CN105185120B - A kind of be positioned at traffic intersection across solid line road vehicle identification method - Google Patents
A kind of be positioned at traffic intersection across solid line road vehicle identification method Download PDFInfo
- Publication number
- CN105185120B CN105185120B CN201510575636.3A CN201510575636A CN105185120B CN 105185120 B CN105185120 B CN 105185120B CN 201510575636 A CN201510575636 A CN 201510575636A CN 105185120 B CN105185120 B CN 105185120B
- Authority
- CN
- China
- Prior art keywords
- image
- solid line
- traffic
- vehicle
- definition camera
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
nullThe present invention relates to a kind of be positioned at traffic intersection across solid line road vehicle identification method，The method includes: 1) provide a kind of be positioned at traffic intersection across solid line road vehicle identification system，Described identification system includes portable hard drive、AT89C51 single-chip microcomputer、Image recognition apparatus and high-definition camera equipment，Described portable hard drive has prestored the solid line characteristics of image of traffic intersection，Described high-definition camera equipment carries out image acquisition to obtain two width crossing images of interval Preset Time to described traffic intersection，Described image recognition apparatus is connected respectively with described high-definition camera equipment and described portable hard drive，Respectively described two width crossing images are carried out image procossing based on described solid line characteristics of image，Described AT89C51 single-chip microcomputer is connected with described image recognition apparatus，Determine whether described traffic intersection exists across solid line road vehicle based on described processing result image；2) described system is used to be identified.
Description
The present invention is Application No. 201510101448.7, filing date March 8 in 2015 day,
The division of the patent of bright entitled " a kind of be positioned at traffic intersection across solid line road vehicle identification method "
Application.
Technical field
The present invention relates to traffic monitoring field, particularly relate to a kind of be positioned at traffic intersection across solid line road
Vehicle identification method.
Background technology
The act of violating regulations of automobile driver is detected and is concentrated mainly on two aspects by prior art, one
Whether aspect is whether the passing rules that traffic signal violation lamp is corresponding, such as, if make a dash across the red light, rush
Green light and whether cross driving dead line etc., on the other hand concentrates on vehicle interior personnel's act of violating regulations
Detection, for example whether wear safety belt, whether look after children and just sit back and wait in copilot.But, for
Driver vehicle but lacks effective detection method at traffic intersection across the act of violating regulations of solid line,
It practice, above-mentioned act of violating regulations because upset travel order, run counter to road traffic travel fairness,
Easily cause major accident because trying to be the first and have more hazardness.
In prior art, the vehicle to traffic intersection still uses backward across the detection of solid line behavior
Manual detection mode, i.e. arranges a traffic-police at each traffic intersection, and timing is to through traffic
Each vehicle at crossing carries out naked eyes identification, has driven to solid line region but still next being found to have vehicle
When switchback is changed trains, the number-plate number of go forward immediately inquiry registered vehicle information, such as vehicles peccancy,
Realize the punishment to vehicles peccancy driver.Obviously, this detection mode excessively depends on manually, its
Efficiency and accuracy are greatly affected.At present, still there is no corresponding effective electron detection means.
Accordingly, it would be desirable to a kind of be positioned at traffic intersection across solid line road vehicle identification method, it is possible to by institute
State identification system and set up at monitored traffic intersection, use detection of electrons means automatically to identify have car
Across the vehicles peccancy of solid line behavior and corresponding license board information, it is to avoid manual intervention, improve and know
Other accuracy and real-time.
Summary of the invention
In order to solve the problems referred to above, the invention provides a kind of be positioned at traffic intersection across solid line road car
Recognition methods, utilizes high-definition camera equipment described traffic intersection successively to carry out image acquisition to obtain
Two width crossing images of interval Preset Time, real diagram based on traffic intersection is as described in feature identification two
Width crossing image occurs in the same vehicle of different traffic aisle, and uses OCR targetedly
Recognizer obtains the number-plate number of vehicle recognized, it is achieved pure to across solid line road act of violating regulations
Electronic recognition.
According to an aspect of the present invention, it is provided that a kind of be positioned at knowing across solid line road vehicle of traffic intersection
Other method, the method includes: 1) provide a kind of be positioned at traffic intersection across solid line road vehicle identification
System, described identification system includes portable hard drive, AT89C51 single-chip microcomputer, image recognition apparatus and height
Clear picture pick-up device, described portable hard drive has prestored the solid line characteristics of image of traffic intersection, and described high definition is taken the photograph
As equipment carries out image acquisition to obtain two width crossing figures of interval Preset Time to described traffic intersection
Picture, described image recognition apparatus is connected respectively with described high-definition camera equipment and described portable hard drive, base
Respectively described two width crossing images are carried out image procossing in described solid line characteristics of image, described
AT89C51 single-chip microcomputer is connected with described image recognition apparatus, determines institute based on described processing result image
State whether traffic intersection exists across solid line road vehicle；2) described system is used to be identified.
More specifically, described be positioned at traffic intersection in solid line road vehicle identification system, also wrap
Include: luminance sensor, be positioned on described high-definition camera equipment, be used for detecting described high-definition camera equipment
The ambient brightness of surrounding；Lighting source, is positioned on described high-definition camera equipment, for for described
The image acquisition of high-definition camera equipment provides floor light；User input device, for according to user's
Operation, input Preset Time, solid line upper limit gray threshold and solid line lower limit gray threshold, described solid line
Upper limit gray threshold and described solid line lower limit gray threshold are for by the solid line in image and background separation；
Wireless communication interface, sets up two-way wireless communication link with the control of traffic and road platform of far-end, is used for
Receive the control instruction of described control of traffic and road platform wireless transmission；Described portable hard drive and described use
Family input equipment connects, and is used for receiving and store described Preset Time, described solid line upper limit gray threshold
With described lower limit gray threshold；Described high-definition camera equipment is a CMOS vision sensor, described two
The resolution of width crossing image is all 1920 × 1080, and described two width crossing images are according to the time gathered
Order is divided at front crossing image with at rear crossing image；Described image recognition apparatus is taken the photograph with described high definition
As equipment and described portable hard drive connect respectively, described image recognition apparatus includes Image semantic classification list
Unit, solid region regional partition unit, vehicle feature recognition unit and vehicle match unit, described image is pre-
Processing unit is connected with described high-definition camera equipment, and being used for will be at front crossing image with at rear crossing image
Carry out Image semantic classification respectively, to obtain in front pretreatment image with at rear pretreatment image, described figure
As pretreatment includes that contrast enhancing, wavelet filtering and gray processing process, described solid region regional partition list
First and described image pre-processing unit and described portable hard drive is connected respectively, by described at front pretreatment figure
Gray value picture between described solid line upper limit gray threshold and described solid line lower limit gray threshold in Xiang
Element identifies and forms multiple in front solid line sub pattern, according to the plurality of in front solid line sub pattern described
Position in front pretreatment image from described cut out front pretreatment image multiple at front solid line
The traffic aisle of area image, the plurality of quantity at front solid region area image and described traffic intersection
Quantity identical, each is at the corresponding traffic aisle of front solid region area image, also by described rear
In pretreatment image, gray value is at described solid line upper limit gray threshold and described solid line lower limit gray threshold
Between pixel identification and form multiple in rear solid line sub pattern, according to the plurality of at rear solid line subgraph
Case in described position in rear pretreatment image from described cut out rear pretreatment image multiple
At rear solid region area image, the plurality of quantity at rear solid region area image and described traffic intersection
The quantity of traffic aisle is identical, and each is described at the corresponding traffic aisle of rear solid region area image
Vehicle feature recognition unit is connected with described solid region regional partition unit, identifies that each is in front solid region
The feature of the multiple vehicles in area image, as multiple vehicle in front features, identifies that each is at rear solid line
The feature of the multiple vehicles in area image as multiple at rear vehicle feature, described vehicle match unit
It is connected with described vehicle feature recognition unit, when there is two traffic aisles, one of them traffic aisle
Corresponding front solid region area image corresponding with another traffic aisle in the area image of rear solid region
When there is identical vehicle characteristics, lead in another traffic described based on default OCR recognizer
The number-plate number identifying the vehicle with same vehicle feature in the area image of rear solid region that road is corresponding
To export as the number-plate number violating the regulations；Described AT89C51 single-chip microcomputer and described image recognition apparatus, institute
State luminance sensor, described lighting source, described wireless communication interface, described portable hard drive and described
High-definition camera equipment connects respectively, and described AT89C51 single-chip microcomputer is based on described in built-in Timer Controlling
High-definition camera equipment gathers described two width crossing images, by described two according to the interval of described Preset Time
Width crossing image is sent to described image recognition apparatus to carry out image procossing, receives described image recognition
The number-plate number violating the regulations of equipment output, described AT89C51 single-chip microcomputer is additionally based upon described ambient brightness and controls
The brightness of the floor light of described lighting source；Wherein, described wireless communication interface receives described violating the regulations
The number-plate number, and the described number-plate number violating the regulations is wirelessly sent to described control of traffic and road platform；Institute
State image pre-processing unit, described solid region regional partition unit, described vehicle feature recognition unit and institute
State vehicle match unit to be respectively adopted the fpga chip of different model and realize.
More specifically, described be positioned at traffic intersection in solid line road vehicle identification system, also wrap
Include: display device, be connected with described AT89C51 single-chip microcomputer, show described car plate violating the regulations in real time
Number.
More specifically, described be positioned at traffic intersection in solid line road vehicle identification system, described
Display device is LCDs, is positioned on the cross bar above described traffic intersection.
More specifically, described be positioned at traffic intersection in solid line road vehicle identification system, described
AT89C51 single-chip microcomputer controls the brightness of the floor light of described lighting source based on described ambient brightness
Including: the brightness of the floor light adjusting described lighting source makes the floor light of described lighting source
Brightness be inversely proportional to described ambient brightness.
More specifically, described be positioned at traffic intersection in solid line road vehicle identification system, described
Luminance sensor, described high-definition camera equipment and described lighting source are all located at above described traffic intersection
Cross bar on.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is according to being positioned at knowing across solid line road vehicle of traffic intersection shown in embodiment of the present invention
The block diagram of other system.
Detailed description of the invention
Below with reference to accompanying drawings the present invention is positioned at traffic intersection across solid line road vehicle identification system
The embodiment of system is described in detail.
Before the vehicle of current traffic intersection waits dead line, in order to prevent each traffic aisle
Vehicle toggles passage and causes traffic order confusion even major accident, control of traffic and road department
Typically can arrange a solid line region, described solid line region is a rectangular area, by peripheral four
Rectilinear(-al), inside rectangular area, the quantity according to traffic aisle waits cut-off with vertical described vehicle
The direction of line divides many sub-rectangular areas, each the corresponding traffic aisle in sub-rectangular area, hands over
Circulation passage potentially includes left-hand bend passage, right-hand bend passage, craspedodrome passage and tune passage etc..
Before vehicle enters the rectangular area of traffic intersection, can be led in multiple traffic by for a flash
Switch flexibly in road, but once carry out described rectangular area, if carrying out the switching of traffic aisle again,
Forbidden act of violating regulations will be regarded as, certain punishment may be in.But, prior art
In lack of at traffic intersection across the effective electron means of identification of solid line road act of violating regulations, and can only
Using the most original artificial naked eyes recognition mode, this artificial mode is except recognition efficiency is the highest, in fact
Outside the shortcoming of time property difference, also taking up the most rare a large amount of traffic administration manpower, its cost of labor is relatively
High.
The present invention built a kind of be positioned at traffic intersection across solid line road vehicle identification system, its identify
Principle is as follows: traffic intersection successively shoots two width images, and characteristics of image based on solid line is to each width
Image division multiple traffic aisle image, when there is two traffic aisles, one of them traffic aisle pair
Answer in rear traffic aisle image deposit corresponding with another traffic aisle of front traffic aisle image
When identical vehicle characteristics, based on default OCR recognizer at another traffic aisle described
The corresponding number-plate number identifying the vehicle with same vehicle feature in rear traffic aisle image with
Export as the number-plate number violating the regulations, the detection full automation of whole identification system.
Fig. 1 is according to being positioned at knowing across solid line road vehicle of traffic intersection shown in embodiment of the present invention
The block diagram of other system, described identification system includes: portable hard drive 4, AT89C51 single-chip microcomputer
1, image recognition apparatus 3 and high-definition camera equipment 2, described AT89C51 single-chip microcomputer 1 and described shifting
Dynamic hard disk 4, described image recognition apparatus 3 and described high-definition camera equipment 2 connect respectively, described figure
As identification equipment 3 is connected respectively with described portable hard drive 4 and described high-definition camera equipment 2.
Wherein, described portable hard drive 4 has prestored the solid line characteristics of image of traffic intersection, and described high definition is taken the photograph
As equipment 2 carries out image acquisition to obtain two width crossing figures of interval Preset Time to described traffic intersection
Picture, described image recognition apparatus 3 based on described solid line characteristics of image respectively to described two width crossing images
Carrying out image procossing, described AT89C51 single-chip microcomputer 1 determines described friendship based on described processing result image
Whether path mouth exists across solid line road vehicle.
Then, continue the present invention is positioned at traffic intersection across solid line the tool of road vehicle identification system
Body structure is further detailed.
Described identification system also includes: luminance sensor, is positioned on described high-definition camera equipment 2, uses
In the ambient brightness detecting described high-definition camera equipment 2 surrounding；Lighting source, is positioned at described height
On clear picture pick-up device 2, provide floor light for the image acquisition for described high-definition camera equipment 2.
Described identification system also includes: user input device, and for the operation according to user, input is pre-
If time, solid line upper limit gray threshold and solid line lower limit gray threshold, described solid line upper limit gray threshold
With described solid line lower limit gray threshold for by the solid line in image and background separation.
Described identification system also includes: wireless communication interface, builds with the control of traffic and road platform of far-end
Vertical two-way wireless communication link, refers to for receiving the control of described control of traffic and road platform wireless transmission
Order.
Described portable hard drive 4 is connected with described user input device, is used for receiving and store described presetting
Time, described solid line upper limit gray threshold and described lower limit gray threshold.
Described high-definition camera equipment 2 is a CMOS vision sensor, dividing of described two width crossing images
Resolution is all 1920 × 1080, and described two width crossing images are divided at Qian Lu according to the time sequencing gathered
Mouthful image and at rear crossing image.
Described image recognition apparatus 3 connects respectively with described high-definition camera equipment 2 and described portable hard drive 4
Connecing, described image recognition apparatus 3 includes image pre-processing unit, solid region regional partition unit, vehicle
Feature identification unit and vehicle match unit, described image pre-processing unit and described high-definition camera equipment
2 connect, for carrying out Image semantic classification respectively, to obtain at front crossing image with at rear crossing image
Must in front pretreatment image with in rear pretreatment image, described Image semantic classification include contrast strengthen,
Wavelet filtering and gray processing process.
Described solid region regional partition unit and described image pre-processing unit and described portable hard drive 4 difference
Connect, by described in front pretreatment image gray value in described solid line upper limit gray threshold and described reality
Pixel identification between line lower limit gray threshold also forms multiple in front solid line sub pattern, according to described many
Individual in front solid line sub pattern in described position in front pretreatment image from described at front pretreatment figure
Cut out multiple at front solid region area image in Xiang, the plurality of quantity at front solid region area image with
The quantity of the traffic aisle of described traffic intersection is identical, and each is corresponding one of front solid region area image
Traffic aisle, also by described in rear pretreatment image gray value at described solid line upper limit gray threshold and
Pixel identification between described solid line lower limit gray threshold also forms multiple in rear solid line sub pattern, according to
The plurality of in rear solid line sub pattern in described position in rear pretreatment image from described rear pre-
Process in image cut out multiple at rear solid region area image, the plurality of at rear solid region area image
Quantity is identical with the quantity of the traffic aisle of described traffic intersection, and each is at rear solid region area image pair
Answer a traffic aisle.
Described vehicle feature recognition unit is connected with described solid region regional partition unit, identify each
The feature of the multiple vehicles in the area image of front solid region, as multiple vehicle in front features, identifies each
The feature of the multiple vehicles in the area image of rear solid region as multiple in rear vehicle feature.
Described vehicle match unit is connected with described vehicle feature recognition unit, leads to when there are two traffic
Road, corresponding corresponding with another traffic aisle at front solid region area image of one of them traffic aisle
When there is identical vehicle characteristics in the area image of rear solid region, based on default OCR recognizer
In corresponding the identifying in the area image of rear solid region of another traffic aisle described, there is same vehicle special
The number-plate number of the vehicle levied is to export as the number-plate number violating the regulations.
Described AT89C51 single-chip microcomputer 1 and described image recognition apparatus 3, described luminance sensor, institute
State lighting source, described wireless communication interface, described portable hard drive 4 and described high-definition camera equipment 2
Connecting respectively, described AT89C51 single-chip microcomputer 1 sets based on high-definition camera described in built-in Timer Controlling
Standby 2 gather described two width crossing images, by described two width crossing figures according to the interval of described Preset Time
As being sent to described image recognition apparatus 3 to carry out image procossing, receive described image recognition apparatus 3
The number-plate number violating the regulations of output, described AT89C51 single-chip microcomputer 1 is additionally based upon described ambient brightness and controls institute
State the brightness of the floor light of lighting source.
Wherein, described wireless communication interface receives the described number-plate number violating the regulations, and by described car plate violating the regulations
Number and wireless is sent to described control of traffic and road platform；Described image pre-processing unit, described solid line
Region segmentation unit, described vehicle feature recognition unit and described vehicle match unit can be respectively adopted
The fpga chip of different model realizes.
Wherein, described identification system also includes: display device, with described AT89C51 single-chip microcomputer 1
Connecting, show the described number-plate number violating the regulations in real time, described display device can be selected for LCDs,
Being positioned on the cross bar above described traffic intersection, described AT89C51 single-chip microcomputer 1 is bright based on described environment
The brightness of the floor light that degree controls described lighting source comprises the steps that the auxiliary adjusting described lighting source
The brightness of illumination makes the brightness of the floor light of described lighting source be inversely proportional to described ambient brightness,
And alternatively, described luminance sensor, described high-definition camera equipment 2 and described lighting source all positions
On cross bar above described traffic intersection.
It addition, single-chip microcomputer (Microcontrollers) is a kind of IC chip, it is to use super large
Scale integrated circuit technology is having the central processor CPU of data-handling capacity, random access memory
RAM, read only memory ROM, multiple I/O mouth and the interruption function such as system, timer/counter
(may also include that display driver circuit, pulse-width modulation circuit, analog multiplexer, A/D change
The circuit such as device) it is integrated on one piece of silicon chip the little and perfect microcomputer system constituted,
Industrial control field is extensively applied.
From the eighties in last century, by 4 at that time, 8 single-chip microcomputers, develop into present 300M
High-speed microprocessor.The use field of single-chip microcomputer is the most quite varied, as intelligence instrument, real-time industry control,
Communication apparatus, navigation system, household electrical appliance etc..Various products have once used single-chip microcomputer, just can rise
To making effect of the updating and upgrading of a product, often titled with adjective " intelligent " before name of product, such as intelligence
Energy type washing machine etc..
Single-chip microcomputer is born in 1971, experienced by SCM, MCU, SoC tri-megastage, in early days
SCM single-chip microcomputer is all 8 or 4.The most most successful is the 8051 of INTEL, hereafter exists
MCS51 Series MCU system has been developed on 8051.Single Chip Microcomputer (SCM) system based on this system is straight
The most also it is being widely used.The raising required along with industrial control field, starts to occur in that 16
Single-chip microcomputer, but be widely applied the most very much because cost performance is undesirable.Along with consumption after the nineties
Electronic product develops on a large scale, and singlechip technology has obtained huge raising.Along with INTEL i960 series especially
Being that the extensive of ARM series later is applied, 32 single-chip microcomputers replace rapidly the height of 16 single-chip microcomputers
End status, and enter mainstream market.And the performance of traditional 8 single-chip microcomputers have also been obtained and rapidly carries
Height, disposal ability improves hundreds times compared with the eighties.32 high-end Soc single-chip microcomputer dominant frequency are
Through more than 300MHz, performance directly chases after the application specific processor of the mid-90, and common model is dispatched from the factory
Price falling is to 1 dollar, and the model of most significant end also only has 10 dollars.
Single Chip Microcomputer (SCM) system was the most only developed under bare machine environment and used the present age, and the most special is embedding
Enter formula operating system to be widely used on the single-chip microcomputer of complete series.And as palm PC and mobile phone
The high-end single-chip microcomputer of core processing even can directly use special Windows and Linux to operate system
System.
AT89C51 is a kind of band 4K byte FLASH memory (FPEROM Flash
Programmable and Erasable Read Only Memory) low-voltage, high-performance CMOS 8
Bit microprocessor, also with 2K byte Flash-Programmable erasable read-only memory.Single-chip microcomputer can
Erasable read only memorizer can be wiped 1000 times repeatedly.This device uses ATMEL high density non-volatile
Memorizer manufacturing technology manufactures, mutually compatible with the MCS-51 instruction set of industrial standard and output pin.
Owing to multi-functional 8 bit CPUs and flash memory are combined in one single chip, ATMEL's
AT89C51 is a kind of efficiently microcontroller, and AT89C2051 is its a kind of compact version.AT89C51
Single-chip microcomputer is the scheme that a lot of embedded control system provides that a kind of motility is high and inexpensive.
Use the present invention be positioned at traffic intersection across solid line road vehicle identification system, for existing knowledge
The technical problem that other scheme is the most artificial, detection efficiency is low and wastes time and energy, by analyzing traffic road
Mouthful solid line distribution shape, use targetedly multiple high efficiency image processing equipment realize to across
The discriminating of solid line vehicles peccancy, maintains the fairness of road driving effectively, it is to avoid robs behaviour therefore sends out
Raw, the law enforcement for control of traffic and road department improves important evidence.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-mentioned enforcement
Example is not limited to the present invention.For any those of ordinary skill in the art, without departing from
Under technical solution of the present invention ambit, all may utilize the technology contents of the disclosure above to the technology of the present invention
Scheme makes many possible variations and modification, or is revised as the Equivalent embodiments of equivalent variations.Therefore,
Every content without departing from technical solution of the present invention, the technical spirit of the foundation present invention is to above example
Any simple modification, equivalent variations and the modification done, all still falls within technical solution of the present invention protection
In the range of.
Claims (1)
1. be positioned at traffic intersection across solid line a road vehicle identification method, the method includes:
1) provide a kind of be positioned at traffic intersection across solid line road vehicle identification system, described identification system
System includes portable hard drive, AT89C51 single-chip microcomputer, image recognition apparatus and high-definition camera equipment, described
Portable hard drive has prestored the solid line characteristics of image of traffic intersection, and described high-definition camera equipment is to described traffic
Crossing carries out the image acquisition two width crossing images with acquisition interval Preset Time, and described image recognition sets
For being connected respectively with described high-definition camera equipment and described portable hard drive, based on described solid line characteristics of image
Respectively described two width crossing images are carried out image procossing, described AT89C51 single-chip microcomputer and described image
Identification equipment connects, and determines whether described traffic intersection exists across solid line based on described processing result image
And road vehicle；
2) described system is used to be identified；
It is characterized in that, described identification system also includes:
Luminance sensor, is positioned on described high-definition camera equipment, is used for detecting described high-definition camera equipment
The ambient brightness of surrounding；
Lighting source, is positioned on described high-definition camera equipment, for the figure for described high-definition camera equipment
Floor light is provided as gathering；
User input device, for the operation according to user, inputs Preset Time, solid line upper limit gray scale
Threshold value and solid line lower limit gray threshold, described solid line upper limit gray threshold and described solid line lower limit gray scale threshold
Value is for by the solid line in image and background separation；
Wireless communication interface, sets up two-way wireless communication link with the control of traffic and road platform of far-end,
For receiving the control instruction of described control of traffic and road platform wireless transmission；
Described portable hard drive is connected with described user input device, be used for receiving and store described default time
Between, described solid line upper limit gray threshold and described lower limit gray threshold；
Described high-definition camera equipment is a CMOS vision sensor, the resolution of described two width crossing images
Rate is all 1920 × 1080, and described two width crossing images are divided at front crossing according to the time sequencing gathered
Image and at rear crossing image；
Described image recognition apparatus is connected respectively with described high-definition camera equipment and described portable hard drive, institute
State image recognition apparatus and include image pre-processing unit, solid region regional partition unit, vehicle feature recognition
Unit and vehicle match unit, described image pre-processing unit is connected with described high-definition camera equipment, uses
In Image semantic classification will be carried out respectively at front crossing image with at rear crossing image, to obtain at front pre-place
Reason image and in rear pretreatment image, described Image semantic classification include contrast strengthen, wavelet filtering and
Gray processing processes, and described solid region regional partition unit is hard with described image pre-processing unit and described movement
Dish connects respectively, by described in front pretreatment image gray value at described solid line upper limit gray threshold and
Pixel identification between described solid line lower limit gray threshold also forms multiple in front solid line sub pattern, according to
The plurality of in front solid line sub pattern in described position in front pretreatment image from described front pre-
Process in image cut out multiple at front solid region area image, the plurality of at front solid region area image
Quantity is identical with the quantity of the traffic aisle of described traffic intersection, and each is at front solid region area image pair
Answer a traffic aisle, also by described in rear pretreatment image gray value in described solid line upper limit gray scale
Pixel identification between threshold value and described solid line lower limit gray threshold also forms multiple at rear solid line subgraph
Case, according to the plurality of in rear solid line sub pattern in described position in rear pretreatment image from described
Rear pretreatment image cut out multiple at rear solid region area image, the plurality of in rear solid line region
The quantity of image is identical with the quantity of the traffic aisle of described traffic intersection, and each is in rear solid line region
The corresponding traffic aisle of image, described vehicle feature recognition unit and described solid region regional partition unit
Connect, identify the feature of each multiple vehicle in the area image of front solid region as multiple at front truck
Feature, identify the feature of each multiple vehicle in the area image of rear solid region as multiple rear
Vehicle characteristics, described vehicle match unit is connected with described vehicle feature recognition unit, when there being two
Traffic aisle, one of them traffic aisle corresponding at front solid region area image and another traffic aisle
When there is identical vehicle characteristics in the area image of rear solid region of correspondence, know based on default OCR
Other algorithm has identical in corresponding the identifying in the area image of rear solid region of another traffic aisle described
The number-plate number of the vehicle of vehicle characteristics is to export as the number-plate number violating the regulations；
Described AT89C51 single-chip microcomputer and described image recognition apparatus, described luminance sensor, described photograph
Source, Mingguang City, described wireless communication interface, described portable hard drive and described high-definition camera equipment connect respectively,
Described AT89C51 single-chip microcomputer based on high-definition camera equipment described in built-in Timer Controlling according to described
The interval of Preset Time gathers described two width crossing images, is sent to by described two width crossing images described
Image recognition apparatus, to carry out image procossing, receives the license plate number violating the regulations of described image recognition apparatus output
Code, described AT89C51 single-chip microcomputer is additionally based upon described ambient brightness and controls the auxiliary photograph of described lighting source
Bright brightness；
Wherein, described wireless communication interface receives the described number-plate number violating the regulations, and by described car plate violating the regulations
Number and wireless is sent to described control of traffic and road platform；
Wherein, described image pre-processing unit, described solid region regional partition unit, described vehicle characteristics
The fpga chip that recognition unit and described vehicle match unit are respectively adopted different model realizes,
Described identification system also includes:
Display device, is connected with described AT89C51 single-chip microcomputer, shows described car plate violating the regulations in real time
Number,
Described display device is LCDs, is positioned on the cross bar above described traffic intersection.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510575636.3A CN105185120B (en) | 2015-03-08 | 2015-03-08 | A kind of be positioned at traffic intersection across solid line road vehicle identification method |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510575636.3A CN105185120B (en) | 2015-03-08 | 2015-03-08 | A kind of be positioned at traffic intersection across solid line road vehicle identification method |
| CN201510101448.7A CN104658266B (en) | 2015-03-08 | 2015-03-08 | A kind of be positioned at traffic intersection across solid line road vehicle identification method |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510101448.7A Division CN104658266B (en) | 2015-03-08 | 2015-03-08 | A kind of be positioned at traffic intersection across solid line road vehicle identification method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105185120A CN105185120A (en) | 2015-12-23 |
| CN105185120B true CN105185120B (en) | 2016-11-02 |
Family
ID=53249328
Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510101448.7A Expired - Fee Related CN104658266B (en) | 2015-03-08 | 2015-03-08 | A kind of be positioned at traffic intersection across solid line road vehicle identification method |
| CN201510574515.7A Active CN105046979B (en) | 2015-03-08 | 2015-03-08 | It is a kind of positioned at traffic intersection across solid line and road vehicle identification method |
| CN201510575636.3A Active CN105185120B (en) | 2015-03-08 | 2015-03-08 | A kind of be positioned at traffic intersection across solid line road vehicle identification method |
Family Applications Before (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510101448.7A Expired - Fee Related CN104658266B (en) | 2015-03-08 | 2015-03-08 | A kind of be positioned at traffic intersection across solid line road vehicle identification method |
| CN201510574515.7A Active CN105046979B (en) | 2015-03-08 | 2015-03-08 | It is a kind of positioned at traffic intersection across solid line and road vehicle identification method |
Country Status (1)
| Country | Link |
|---|---|
| CN (3) | CN104658266B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104658266B (en) * | 2015-03-08 | 2016-08-24 | 泰州市安腾轴皮厂（集团） | A kind of be positioned at traffic intersection across solid line road vehicle identification method |
| CN105654736B (en) * | 2016-03-28 | 2018-03-27 | 南京铁道职业技术学院 | vehicle identification system with camera and image processing method |
| CN106710246A (en) * | 2017-02-09 | 2017-05-24 | 山东大学 | Traffic jam preventing system and method applicable to expressway leaving intersection of expressway |
| CN107886734A (en) * | 2017-12-07 | 2018-04-06 | 苏州诚满信息技术有限公司 | A kind of intelligent cross-line detection method and its system for road traffic |
| CN108109390A (en) * | 2018-02-02 | 2018-06-01 | 沈阳市公安局交通警察支队 | A kind of road traffic changeable driveway regulator control system and regulation and control method |
| CN109886229A (en) * | 2018-06-15 | 2019-06-14 | 上海工程技术大学 | License plate face identification system and method based on FPGA |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101593422B (en) * | 2009-06-15 | 2010-12-01 | 无锡骏聿科技有限公司 | Traffic violation detection method based on video tracking and pattern recognition |
| JP5703864B2 (en) * | 2011-03-14 | 2015-04-22 | 富士通株式会社 | Vehicle detection device, vehicle detection method, and vehicle detection program |
| CN102254429B (en) * | 2011-05-13 | 2013-07-10 | 东南大学 | Video identification-based detection method of detection device of violation vehicles |
| CN102394012B (en) * | 2011-06-21 | 2013-07-10 | 陆化普 | Monitoring system having preset bit function for vehicle crossing over markings and method thereof |
| JP2015057686A (en) * | 2012-12-21 | 2015-03-26 | 株式会社デンソー | Attention alert device |
| DE102013219023A1 (en) * | 2013-09-23 | 2015-03-26 | Conti Temic Microelectronic Gmbh | Method and device for assisting a driver of a vehicle when changing lanes |
| CN103778786B (en) * | 2013-12-17 | 2016-04-27 | 东莞中国科学院云计算产业技术创新与育成中心 | A kind of break in traffic rules and regulations detection method based on remarkable vehicle part model |
| CN204087489U (en) * | 2014-09-17 | 2015-01-07 | 深圳市林润实业有限公司 | A kind of digital-scroll technique high-definition electronic police grasp shoot device |
| CN104658266B (en) * | 2015-03-08 | 2016-08-24 | 泰州市安腾轴皮厂（集团） | A kind of be positioned at traffic intersection across solid line road vehicle identification method |
-
2015
- 2015-03-08 CN CN201510101448.7A patent/CN104658266B/en not_active Expired - Fee Related
- 2015-03-08 CN CN201510574515.7A patent/CN105046979B/en active Active
- 2015-03-08 CN CN201510575636.3A patent/CN105185120B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN104658266A (en) | 2015-05-27 |
| CN105046979A (en) | 2015-11-11 |
| CN105185120A (en) | 2015-12-23 |
| CN105046979B (en) | 2017-05-31 |
| CN104658266B (en) | 2016-08-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105185120B (en) | A kind of be positioned at traffic intersection across solid line road vehicle identification method | |
| CN104658265B (en) | System for recognizing vehicle crossing full line and changing lanes at traffic intersection | |
| CN104835344B (en) | Traffic intersection information release terminal | |
| CN103136938A (en) | Pedestrian crossing passage traffic light intelligent control system | |
| CN106023623A (en) | Recognition and early warning method of vehicle-borne traffic signal and symbol based on machine vision | |
| CN205665896U (en) | Intersection signal lamp state recognition device | |
| CN102496282A (en) | Traffic intersection signal light state identification method based on RGB color transformation | |
| CN205681535U (en) | Vehicle-mounted accurate backing track aid system | |
| CN103488987A (en) | Video-based method and device for detecting traffic lights | |
| CN105988422A (en) | Remote driving control system and method for vehicles | |
| CN102013170A (en) | Vehicle counting-based traffic light control system and control method thereof | |
| CN206249555U (en) | It is a kind of to be gone across the road caution system for reducing the pedestrian of traffic accident | |
| CN203849870U (en) | Wireless network-based traffic flow monitoring and signal lamp intelligent control system | |
| CN110379172A (en) | The generation method and device of traffic rules, storage medium, electronic device | |
| Vani et al. | Intelligent traffic control system with priority to emergency vehicles | |
| CN109743554A (en) | A kind of intelligence traffic police robot | |
| CN204010330U (en) | Traffic intersection information release terminal | |
| CN204423635U (en) | Be positioned at traffic intersection across solid line and road vehicle identification system | |
| CN105243849A (en) | Traffic data collecting method of crossing where signal lamp is located | |
| CN102930721A (en) | Traffic violation monitoring and punishing system | |
| CN105225480A (en) | Pass through data acquisition system (DAS) in crossing, signal lamp place | |
| CN111724349B (en) | Image smudge recognition method based on HSV and SVM | |
| CN105162872B (en) | Application generation information technology is used the method for carrying out management and control to vehicle car light | |
| CN104751640B (en) | Cross solid line and the vehicle detection platform lack of standardization in road | |
| Sari et al. | Traffic sign detection and recognition system for autonomous RC cars |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| CB03 | Change of inventor or designer information |
Inventor after: Liu Gengxin Inventor before: The inventor has waived the right to be mentioned |
|
| COR | Change of bibliographic data | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20160912 Address after: 266199 No. 217, middle Chongqing Road, Licang District, Shandong, Qingdao, 103 Applicant after: Liu Gengxin Address before: 214000 Jiangsu city of Wuxi Province East Pavilion Street Xishan District Yingbin Road No. 1 Applicant before: Wuxi Sani pacifies Science and Technology Ltd. |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| CB03 | Change of inventor or designer information |
Inventor after: Xiao Qixuan Inventor before: The inventor has waived the right to be mentioned |
|
| COR | Change of bibliographic data | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20160930 Address after: 70, 3 floor, No. 162, South Ring Road, manhole street, Baoan District, Guangdong, Shenzhen 518104, China Applicant after: Shenzhen Tu Wo get Science and Technology Ltd. Address before: 266199 No. 217, middle Chongqing Road, Licang District, Shandong, Qingdao, 103 Applicant before: Liu Gengxin |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |