CN105448096A - Law violation electronic identification platform positioned at crossroad - Google Patents
Law violation electronic identification platform positioned at crossroad Download PDFInfo
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- CN105448096A CN105448096A CN201510833396.2A CN201510833396A CN105448096A CN 105448096 A CN105448096 A CN 105448096A CN 201510833396 A CN201510833396 A CN 201510833396A CN 105448096 A CN105448096 A CN 105448096A
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Abstract
The invention relates to a law violation electronic identification platform positioned at a crossroad. The identification platform comprises a CMOS visual sense sensor, a detection band image divider, a vehicle image divider, a counter and an embedded processor; the CMSO visual sensor collects images in a straight going direction; the detection band image is used for separating the detection band image from the straight going direction image; the vehicle image divider is used for separating a moving vehicle image from the detection band image; the counter is connected to the vehicle image divider and is used for calculating number of frames of the moving vehicle image during the process of presetting the red light moment; the embedded type processor is connected to the counter; and whether the vehicle runs the red light is determined based on the counting result of the counter. The invention also uses the clear image processer to overcome the affect on the image by the haze weather. Through the invention, even under various haze whether, the electronic detection accuracy of the law violation vehicle can be guaranteed.
Description
The divisional application that the present invention is application number is 201510162839.X, the applying date is on April 8th, 2015, denomination of invention is the patent of " the electronic recognition platform violating the regulations being positioned at traffic intersection ".
Technical field
The present invention relates to detection of electrons field, particularly relate to a kind of electronic recognition platform violating the regulations being positioned at traffic intersection.
Background technology
Making a dash across the red light is one of most red route traffic safety hidden danger.He has following harmfulness: when 1, making a dash across the red light, the notice of driver is all on traffic lights, can not change inside and outside comprehensive and correct perception car, brings difficulty to the reaction of driver and measure; When 2, making a dash across the red light, the speed of a motor vehicle usually passing through crossing, all than comparatively fast, reduces the cognitive ability of driver to space; When 3, making a dash across the red light, driver declines to the judgement of all kinds of traffic environment, makes the thinking of driver judge sometimes or operate to make a fault; 4, crossing is point and the conflict point of traffic flow, makes a dash across the red light and increases the insecurity of point and conflict point itself, causes safety coefficient to decline; 5, make a dash across the red light affect driver in time, operating and controlling vehicle accurately and efficiently; 6, make a dash across the red light and affect the safety performance of vehicle, also reduce strain reflection ability and the strain disposing capacity of other traffic participants simultaneously; 7, facts have proved that the particularly serious traffic hazard of 90 percent all occurs in intersection, therefore usually all more serious by the caused damage sequence that makes a dash across the red light; 8, under traffic lights, as there is unconsciousization of driver, there is extreme harmfulness.
Bring accident in order to avoid making a dash across the red light to road traffic, the normal driving custom of specification driver, the control of traffic and road department of every country has all formulated extremely severe punishment rule to the behavior of making a dash across the red light.And the correct detection of behavior of wherein making a dash across the red light is the only resource ensureing control of traffic and road department law enforcement fairness.The existing pick-up unit that makes a dash across the red light be by common camera to red signal interval still current crossing vehicle carry out image taking, image recognition and Car license recognition, for control of traffic and road department provides the information of vehicles of illegal running, this means precision is not high, judgment rule is single, easily cause erroneous judgement, thus bring economic loss to the driver that abides by the law or have inconvenient traffic, meanwhile, this means are subject to the impact of haze weather.
Therefore, need a kind of technical scheme of new vehicles peccancy detection of electrons, take high precision filming instrument, and carry out ruling traffick by a more than criterion and whether make a dash across the red light, the accuracy that running red light for vehicle judges is provided, avoid situation about judging by accident to occur, and the impact of haze weather on image can be overcome, improve the reliability detected further.
Summary of the invention
In order to solve the problem, the invention provides a kind of electronic recognition platform violating the regulations being positioned at traffic intersection, introduce the vehicle of CMOS vision sensor to front end, the crossing presumptive area of predetermined red signal interval and carry out high precision shooting, and adopt the high-definition image of associated picture treatment facility to shooting to carry out target identification, introduce two position transducers also for performing the detection of running red light for vehicle simultaneously, whether make a dash across the red light according to two comprehensive ruling vehicles of testing result, avoid normal travel or going out front end, crossing presumptive area due to driver's erroneous judgement but the vehicle after the center line of crossing that stops is mistaken for and makes a dash across the red light, and add sharpening processing apparatus to remove the adverse effect of haze weather to image, the accuracy of comprehensive raising Identification platform.
According to an aspect of the present invention, provide a kind of electronic recognition platform violating the regulations being positioned at traffic intersection, described Identification platform comprises CMOS vision sensor, detection zone image segmentating device, vehicle image dispenser, counter and flush bonding processor, described CMOS vision sensor is used for taking the region, Through Lane direction in traffic intersection, to obtain craspedodrome directional image, described detection zone image segmentating device connects CMOS vision sensor, within the predetermined red light moment in Through Lane direction, detection zone image is isolated from described craspedodrome directional image, described vehicle image dispenser connects described detection zone image segmentating device, isolate the moving vehicle image in detection zone image, described counter connects described vehicle image dispenser, for calculating the frame number of moving vehicle image in the predetermined red light moment, described flush bonding processor is connected with described counter, within the predetermined red light moment, count results based on described counter determines whether there is running red light for vehicle.
More specifically, the described electronic recognition platform violating the regulations being arranged in traffic intersection, comprise further: user's entering apparatus, for the input according to user, set predetermined automobile upper limit gray threshold, predetermined automobile lower limit gray threshold and preset count threshold value, also according to the input of user, the detection zone in the Through Lane direction in traffic intersection is arranged, described detection zone is arranged on the front end, walkway in the Through Lane direction in traffic intersection, be a rectangular area, described detection zone occupies 120 × 80 picture element matrixs in described craspedodrome directional image, power supply, comprise solar powered device, accumulator, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, determine whether be switched to described solar powered device to be powered by described solar powered device according to accumulator dump energy, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage, position transducer, comprise primary importance sensing unit and second place sensing unit, described primary importance sensing unit is arranged on detection zone front position, vehicle whether is had through detection zone front position for detecting within the predetermined red light moment, if had, then export the first vehicle through signal, described second place sensing unit is arranged on traffic intersection position of center line, vehicle whether is had through traffic intersection position of center line for detecting within the predetermined red light moment, if had, then export the second vehicle through signal, primary importance sensing unit and second place sensing unit are all contact-sensing unit, by checking that the object contact that there is more than predetermined pressure defines vehicle and passes through, described traffic intersection position of center line is before described detection zone front position, synchronous DRAM SDRAM, connect user's entering apparatus, detection zone image segmentating device, vehicle image dispenser and flush bonding processor respectively, receive and store predetermined automobile upper limit gray threshold, predetermined automobile lower limit gray threshold, preset count threshold value and described detection zone configuration information, sharpening image processor, between described CMOS vision sensor and described detection zone image segmentating device, for receiving described craspedodrome directional image, mist elimination process is carried out to obtain mist elimination craspedodrome directional image to described craspedodrome directional image, replace described craspedodrome directional image, described mist elimination craspedodrome directional image is inputted described detection zone image segmentating device to isolate detection zone image, described sharpening image processor comprises: haze Concentration Testing subset, is arranged in air, for detecting the haze concentration of traffic intersection position in real time, and removes intensity according to haze concentration determination haze, and described haze removes intensity value between 0 to 1, overall air light value obtains subset, is connected to obtain described craspedodrome directional image, calculates the gray-scale value of each pixel in described craspedodrome directional image, by the gray-scale value of pixel maximum for gray-scale value air light value as a whole with described CMOS vision sensor, atmospheric scattering light value obtains subset, be connected respectively with described CMOS vision sensor and described haze Concentration Testing subset, to each pixel of described craspedodrome directional image, extract its R, G, in B tri-Color Channel pixel value, minimum value is as target pixel value, use and keep the Gaussian filter EPGF (edge-preservinggaussianfilter) at edge to carry out filtering process to obtain filtered target pixel value to described target pixel value, target pixel value is deducted filtered target pixel value to obtain object pixel difference, EPGF is used to carry out filtering process to obtain filtered target pixel value difference to object pixel difference, filtered target pixel value is deducted filtered target pixel value difference and remove reference value to obtain haze, haze is removed intensity and be multiplied by haze removal reference value to obtain haze removal threshold value, get haze and remove minimum value in threshold value and target pixel value as comparison reference, get the atmospheric scattering light value of the maximal value in comparison reference and 0 as each pixel, medium transmission rate obtains subset, obtain subset and described atmospheric scattering light value with described overall air light value to obtain subset and be connected respectively, the atmospheric scattering light value of each pixel is removed value divided by overall air light value to obtain, deducts 1 described except value is to obtain the medium transmission rate of each pixel, sharpening Image Acquisition subset, with described CMOS vision sensor, described overall air light value obtains subset and is connected respectively with described medium transmission rate acquisition subset, the medium transmission rate of each pixel is deducted to obtain the first difference by 1, described first difference is multiplied by overall air light value to obtain product value, the pixel value of each pixel in described craspedodrome directional image is deducted described product value to obtain the second difference, by described second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in described craspedodrome directional image, the pixel value of each pixel comprises the R of each pixel in described craspedodrome directional image, G, B tri-Color Channel pixel value, correspondingly, the sharpening pixel value of each pixel obtained comprises the R of each pixel, G, B tri-Color Channel sharpening pixel value, the sharpening pixel value composition mist elimination craspedodrome directional image of all pixels, described vehicle image dispenser is by the pixel identification of gray-scale value in detection zone image between predetermined automobile upper limit gray threshold and predetermined automobile lower limit gray threshold and form vehicle image, when there is vehicle image in detection zone image, based on front and back two frame vehicle image, determine whether vehicle moves, if motion, before and after judging, a frame is below moving vehicle image in two frame vehicle images, described Counter Value adds 1 automatically to calculate the frame number of moving vehicle image, a frame after in the frame vehicle image of front and back two is as new former frame, continue based on new front and back two frame vehicle image, perform above-mentioned moving vehicle image to judge and above-mentioned counter operation, until there is not vehicle image in detection zone image, described flush bonding processor is connected respectively with position transducer, counter and vehicle image dispenser, when receiving the first vehicle after the time that the first frame moving vehicle image in vehicle image dispenser is corresponding successively through signal and the second vehicle through signal, and Counter Value is when exceeding preset count threshold value, send vehicle and rush modulating signal, and the first frame moving vehicle image is sent to Car license recognition device, Car license recognition device, is connected with described flush bonding processor, based on the first frame moving vehicle image, according to the car plate data of algorithm of locating license plate of vehicle, Character Segmentation of License Plate and optical character recognition algorithms identification vehicle, radio data communication equipment, connect described Car license recognition device and described flush bonding processor, car plate data export Car license recognition device and rush Word message corresponding to modulating signal to send to the corresponding car owner of car plate data respectively mobile terminal and traffic control center by cordless communication network with vehicle.
More specifically, the described electronic recognition platform violating the regulations being arranged in traffic intersection, the instrument case being positioned at traffic intersection is all located at by described user's entering apparatus, described synchronous DRAM, described vehicle image dispenser, described flush bonding processor and described Car license recognition device.
More specifically, described in be arranged in the electronic recognition platform violating the regulations of traffic intersection, described CMOS vision sensor, described sharpening image processor and described radio data communication equipment are all arranged on the fixed bar above traffic intersection.
More specifically, described in be arranged in the electronic recognition platform violating the regulations of traffic intersection, the resolution of the craspedodrome directional image of described CMOS vision sensor shooting is 1920 × 1080.
More specifically, described in be arranged in the electronic recognition platform violating the regulations of traffic intersection, described flush bonding processor is Freescale IMX6 processor.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram being positioned at the electronic recognition platform violating the regulations of traffic intersection illustrated according to an embodiment of the present invention.
Fig. 2 is the block diagram being positioned at the position transducer of the electronic recognition platform violating the regulations of traffic intersection illustrated according to an embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings the embodiment being positioned at the electronic recognition platform violating the regulations of traffic intersection of the present invention is described in detail.
Road traffic signal lamp is the kind in traffic safety product, is to strengthen control of traffic and road, reduces the generation of traffic hazard, improves road occupation efficiency, improves a kind of important tool of traffic.Be applicable to the intersection such as cross, T-shaped, controlled by road traffic signal controller, guiding vehicle and pedestrains safety are passed through in an orderly manner.The kind of traffic lights mainly contains: car lane signal lamp, pedestrian crosswalk signal lamp (i.e. traffic lights), bicycle lane signal lamp, direction instruction signal lamp, Mobile traffic light, solar energy flashing warning light, charge station's ceiling signal lamp.Road traffic signal lamp is the important component part in traffic signals commander, is the basic language of road traffic.
Road traffic signal lamp is made up of red light (representing that no through traffic), green light (represent and allow to pass through), amber light (representing warning).Be divided into: motor vehicle signal lamp, bicycle signal lamp, pedestrian crosswalk signal lamp, lane signal lamp, direction instruction signal lamp, flashing, alarming signal lamp, road and railway plane intersection signal lamp.Be widely used in cross-road, bend, bridge etc. have the Dangerous Area of potential safety hazard, and conductor driver or pedestrian traffic promote to have a good transport and communication network, and avoid traffic accident and mishap generation.
Along with the development in city and the growth of private car quantity, have driver's quantity of driving qualification and get more and more.Because the driving habits of driver is different, or due to driver because urgent thing is made up for lost time, when road traffic signal lamp is red, still adhere to by crossing namely there is the situation of making a dash across the red light, and the time of at this moment other direction vehicles and pedestrians just, make a dash across the red light and very easily cause the accident of vehicle collision and accidental injury pedestrian to occur, to other people with oneself bring economic loss and personal injury, harm is comparatively large, is one of target of control of traffic and road department key monitoring.
The technical scheme judged of making a dash across the red light of the prior art, by the backstay near traffic intersection arranges camera head, identify in red time by the vehicle of front end, crossing presumptive area and judge, the license board information of the vehicle determining to make a dash across the red light being sent to control of traffic and road department so that follow-up law enforcement.Although this mode can judge the vehicle made a dash across the red light to a certain extent, but for going out front end, crossing presumptive area due to driver's erroneous judgement but the vehicle after the center line of crossing of stopping also is judged as making a dash across the red light, simultaneously because adopt single judgment rule and what perform shooting is common camera head, the unavoidable situation occurring erroneous judgement, thus judge that precision is not high, in addition, because city is easily subject to the invasion and attack of haze weather, under various haze weather in various degree, different to the influence degree of electronic image, objectively cause the possibility of failing to judge.
For this reason, the present invention proposes a kind of electronic recognition platform violating the regulations being positioned at traffic intersection, the resolution of shooting image can be provided, carry out image taking, image recognition and Car license recognition more accurately, adopt two kinds of decision rules to make a dash across the red light behavior in conjunction with ruling, improve the accuracy of detection being positioned at the electronic recognition platform violating the regulations of traffic intersection, further, increase the mist elimination haze process to electronic image, avoid situation of failing to judge to occur.
Fig. 1 is the block diagram being positioned at the electronic recognition platform violating the regulations of traffic intersection illustrated according to an embodiment of the present invention, described Identification platform comprises CMOS vision sensor 1, sharpening image processor 2, detection zone image segmentating device 3, vehicle image dispenser 4, counter 5 and flush bonding processor 6, described CMOS vision sensor 1 is for taking the region, Through Lane direction in traffic intersection, to obtain craspedodrome directional image, described sharpening image processor 2 is for receiving described craspedodrome directional image, mist elimination process is carried out to obtain mist elimination craspedodrome directional image to described craspedodrome directional image, described detection zone image segmentating device 3 isolates detection zone image from described mist elimination craspedodrome directional image, the moving vehicle image in detection zone image isolated by described vehicle image dispenser 4, described counter connects described vehicle image dispenser 4, for calculating the frame number of moving vehicle image in the predetermined red light moment, described flush bonding processor 6 and CMOS vision sensor 1, sharpening image processor 2, detection zone image segmentating device 3, vehicle image dispenser 4, counter 5 connects respectively, within the predetermined red light moment, count results based on described counter 5 determines whether there is running red light for vehicle.
Then, the described structure being positioned at the electronic recognition platform violating the regulations of traffic intersection is described more specifically.
Described Identification platform also comprises: user's entering apparatus, for the input according to user, set predetermined automobile upper limit gray threshold, predetermined automobile lower limit gray threshold and preset count threshold value, also according to the input of user, the detection zone in the Through Lane direction in traffic intersection is arranged, described detection zone is arranged on the front end, walkway in the Through Lane direction in traffic intersection, is a rectangular area, and described detection zone occupies 120 × 80 picture element matrixs in described craspedodrome directional image.
Described Identification platform also comprises: power supply, comprise solar powered device, accumulator, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, determine whether be switched to described solar powered device to be powered by described solar powered device according to accumulator dump energy, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage.
As shown in Figure 2, described Identification platform also comprises: position transducer 7, comprise primary importance sensing unit 71 and second place sensing unit 72, described primary importance sensing unit 71 is arranged on detection zone front position, vehicle whether is had through detection zone front position for detecting within the predetermined red light moment, if had, then export the first vehicle through signal, described second place sensing unit 72 is arranged on traffic intersection position of center line, vehicle whether is had through traffic intersection position of center line for detecting within the predetermined red light moment, if had, then export the second vehicle through signal, primary importance sensing unit 71 and second place sensing unit 72 are all contact-sensing unit, by checking that the object contact that there is more than predetermined pressure defines vehicle and passes through, described traffic intersection position of center line is before described detection zone front position.
Described Identification platform also comprises: synchronous DRAM SDRAM, connect user's entering apparatus, detection zone image segmentating device 3, vehicle image dispenser 4 and flush bonding processor 6 respectively, receive and store predetermined automobile upper limit gray threshold, predetermined automobile lower limit gray threshold, preset count threshold value and described detection zone configuration information.
Described sharpening image processor 2 is between described CMOS vision sensor 1 and described detection zone image segmentating device 3, for receiving described craspedodrome directional image, mist elimination process is carried out to obtain mist elimination craspedodrome directional image to described craspedodrome directional image, replace described craspedodrome directional image, described mist elimination craspedodrome directional image is inputted described detection zone image segmentating device 3 to isolate detection zone image.
Described sharpening image processor 3 comprises: haze Concentration Testing subset, is arranged in air, for detecting the haze concentration of traffic intersection position in real time, and removes intensity according to haze concentration determination haze, and described haze removes intensity value between 0 to 1.
Described sharpening image processor 3 comprises: overall air light value obtains subset, be connected to obtain described craspedodrome directional image with described CMOS vision sensor 1, calculate the gray-scale value of each pixel in described craspedodrome directional image, by the gray-scale value of pixel maximum for gray-scale value air light value as a whole.
Described sharpening image processor 3 comprises: atmospheric scattering light value obtains subset, be connected respectively with described CMOS vision sensor 1 and described haze Concentration Testing subset, to each pixel of described craspedodrome directional image, extract its R, G, in B tri-Color Channel pixel value, minimum value is as target pixel value, use and keep the Gaussian filter EPGF (edge-preservinggaussianfilter) at edge to carry out filtering process to obtain filtered target pixel value to described target pixel value, target pixel value is deducted filtered target pixel value to obtain object pixel difference, EPGF is used to carry out filtering process to obtain filtered target pixel value difference to object pixel difference, filtered target pixel value is deducted filtered target pixel value difference and remove reference value to obtain haze, haze is removed intensity and be multiplied by haze removal reference value to obtain haze removal threshold value, get haze and remove minimum value in threshold value and target pixel value as comparison reference, get the atmospheric scattering light value of the maximal value in comparison reference and 0 as each pixel.
Described sharpening image processor 3 comprises: medium transmission rate obtains subset, obtain subset and described atmospheric scattering light value with described overall air light value to obtain subset and be connected respectively, the atmospheric scattering light value of each pixel is removed value divided by overall air light value to obtain, deducts 1 described except value is to obtain the medium transmission rate of each pixel.
Described sharpening image processor 3 comprises: sharpening Image Acquisition subset, with described CMOS vision sensor 1, described overall air light value obtains subset and is connected respectively with described medium transmission rate acquisition subset, the medium transmission rate of each pixel is deducted to obtain the first difference by 1, described first difference is multiplied by overall air light value to obtain product value, the pixel value of each pixel in described craspedodrome directional image is deducted described product value to obtain the second difference, by described second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in described craspedodrome directional image, the pixel value of each pixel comprises the R of each pixel in described craspedodrome directional image, G, B tri-Color Channel pixel value, correspondingly, the sharpening pixel value of each pixel obtained comprises the R of each pixel, G, B tri-Color Channel sharpening pixel value, the sharpening pixel value composition mist elimination craspedodrome directional image of all pixels.
Described vehicle image dispenser 4 is by the pixel identification of gray-scale value in detection zone image between predetermined automobile upper limit gray threshold and predetermined automobile lower limit gray threshold and form vehicle image, when there is vehicle image in detection zone image, based on front and back two frame vehicle image, determine whether vehicle moves, if motion, before and after judging, a frame is below moving vehicle image in two frame vehicle images, described Counter Value adds 1 automatically to calculate the frame number of moving vehicle image, a frame after in the frame vehicle image of front and back two is as new former frame, continue based on new front and back two frame vehicle image, perform above-mentioned moving vehicle image to judge and above-mentioned counter operation, until there is not vehicle image in detection zone image.
Described flush bonding processor 6 is connected respectively with position transducer 7, counter 5 and vehicle image dispenser 4, when receiving the first vehicle after the time that the first frame moving vehicle image in vehicle image dispenser 4 is corresponding successively through signal and the second vehicle through signal, and the value of counter 5 is when exceeding preset count threshold value, send vehicle and rush modulating signal, and the first frame moving vehicle image is sent to Car license recognition device.
Described Identification platform also comprises: Car license recognition device, is connected with described flush bonding processor 6, based on the first frame moving vehicle image, according to the car plate data of algorithm of locating license plate of vehicle, Character Segmentation of License Plate and optical character recognition algorithms identification vehicle.
Described Identification platform also comprises: radio data communication equipment, connect described Car license recognition device and described flush bonding processor 6, car plate data export Car license recognition device and rush Word message corresponding to modulating signal to send to the corresponding car owner of car plate data respectively mobile terminal and traffic control center by cordless communication network with vehicle.
Alternatively, at the described electronic recognition platform violating the regulations being arranged in traffic intersection, the instrument case being positioned at traffic intersection is all located at by described user's entering apparatus, described synchronous DRAM, described vehicle image dispenser 4, described flush bonding processor 6 and described Car license recognition device; Described CMOS vision sensor 1, described sharpening image processor 2 and described radio data communication equipment are all arranged on the fixed bar above traffic intersection; The resolution of the craspedodrome directional image that described CMOS vision sensor 1 is taken is 1920 × 1080; Described flush bonding processor 6 is Freescale IMX6 processor.
In addition, haze image can realize the mist elimination haze of image by a series of images treatment facility, to obtain the image of sharpening, improves the visibility of image.These image processing equipments perform different image processing functions respectively, based on the principle that haze is formed, reach the effect removing haze.The sharpening process of haze image all has great using value for dual-use field, and military domain comprises military and national defense, remote sensing navigation etc., and civil area comprises road monitoring, target following and automatic Pilot etc.
The process that haze image is formed can be described by atmospheric attenuation process, relation between haze image and real image and sharpening image can be stated by the medium transmission rate of overall air light value and each pixel, namely when known haze image, according to the medium transmission rate of overall air light value with each pixel, sharpening image can be solved.
There are some effective and through verifying means in the solving of medium transmission rate for overall air light value and each pixel, such as, for the medium transmission rate of each pixel, need the atmospheric scattering light value obtaining overall air light value and each pixel, and the atmospheric scattering light value of each pixel can obtain carrying out the Gaussian smoothing filter at twice maintenance edge to the pixel value of each pixel in haze image, therebetween, the intensity of haze removal is adjustable; And the acquisition pattern of overall air light value has two kinds, a kind of mode is, black channel by obtaining haze image (namely makes the black channel value of some pixels very low in haze image, black channel is R, G, one in B tri-Color Channel), in haze image, obtain by finding the maximum pixel of gray-scale value in multiple pixels that searching black channel pixel value is bigger than normal, be about to the gray-scale value air light value as a whole of that search out, that gray-scale value is maximum pixel, participate in the sharpening process of each pixel in haze image; In addition, overall air light value is also by obtaining with under type: the gray-scale value calculating each pixel in haze image, by the gray-scale value of pixel maximum for gray-scale value air light value as a whole.
Relation between concrete haze image and real image and sharpening image, and the relation between parameters can see above content.
By the discussion to haze image formation basic theory, build the relation between haze image and sharpening image, by this relation of multiple Parametric Representation, subsequently by the multiple parameter values that obtain and haze image and the higher image of reducible acquisition sharpness, some statistical means and empirical means have been used in acquisition due to parameter, therefore the image that described sharpness is higher can not be equal to real image completely, but there is the mist elimination haze effect of certain degree, for the every field operation under haze weather provides effective guarantee.
Adopt the electronic recognition platform violating the regulations being positioned at traffic intersection of the present invention, not high for existing Identification platform precision of making a dash across the red light, easy erroneous judgement and the technical matters of failing to judge, high-definition camera is adopted to carry out red light running image shooting, position transducer and image recognition two kinds of results are combined, for determining whether vehicle passes through crossing in red signal interval, wherein have employed image recognition, License Plate, the image processing techniques such as License Plate Character Segmentation and optical character identification, whole Identification platform all obtains larger raising in accuracy rate and efficiency, the more important thing is, the use of mist elimination haze treatment facility decreases the haze composition in red light running image, avoid the generation of the situation of failing to judge.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.
Claims (2)
1. one kind is positioned at the electronic recognition platform violating the regulations of traffic intersection, it is characterized in that, described Identification platform comprises CMOS vision sensor, detection zone image segmentating device, vehicle image dispenser, counter and flush bonding processor, described CMOS vision sensor is used for taking the region, Through Lane direction in traffic intersection, to obtain craspedodrome directional image, described detection zone image segmentating device connects CMOS vision sensor, within the predetermined red light moment in Through Lane direction, detection zone image is isolated from described craspedodrome directional image, described vehicle image dispenser connects described detection zone image segmentating device, isolate the moving vehicle image in detection zone image, described counter connects described vehicle image dispenser, for calculating the frame number of moving vehicle image in the predetermined red light moment, described flush bonding processor is connected with described counter, within the predetermined red light moment, count results based on described counter determines whether there is running red light for vehicle.
2. be positioned at the electronic recognition platform violating the regulations of traffic intersection as claimed in claim 1, it is characterized in that, described Identification platform also comprises:
User's entering apparatus, for the input according to user, set predetermined automobile upper limit gray threshold, predetermined automobile lower limit gray threshold and preset count threshold value, also according to the input of user, the detection zone in the Through Lane direction in traffic intersection is arranged, described detection zone is arranged on the front end, walkway in the Through Lane direction in traffic intersection, is a rectangular area, and described detection zone occupies 120 × 80 picture element matrixs in described craspedodrome directional image;
Power supply, comprise solar powered device, accumulator, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described accumulator, determine whether be switched to described solar powered device to be powered by described solar powered device according to accumulator dump energy, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage;
Position transducer, comprise primary importance sensing unit and second place sensing unit, described primary importance sensing unit is arranged on detection zone front position, vehicle whether is had through detection zone front position for detecting within the predetermined red light moment, if had, then export the first vehicle through signal, described second place sensing unit is arranged on traffic intersection position of center line, vehicle whether is had through traffic intersection position of center line for detecting within the predetermined red light moment, if had, then export the second vehicle through signal, primary importance sensing unit and second place sensing unit are all contact-sensing unit, by checking that the object contact that there is more than predetermined pressure defines vehicle and passes through, described traffic intersection position of center line is before described detection zone front position,
Synchronous DRAM SDRAM, connect user's entering apparatus, detection zone image segmentating device, vehicle image dispenser and flush bonding processor respectively, receive and store predetermined automobile upper limit gray threshold, predetermined automobile lower limit gray threshold, preset count threshold value and described detection zone configuration information;
Sharpening image processor, between described CMOS vision sensor and described detection zone image segmentating device, for receiving described craspedodrome directional image, mist elimination process is carried out to obtain mist elimination craspedodrome directional image to described craspedodrome directional image, replace described craspedodrome directional image, described mist elimination craspedodrome directional image is inputted described detection zone image segmentating device to isolate detection zone image;
Described sharpening image processor comprises:
Haze Concentration Testing subset, is arranged in air, for detecting the haze concentration of traffic intersection position in real time, and removes intensity according to haze concentration determination haze, and described haze removes intensity value between 0 to 1;
Overall air light value obtains subset, is connected to obtain described craspedodrome directional image, calculates the gray-scale value of each pixel in described craspedodrome directional image, by the gray-scale value of pixel maximum for gray-scale value air light value as a whole with described CMOS vision sensor;
Atmospheric scattering light value obtains subset, be connected respectively with described CMOS vision sensor and described haze Concentration Testing subset, to each pixel of described craspedodrome directional image, extract its R, G, in B tri-Color Channel pixel value, minimum value is as target pixel value, use and keep the Gaussian filter EPGF at edge to carry out filtering process to obtain filtered target pixel value to described target pixel value, target pixel value is deducted filtered target pixel value to obtain object pixel difference, EPGF is used to carry out filtering process to obtain filtered target pixel value difference to object pixel difference, filtered target pixel value is deducted filtered target pixel value difference and remove reference value to obtain haze, haze is removed intensity and be multiplied by haze removal reference value to obtain haze removal threshold value, get haze and remove minimum value in threshold value and target pixel value as comparison reference, get the atmospheric scattering light value of the maximal value in comparison reference and 0 as each pixel,
Medium transmission rate obtains subset, obtain subset and described atmospheric scattering light value with described overall air light value to obtain subset and be connected respectively, the atmospheric scattering light value of each pixel is removed value divided by overall air light value to obtain, deducts 1 described except value is to obtain the medium transmission rate of each pixel;
Sharpening Image Acquisition subset, with described CMOS vision sensor, described overall air light value obtains subset and is connected respectively with described medium transmission rate acquisition subset, the medium transmission rate of each pixel is deducted to obtain the first difference by 1, described first difference is multiplied by overall air light value to obtain product value, the pixel value of each pixel in described craspedodrome directional image is deducted described product value to obtain the second difference, by described second difference divided by the medium transmission rate of each pixel to obtain the sharpening pixel value of each pixel, in described craspedodrome directional image, the pixel value of each pixel comprises the R of each pixel in described craspedodrome directional image, G, B tri-Color Channel pixel value, correspondingly, the sharpening pixel value of each pixel obtained comprises the R of each pixel, G, B tri-Color Channel sharpening pixel value, the sharpening pixel value composition mist elimination craspedodrome directional image of all pixels,
Described vehicle image dispenser is by the pixel identification of gray-scale value in detection zone image between predetermined automobile upper limit gray threshold and predetermined automobile lower limit gray threshold and form vehicle image, when there is vehicle image in detection zone image, based on front and back two frame vehicle image, determine whether vehicle moves, if motion, before and after judging, a frame is below moving vehicle image in two frame vehicle images, described Counter Value adds 1 automatically to calculate the frame number of moving vehicle image, a frame after in the frame vehicle image of front and back two is as new former frame, continue based on new front and back two frame vehicle image, perform above-mentioned moving vehicle image to judge and above-mentioned counter operation, until there is not vehicle image in detection zone image,
Described flush bonding processor is connected respectively with position transducer, counter and vehicle image dispenser, when receiving the first vehicle after the time that the first frame moving vehicle image in vehicle image dispenser is corresponding successively through signal and the second vehicle through signal, and Counter Value is when exceeding preset count threshold value, send vehicle and rush modulating signal, and the first frame moving vehicle image is sent to Car license recognition device;
Car license recognition device, is connected with described flush bonding processor, based on the first frame moving vehicle image, according to the car plate data of algorithm of locating license plate of vehicle, Character Segmentation of License Plate and optical character recognition algorithms identification vehicle;
Radio data communication equipment, connect described Car license recognition device and described flush bonding processor, car plate data export Car license recognition device and rush Word message corresponding to modulating signal to send to the corresponding car owner of car plate data respectively mobile terminal and traffic control center by cordless communication network with vehicle;
The instrument case being positioned at traffic intersection is all located at by described user's entering apparatus, described synchronous DRAM, described vehicle image dispenser, described flush bonding processor and described Car license recognition device;
Described CMOS vision sensor, described sharpening image processor and described radio data communication equipment are all arranged on the fixed bar above traffic intersection.
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| CN201510833396.2A CN105448096B (en) | 2015-04-08 | 2015-04-08 | It is positioned at the electronic recognition platform violating the regulations of traffic intersection |
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| CN201510833396.2A CN105448096B (en) | 2015-04-08 | 2015-04-08 | It is positioned at the electronic recognition platform violating the regulations of traffic intersection |
| CN201510162839.XA CN104715615B (en) | 2015-04-08 | 2015-04-08 | Be positioned at the electronic recognition platform violating the regulations of traffic intersection |
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Cited By (3)
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| CN105225490A (en) * | 2015-04-08 | 2016-01-06 | 姜翠英 | Be positioned at the electronic recognition platform violating the regulations of traffic intersection |
| CN108182806A (en) * | 2017-12-13 | 2018-06-19 | 中国联合网络通信集团有限公司 | One kind monitoring violating the regulations and data reporting system, method and apparatus |
| CN109949579A (en) * | 2018-12-31 | 2019-06-28 | 上海眼控科技股份有限公司 | A kind of illegal automatic auditing method that makes a dash across the red light based on deep learning |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118249218A (en) * | 2024-03-21 | 2024-06-25 | 南京程弥甫信息科技有限公司 | Directional shielding system for improving safety and stability of power transformation place |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN105225490A (en) | 2016-01-06 |
| CN104715615A (en) | 2015-06-17 |
| CN105225490B (en) | 2017-12-01 |
| CN105448096B (en) | 2016-09-14 |
| CN104715615B (en) | 2016-01-06 |
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