN103903440A (en) * | 2014-04-03 | 2014-07-02 | 浙江宇视科技有限公司 | Electronic police capturing method and device |
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| CN107403552A (en) * | 2016-05-19 | 2017-11-28 | 朱志斌 | Violation motor vehicles violating the regulations monitor inspection monitoring system in real time |
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