CN104282150B - Recognition device and system of moving target - Google Patents
Recognition device and system of moving target Download PDFInfo
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- CN104282150B CN104282150B CN201410513251.XA CN201410513251A CN104282150B CN 104282150 B CN104282150 B CN 104282150B CN 201410513251 A CN201410513251 A CN 201410513251A CN 104282150 B CN104282150 B CN 104282150B
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- moving target
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- 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
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- 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
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Abstract
The embodiment of the invention discloses a recognition device and system of a moving target. The device comprises a monitoring image collecting unit, a moving target determining unit, an extracting unit and a recognition unit. The monitoring image collecting unit is used for collecting monitoring images of a monitoring zone according to a preset time interval. The moving target determining unit is used for determining whether the moving target exists in the monitoring images. The extracting unit is used for extracting the appearance feature and/or the speed feature of the moving target when the moving target exists in the monitoring images. The recognition unit is used for recognizing the type of the moving target according to the appearance feature and/or the speed feature of the moving target. The type of the moving target can be a motor vehicle or a non-motor vehicle or a pedestrian. According to the device and system, recognition of the motor vehicle, the non-motor vehicle and the pedestrian in a mixed lane can be achieved, and then comprehensive monitoring of the motor vehicle, the non-motor vehicle and the pedestrian in the mixed lane is achieved.
Description
Technical field
The present invention relates to technical field of intelligent traffic, particularly relate to the identification Apparatus and system of a kind of moving target.
Background technology
Along with the development of society, the raising of people's safety consciousness, it will usually at some traffic main arteries, fastlink and cross
The important location such as crossing, arranges video monitoring equipment, captures with the vehicle to above-mentioned important location dealing and identifies,
And then realize the monitoring to above-mentioned important location.Wherein, video monitoring equipment is main, is by knowing the car plate of motor vehicles
Do not identify vehicle, and the bicycle and pedestrian that do not have car plate can not be identified.
But, at the Special section that bicycle and pedestrian are more, the such as combination area of city and country and the gateway etc. of community, warp
Often have some mixed runways, it is allowed to motor vehicles, bicycle and pedestrian pass through simultaneously.Ensure these Special section
Safety, just need to be monitored motor vehicles, bicycle and pedestrian comprehensively.
As it was previously stated, existing video monitoring equipment can only realize the monitoring to motor vehicles, and cannot realize bicycle
It is monitored with pedestrian.Therefore the identification Apparatus and system of a kind of moving target is needed badly, to realize motor-driven in mixed runway
The identification of car, bicycle and pedestrian, and then realize comprehensive prison of motor vehicles, bicycle and pedestrian in mixed runway
Control.
Summary of the invention
The embodiment of the present invention provides the identification Apparatus and system of a kind of moving target, to realize motor-driven in mixed runway
The identification of car, bicycle and pedestrian, and then realize comprehensive prison of motor vehicles, bicycle and pedestrian in mixed runway
Control.
In order to solve above-mentioned technical problem, the embodiment of the invention discloses following technical scheme:
First aspect, it is provided that the identification device of a kind of moving target, including:
Monitoring image collecting unit, for according to prefixed time interval, the monitoring image in acquisition monitoring region；
Moving target determines unit, is used for determining in monitoring image whether there is moving target；
Extraction unit, for when there is moving target in monitoring image, extracts resemblance and/or the speed of moving target
Degree feature；
Recognition unit, for the resemblance according to moving target and/or velocity characteristic, identifies the type of moving target；
The type of moving target includes motor vehicles, bicycle and pedestrian.
In conjunction with first aspect, in the first possible implementation of first aspect, described recognition unit includes:
First form fit subelement, for special with the profile of the motor vehicles prestored by the resemblance of moving target
Levy and match；
First motor vehicles identification subelement, is used for when the resemblance of moving target and the profile of the motor vehicles prestored are special
When levying that the match is successful, identify that the type of moving target is motor vehicles；
First Speed coupling subelement, is used for the resemblance of the resemblance when moving target and the motor vehicles prestored
When it fails to match, the velocity characteristic of moving target is special with the speed of the velocity characteristic of the bicycle prestored and pedestrian respectively
Levy and match；
First bicycle identification subelement, is used for when the velocity characteristic of moving target and the speed of the bicycle prestored are special
When levying that the match is successful, identify that the type of moving target is bicycle；
First pedestrian identifies subelement, for mating into the velocity characteristic of the pedestrian prestored when the velocity characteristic of moving target
During merit, identify that the type of moving target is pedestrian.
In conjunction with first aspect, in the implementation that first aspect the second is possible, described recognition unit includes:
Second speed coupling subelement, for special with the speed of the bicycle prestored respectively by the velocity characteristic of moving target
The velocity characteristic of pedestrian of seeking peace matches；
Second bicycle identification subelement, is used for when the velocity characteristic of moving target and the speed of the bicycle prestored are special
When levying that the match is successful, identify that the type of moving target is bicycle；
Second pedestrian identifies subelement, for mating into the velocity characteristic of the pedestrian prestored when the velocity characteristic of moving target
During merit, identify that the type of moving target is pedestrian；
Second form fit subelement, for when the velocity characteristic of moving target and the velocity characteristic of the bicycle prestored and
The velocity characteristic of pedestrian is time all it fails to match, by the resemblance of the resemblance of moving target and the motor vehicles prestored mutually
Join；
Second motor vehicles identification subelement, is used for the resemblance of the resemblance when moving target and the motor vehicles prestored
When being made into merit, identify that the type of moving target is motor vehicles.
In conjunction with first aspect, in the third possible implementation of first aspect, described recognition unit includes:
3rd form fit subelement, outside by the resemblance of moving target respectively with the motor vehicles prestored
The resemblance of shape feature, the resemblance of bicycle and pedestrian matches；
3rd motor vehicles identification subelement, is used for when the resemblance of moving target and the profile of the motor vehicles prestored are special
When levying that the match is successful, identify that the type of moving target is motor vehicles；
3rd bicycle identification subelement, outside the resemblance when moving target is with the bicycle prestored
During shape characteristic matching success, identify that the type of moving target is bicycle；
The third line people identifies subelement, is used for the resemblance of the resemblance when moving target and the pedestrian prestored
When being made into merit, identify that the type of moving target is pedestrian.
In conjunction with first aspect, in the 4th kind of possible implementation of first aspect, described recognition unit includes:
Fourth speed coupling subelement, for by the velocity characteristic of moving target respectively with the speed of the motor vehicles prestored
The velocity characteristic of degree feature, the velocity characteristic of bicycle and pedestrian matches；
4th motor vehicles identification subelement, is used for the velocity characteristic of the velocity characteristic when moving target and motor vehicles
When the match is successful, identify that the type of moving target is motor vehicles；
4th bicycle identification subelement, is used for the speed of the velocity characteristic when moving target and bicycle
During characteristic matching success, identify that the type of moving target is bicycle；
Fourth line people identifies subelement, for mating with the velocity characteristic of pedestrian when the velocity characteristic of moving target
During success, identify that the type of moving target is pedestrian.
In conjunction with first aspect, in the 5th kind of possible implementation of first aspect, described moving target determines that unit includes:
First detection sub-unit, is used for detecting in monitoring image and whether there is pre-set image feature；
First determines subelement, for when there is pre-set image feature, determining and there is moving target in monitoring image.
In conjunction with first aspect, in the 6th kind of possible implementation of first aspect, described moving target determines that unit includes:
Second detection sub-unit, whether the background area of the M width monitoring image for detecting continuous acquisition changes, institute
Stating M is the integer more than or equal to 2；
Second determines subelement, for when a change, determines and there is moving target in monitoring image.
In conjunction with first aspect, in the 7th kind of possible implementation of first aspect, in the type of described identification moving target
Afterwards, also include:
Extraction unit, for extracting identification information from the moving target identified；
Suspicion matching unit, for by identification information and the suspected vehicles information prestored or suspect's information match；
Alarm unit, is used for when the match is successful, alert.
In conjunction with first aspect, in the 8th kind of possible implementation of first aspect, in the monitoring in described acquisition monitoring region
Before image, also include:
Optical detecting unit, for detecting whether the light intensity in monitoring region reaches to preset light intensity；
Light filling unit, for when not up to presetting light intensity, carries out light filling to monitoring region.
Second aspect, it is provided that the identification system of a kind of moving target, including the identification device of terminal server and moving target；
The identification device of described moving target, for identifying the moving target in monitoring region, and the moving target that will be identified
Send to described terminal server；
Described terminal server, for storing described moving target by the classification of motor vehicles, bicycle and pedestrian.
The beneficial effect comprise that first monitoring image collecting unit, prison can be gathered according to default time interval
The monitoring image in control region；Secondly, moving target determines unit, it may be determined that whether there is fortune in the monitoring image gathered
Moving-target；Again, extraction unit, can work as time monitoring image exists moving target, extract the resemblance of moving target
And/or velocity characteristic；Finally, recognition unit, can according to the resemblance of the moving target extracted and/or velocity characteristic,
The type of identification moving target is motor vehicles, bicycle or pedestrian；Thus, it could be seen that use assembly of the invention and system,
Can realize the identification of motor vehicles, bicycle and pedestrian in mixed runway, and then achieve motor vehicles, bicycle
Overall monitor with pedestrian.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In technology description, the required accompanying drawing used is briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
The structural representation identifying device of the moving target that Fig. 1 provides for the embodiment of the present invention；
Another structural representation identifying device of the moving target that Fig. 2 provides for the embodiment of the present invention；
The another structural representation identifying device of the moving target that Fig. 3 provides for the embodiment of the present invention；
Another structural representation identifying device of the moving target that Fig. 4 provides for the embodiment of the present invention；
The another structural representation identifying device of the moving target that Fig. 5 provides for the embodiment of the present invention；
Another structural representation identifying device of the moving target that Fig. 6 provides for the embodiment of the present invention；
The another structural representation identifying device of the moving target that Fig. 7 provides for the embodiment of the present invention；
Another structural representation identifying device of the moving target that Fig. 8 provides for the embodiment of the present invention；
The another structural representation identifying device of the moving target that Fig. 9 provides for the embodiment of the present invention；
One schematic flow sheet of the recognition methods of the moving target that Figure 10 provides for the embodiment of the present invention；
One schematic flow sheet of the recognition methods of the moving target that Figure 11 provides for the embodiment of the present invention；
Another schematic flow sheet of the recognition methods of the moving target that Figure 12 provides for the embodiment of the present invention；
The another schematic flow sheet of the recognition methods of the moving target that Figure 13 provides for the embodiment of the present invention；
Another schematic flow sheet of the recognition methods of the moving target that Figure 14 provides for the embodiment of the present invention；
The another schematic flow sheet of the recognition methods of the moving target that Figure 15 provides for the embodiment of the present invention；
Another schematic flow sheet of the recognition methods of the moving target that Figure 16 provides for the embodiment of the present invention；
The another schematic flow sheet of the recognition methods of the moving target that Figure 17 provides for the embodiment of the present invention；
Another schematic flow sheet of the recognition methods of the moving target that Figure 18 provides for the embodiment of the present invention；
Another structural representation identifying device of the moving target that Figure 19 provides for the embodiment of the present invention.
Detailed description of the invention
Embodiments provide the identification device of a kind of moving target, as it is shown in figure 1, at least include: monitoring image
Collecting unit 11, moving target determine unit 12, extraction unit 13 and recognition unit 14, wherein:
Monitoring image collecting unit 11, for according to default time interval, the monitoring image in acquisition monitoring region；
In embodiments of the present invention, monitoring image collecting unit 11 can be photographing unit or video frequency pick-up head.
And when monitoring image collecting unit 11 is video frequency pick-up head, video frequency pick-up head continuable acquisition monitoring region
Monitor video；Then according to the time interval preset, from monitor video, obtain monitoring image.The form of monitoring image can
It is specially the forms such as BMP, JPEG and GIF.
In actual applications, for traffic control department, monitoring image collecting unit 11 can be to be arranged on mixed driving
The monitoring probe in road or CCTV camera, direct acquisition monitoring image；For individuals such as gateway, community and parking lots
Region, also need to arrange single monitoring probe or CCTV camera on road side.When being separately provided monitoring probe or monitoring
During video camera, monitoring probe or the setting angle of CCTV camera and direction need to be regulated, so that monitoring probe or monitoring camera
Machine can photograph whole monitoring region.
In view of moving target at the speed of service in monitoring region and the needs of the velocity characteristic extracting moving target, if
It is not spaced Preset Time acquisition monitoring image, arises that the monitoring image that a large amount of content repeats, take a large amount of internal memory, fall
The speed of low identification moving target type.
When acquisition monitoring image, default time interval user certainly, can implement at other according to selecting sets itself
In example, it is also with in the following manner and is set, such as: obtain the actual range in monitoring region, such as 100m, and
In monitoring region, the speed of moving target, such as 2m/s, finally combine the minimum required prison of type of recognizable moving target
The quantity of control image, such as 5, then the time interval preset can be set to 100m/ (2m/s*5)=10s.
Moving target determines unit 12, is used for determining in monitoring image whether there is moving target；
In embodiments of the present invention, moving target determines that the function of unit 12 can specifically be realized by image processor；And scheme
As processor can specifically be arranged in monitoring probe or CCTV camera.
In actual applications, in some time period in some prison territory, exploratory area, such as in the commuter time section of gateway, community,
Moving target may be seldom had to occur, then this has resulted in may not have moving target in the monitoring image gathered.
And the monitoring image not having moving target is analyzed and identifies, it is the most in all senses.Therefore, to motion mesh
Before mark is identified, need to first determine in monitoring image whether there is moving target.
In embodiments of the present invention, prison can be determined according to the background region of variation of a series of monitoring images of continuous acquisition
Whether control image exists moving target.Such as: the background of a frame monitoring image of continuous acquisition can be compared, if supervising
The background of control image changes, it is believed that there is moving target in monitoring image.
In other embodiments of the present invention, also can determine in monitoring image whether deposit according to the characteristic information of moving target
At moving target；And when existing characteristics information in monitoring image, i.e. it is believed that monitoring image exists moving target.And
The characteristic information of different types of moving target is also not quite similar, the characteristic information of such as motor vehicles can be motor vehicles car light,
Front face air inlet grid, the tailstock and car bonnet etc., and the characteristic information of bicycle can be the car shape of bicycle, vehicle seat, car
And rear vehicle seat etc., the characteristic information of pedestrian can be then face, arms and legs etc..In actual applications, user Ke Gen
According to demand sets itself customizing messages, do not repeat them here.
Extraction unit 13, for when monitoring image exists moving target, extract moving target resemblance and/or
Velocity characteristic；
In embodiments of the present invention, the function of extraction unit 13 also can specifically be realized by image processor；And image procossing
Device can specifically be arranged in monitoring probe or CCTV camera.
When determining moving target, the position of moving target need to be positioned further, extract the profile of moving target, as fortune
The resemblance of moving-target.
Utilize the monitoring image of continuous acquisition, obtain the actual displacement of moving target, and mobile above-mentioned distance time
Between；Utilize and above-mentioned calculate the speed of moving target away from discrete time, as the velocity characteristic of moving target.At this
In bright embodiment, the velocity characteristic calculating moving target with the following method can be adopted: assume monitoring image collecting unit 11 time
Between in t, collect N width monitoring image, certainly, N width monitoring image all exist moving target；According to moving target
Movement locus in N width monitoring image, calculates actual motion distance s of moving target, finally according to formula V=s/t,
Calculate the velocity characteristic of moving target.
Recognition unit 14, for the resemblance according to moving target and/or velocity characteristic, identifies the type of moving target；
The type of moving target includes motor vehicles, bicycle and pedestrian.
In embodiments of the present invention, the function of recognition unit 14 also can specifically be realized by image processor；And image procossing
Device can specifically be arranged in monitoring probe or CCTV camera.
Therefore, in embodiments of the present invention, first monitoring image collecting unit 11, can according to default time interval,
The monitoring image in acquisition monitoring region；Secondly, moving target determines unit 12, it may be determined that in the monitoring image gathered be
No there is moving target；Again, extraction unit 13, can work as time monitoring image exists moving target, extract moving target
Resemblance and/or velocity characteristic；Finally, recognition unit 14, can be according to the resemblance of the moving target extracted
And/or velocity characteristic, identify that the type of moving target is motor vehicles, bicycle or pedestrian；Thus, it could be seen that use this
Bright Apparatus and system, can realize the identification of motor vehicles, bicycle and pedestrian in mixed runway, so achieve right
The overall monitor of motor vehicles, bicycle and pedestrian.
It should be noted that the bicycle of the present invention espespecially electric motor car and automatic vehicle etc..And at the extraction unit of the present invention
Before 13 work, first with license plate retrieving unit, the car plate of moving target can be extracted；As can be straight in moving target
Connect and extract car plate, be then motor vehicles by moving target Direct Recognition.As car plate can not be extracted, recycle extraction unit 13
Extract resemblance and/or the velocity characteristic of moving target further.
In another possible embodiments of the present invention, as in figure 2 it is shown, the recognition unit 13 in above-mentioned all embodiments can
Including:
First form fit subelement 21, for special with the profile of the motor vehicles prestored by the resemblance of moving target
Levy and match；
As it was previously stated, the resemblance of moving target can be specially the profile of moving target, and the resemblance of motor vehicles can
It is stored in advance in monitoring probe or the built-in storage unit of CCTV camera or DOC.
It is considered that moving target distance is different according to the distance of machine machine or camera lens, captured monitoring image will be caused
In the size of moving target by difference.In actual applications, can first the resemblance of the motor vehicles stored be carried out
Scaling, be scaled consistent with the resemblance of moving target after, then mate；
First motor vehicles identification subelement 22, is used for the resemblance of the resemblance when moving target and the motor vehicles prestored
When the match is successful, identify that the type of moving target is motor vehicles；
When the resemblance of moving target and the similarity of the resemblance of the motor vehicles prestored are more than and preset similarity, i.e.
It is believed that the match is successful, identify that the type of moving target is motor vehicles；And when similarity is less than or equal to default similarity,
I.e. think that coupling is unsuccessful.The size user presetting Similarity value can sets itself as required.
First Speed coupling subelement 23, for by the velocity characteristic of moving target respectively with the speed of the bicycle prestored
The velocity characteristic of feature and pedestrian matches；
In embodiments of the present invention, the velocity characteristic of bicycle and the velocity characteristic of pedestrian can be stored in advance in monitoring probe
Or in the built-in storage unit of CCTV camera or DOC.
The velocity characteristic user of bicycle can sets itself as required, it is possible to enter the speed of service of a large amount of bicycles
Row statistical analysis, it is thus achieved that the velocity characteristic of bicycle.And the velocity characteristic of bicycle can be a concrete numerical value, also
It can be a value range.Equally, the velocity characteristic of pedestrian also can user's sets itself as required, it is possible to user is to high number of row
The velocity characteristic of people carries out statistical analysis, it is thus achieved that the velocity characteristic of pedestrian.And the velocity characteristic of pedestrian can be one concrete equally
Numerical value, it is possible to be a value range.Regardless of whether the velocity characteristic of pedestrian is a concrete numerical value, still it is a value range,
The size of its numerical value is respectively less than the concrete numerical value of the velocity characteristic of bicycle.
First bicycle identification subelement 24, is used for the speed of the velocity characteristic when moving target and the bicycle prestored
During characteristic matching success, identify that the type of moving target is bicycle；
When the velocity characteristic of bicycle is a concrete numerical value, when velocity characteristic and the bicycle prestored of moving target
Velocity characteristic deviation less than predetermined deviation value time, i.e. think that the match is successful；Otherwise it is assumed that mate unsuccessful.
And when the velocity characteristic of bicycle is a value range, when the velocity characteristic of moving target is positioned at the non-maneuver prestored
Time in the range of the velocity characteristic of car, i.e. think that the match is successful；Otherwise it is assumed that mate unsuccessful.
First pedestrian identifies subelement 25, for mating with the velocity characteristic of the pedestrian prestored when the velocity characteristic of moving target
During success, identify that the type of moving target is pedestrian.
Equally, when the velocity characteristic of pedestrian is a concrete numerical value, when the velocity characteristic of moving target is with the pedestrian's prestored
When the deviation of velocity characteristic is less than predetermined deviation value, i.e. think that the match is successful；Otherwise it is assumed that mate unsuccessful.
And when the velocity characteristic of pedestrian is a value range, when the velocity characteristic of pedestrian is positioned at the velocity characteristic of the pedestrian prestored
In the range of time, i.e. think that the match is successful；Otherwise it is assumed that mate unsuccessful.
In actual applications, it is contemplated that the resemblance of non-motor-car is clearly distinguishable from bicycle and pedestrian, and due to shooting
The resemblance of the reasons such as angle, bicycle and pedestrian is not easily distinguishable sometimes；Therefore, in embodiments of the present invention, adopt
Identify bicycle by the resemblance of bicycle, and use velocity characteristic to distinguish bicycle and pedestrian.By upper
Method that is visible, that use the present invention, uses the former monitoring probe arranged or CCTV camera to realize, it is not necessary to extra
Configuration hardware, and method is simple, easy.Simultaneously as the present embodiment, resemblance is first used to carry out cognitron motor-car,
Use velocity characteristic to identify bicycle and pedestrian again, it is seen that method described in the present embodiment, it is adaptable to motor vehicles is more,
And bicycle and pedestrian's less monitoring region.
In the another possible embodiments of the present invention, as shown in figure 19, the recognition unit 13 in above-mentioned all embodiments can
Including:
Second speed coupling subelement 191, for by the velocity characteristic of moving target respectively with the speed of the bicycle prestored
The velocity characteristic of degree feature and pedestrian matches；
Second bicycle identification subelement 192, is used for the speed of the velocity characteristic when moving target and the bicycle prestored
During degree characteristic matching success, identify that the type of moving target is bicycle；
Second pedestrian identifies subelement 193, is used for the velocity characteristic of the velocity characteristic when moving target and the pedestrian prestored
When being made into merit, identify that the type of moving target is pedestrian；
Second form fit subelement 194, is used for when the velocity characteristic of moving target and the speed of the bicycle prestored are special
When seeking peace the velocity characteristic of pedestrian all it fails to match, by the resemblance of the resemblance of moving target with the motor vehicles prestored
Match；
Second motor vehicles identification subelement 195, is used for when the resemblance of moving target and the profile of the motor vehicles prestored are special
When levying that the match is successful, identify that the type of moving target is motor vehicles.
Therefore, in an embodiment of the present invention, the velocity characteristic first with moving target identifies bicycle and row
People；If the most unidentified success, then use resemblance to identify that whether it is as motor vehicles；Therefore, said method,
It is applicable to pedestrian and non motorized vehicle the most, and motor vehicles less monitoring region.
In another possible embodiments of the present invention, as it is shown on figure 3, the recognition unit 13 in above-mentioned all embodiments can
Including:
3rd form fit subelement 31, for special with the profile of the motor vehicles prestored respectively by the resemblance of moving target
Levy, the resemblance of the resemblance of bicycle and pedestrian matches；
3rd motor vehicles identification subelement 32, is used for the resemblance of the resemblance when moving target and the motor vehicles prestored
When the match is successful, identify that the type of moving target is motor vehicles；
3rd bicycle identification subelement 33, is used for the profile of the resemblance when moving target and the bicycle prestored
During characteristic matching success, identify that the type of moving target is bicycle；
The third line people identifies subelement 34, for mating with the resemblance of the pedestrian prestored when the resemblance of moving target
During success, identify that the type of moving target is pedestrian.
In view of in actual applications, the speed of bicycle and the speed of pedestrian likely difference are less, such as, non-
Under this extreme case that extremely slow and pedestrian the speed of the speed of motor vehicles is exceedingly fast；Now according in the embodiment of the present invention
Method, uses resemblance to distinguish motor vehicles, bicycle and pedestrian, then can be greatly reduced the probability of misrecognition.
In the another possible embodiments of the present invention, as shown in Figure 4, the recognition unit 13 in above-mentioned all embodiments can
Including:
Fourth speed coupling subelement 42, for special with the speed of the motor vehicles prestored respectively by the velocity characteristic of moving target
Levy, the velocity characteristic of the velocity characteristic of bicycle and pedestrian matches；
4th motor vehicles identification subelement 43, for mating into the velocity characteristic of motor vehicles when the velocity characteristic of moving target
During merit, identify that the type of moving target is motor vehicles；
4th bicycle identification subelement 44, is used for the velocity characteristic of the velocity characteristic when moving target and bicycle
When being made into merit, identify that the type of moving target is bicycle；
Fourth line people identifies subelement 45, and for the velocity characteristic of velocity characteristic and pedestrian when moving target, the match is successful
Time, identify that the type of moving target is pedestrian.
In view of in reality application, due to the reason such as shooting angle of monitoring image, use the resemblance of moving target not
Bicycle and pedestrian can accurately be distinguished, and use the device in the embodiment of the present invention, use velocity characteristic to identify fortune
Moving-target is bicycle, motor vehicles or pedestrian, then can reduce the probability misidentified in the case.
In another possible embodiments of the present invention, as it is shown in figure 5, the moving target in above-mentioned all embodiments determines list
Unit 12 comprises the steps that
First detection sub-unit 51, is used for detecting in monitoring image and whether there is pre-set image feature；
In embodiments of the present invention, pre-set image feature can be the feature easy to identify of various types of moving target, such as machine
The car light of motor-car, front face air inlet grid, the tailstock and car bonnet etc., car shape, vehicle seat, handlebar and the rear vehicle seat etc. of bicycle,
The face of pedestrian, arms and legs etc..In actual applications, user can sets itself pre-set image feature, it is possible to by greatly
Amount experiment, it is thus achieved that the feature easy to identify of various types of moving targets, as pre-set image feature.
First determines subelement 52, for when there is pre-set image feature, determining and there is moving target in monitoring image.
In embodiments of the present invention, can work as and detect time monitoring image exists any one pre-set image feature, i.e. determine prison
There is moving target in control image；Such as, when can work as car light motor vehicles being detected, i.e. determine and monitoring image exists fortune
Moving-target；Also can work as and detect time monitoring image exists at least two pre-set image feature, just determine in monitoring image and deposit
At moving target；Such as, can work as and be detected simultaneously by the car light of motor vehicles and front face air inlet grid, just determine in monitoring image
There is moving target, and any feature information in car light and front face air inlet grid detected, i.e. think in monitoring image not
There is moving target, this way it is possible to avoid due to detection mistake, the misinterpretation caused.
Use method described in the present embodiment, mainly it is considered that the monitoring image gathered in some period does not exist fortune
Moving-target, if now, is still identified monitoring image, and this occupies the process time of processor undoubtedly, reduces and identifies
The speed of moving target.
In the another possible embodiments of the present invention, as shown in Figure 6, the moving target in above-mentioned all embodiments determines list
Unit 12 comprises the steps that
Second detection sub-unit 61, whether the background area of the M width monitoring image for detecting continuous acquisition changes,
M is the integer more than or equal to 2；
Second determines subelement 62, for when a change, determines in monitoring image whether there is moving target.
If having moving target moving in view of monitoring region, then the background area of the monitoring image of continuous acquisition is bound to
Change.Therefore, when the background area of monitoring image changes, i.e. can determine that in monitoring image and there is moving target.
In another possible embodiments of the present invention, as it is shown in fig. 7, the device in above-mentioned all embodiments, identifying fortune
After the type of moving-target, may also include that
Extraction unit 71, for extracting identification information from the moving target identified；
In embodiments of the present invention, identification information can be the feature easy to identify of different types of movement target；Such as, motor vehicles
The identification information of the moving target of type can be car mark, vehicle color, vehicle and the number-plate number etc. of motor vehicles；Pedestrian's class
The identification information of other moving target can be the height of pedestrian, face etc.；The mark letter of the moving target of bicycle classification
Breath can be vehicle and the color etc. of bicycle.
Suspicion matching unit 72, for by the identification information of extraction and the suspected vehicles information prestored or suspect's information phase
Join；
In embodiments of the present invention, can be by the identification information extracted from motor vehicles or bicycle and suspected vehicles information phase
Join, such as: the number-plate number of the identification information number-plate number of motor vehicles with suspected vehicles is matched, if the match is successful,
Then think and moving target exists suspected vehicles.
By the identification information extracted from pedestrian and suspect's information match.Such as: by identification information face and the suspicion of pedestrian
The face doubting people mates, if matched, then it is assumed that there is suspect in moving target；
Alarm unit 73, is used for when the match is successful, alert；
In embodiments of the present invention, when the match is successful, alarm sound and display suspicion moving target can be sent as warning
Information, to remind traffic-police or other staff.In other embodiments of the present invention, it is possible to when the match is successful,
The particular location etc. of the identification information of suspect and/or suspected vehicles and monitoring region is sent to police as warning message
The server of office, to notify that police personnel where there is suspect and/or suspected vehicles.
Therefore, use the said apparatus of the present invention, can realize automatically detecting suspected vehicles and suspicion personnel, and in inspection
When measuring suspected vehicles and suspect, also can alert automatically.
In the another possible embodiments of the present invention, as shown in Figure 8, the device in above-mentioned all embodiments, may also include that
Optical detecting unit 81, for detecting whether the light intensity in monitoring region reaches to preset light intensity；
Light filling unit 82, for when not up to presetting light intensity, carries out light filling to monitoring region.
The function of light filling unit can specifically be realized by arbitrary in light compensating lamp, flash lamp, can by light compensating lamp and flash lamp altogether
With realizing.
In view of in the case of night or ambient deficiency, captured monitoring image may be the most high-visible, from
And cause and can not identify moving target.Therefore, before shooting monitoring image, the light intensity in detection monitoring region；And
When monitoring the light intensity deficiency in region, monitoring region is carried out light filling, so that it is guaranteed that captured monitoring image is clear
Visible, and then accurately identify moving target.
The invention also discloses the identification system of a kind of moving target, as shown in Figure 9, it may include in above-mentioned all embodiments
The identification device 91 of moving target and terminal server 92；
Wherein, the identification device 91 of moving target, for identifying the moving target in monitoring region, and the motion mesh that will identify
Mark sends to terminal server 92；
Terminal server 92, for storing moving target by the classification of motor vehicles, bicycle and pedestrian.
Concrete, the identification information of the moving target extracted can be sent to terminal service by the identification device 91 of moving target
Device；Accordingly, terminal server 92 can store the identification information of moving target.
It is considered that due to job demand, traffic control department or public security department, sometimes need to check that certain period is by monitoring region
Motor vehicles, bicycle and pedestrian.Employing assembly of the invention, traffic control department or public security department, only need to be in terminal service
Device searches the moving target of desirable type, and need not checking monitoring video again.Such as: public security officer need to check
At motor vehicles B day whether having license plate number to be XXX through monitoring region, using the system of the present invention, public security officer only needs
Make a look up in terminal server 92 looks only for the motor vehicles stored B day, without viewing B day all of prison
Control video recording.Therefore, use assembly of the invention, can increase work efficiency.
For convenience of description, it is divided into various unit to be respectively described with function when describing apparatus above.Certainly, this is being implemented
The function of each unit can be realized in same or multiple softwares and/or hardware during invention.
Apparatus and system embodiment described above is only that schematically the unit wherein illustrated as separating component can
To be or to may not be physically separate, the parts shown as unit can be or may not be physics list
Unit, i.e. may be located at a place, or can also be distributed on multiple NE.Can select according to the actual needs
Select some or all of module therein to realize the purpose of the present embodiment scheme.Those of ordinary skill in the art are not paying
In the case of creative work, i.e. it is appreciated that and implements.
The invention also discloses the recognition methods of a kind of moving target, as shown in Figure 10, at least comprise the following steps:
Step S101: according to prefixed time interval, the monitoring image in acquisition monitoring region；
Step S102: determine in monitoring image whether there is moving target；
Step S103: when there is moving target in monitoring image, resemblance and/or the speed of extracting moving target are special
Levy；
Step S104: according to resemblance and/or the velocity characteristic of moving target, identify the type that fortune target is known；Motion
The type of target includes motor vehicles, bicycle and pedestrian.
Therefore, in embodiments of the present invention, first can be according to default time interval, the monitoring in acquisition monitoring region
Image；Next can determine that in gathered monitoring image whether there is moving target；Again, can work as in monitoring image and exist
During moving target, extract resemblance and/or the velocity characteristic of moving target；Finally, can be according to the moving target extracted
Resemblance and/or velocity characteristic, identify moving target type be motor vehicles, bicycle or pedestrian；Thus, it could be seen that
The method using the present invention, can realize the identification of motor vehicles, bicycle and pedestrian in mixed runway, and then achieve
Overall monitor to motor vehicles, bicycle and pedestrian.
In another embodiment of the present invention, as shown in figure 11, step S104 in above-mentioned all embodiments comprises the steps that
Step S111: the resemblance of the resemblance of moving target with the motor vehicles prestored is matched；When the match is successful
Time, enter step S112；Otherwise enter step S113；
Step S112: the type of identification moving target is motor vehicles；
Step S113: by the velocity characteristic of moving target respectively with velocity characteristic and the speed of pedestrian of the bicycle prestored
Degree feature matches；
Step S114: when the match is successful for the velocity characteristic of velocity characteristic and the bicycle prestored of moving target, identify
The type of moving target is bicycle；
Step S115: when the match is successful for the velocity characteristic of velocity characteristic and the pedestrian prestored of moving target, identify motion
The type of target is pedestrian.
In another embodiment of the invention, as shown in figure 12, step S104 in above-mentioned all embodiments can at least be wrapped
Include:
Step S122: by the velocity characteristic of moving target respectively with velocity characteristic and the speed of pedestrian of the bicycle prestored
Degree feature matches；
Step S123: when the match is successful for the velocity characteristic of velocity characteristic and the bicycle prestored of moving target, identify
The type of moving target is bicycle；
Step S124: when the match is successful for the velocity characteristic of velocity characteristic and the pedestrian prestored of moving target, identify motion
The type of target is pedestrian；
Step S125: when velocity characteristic with the bicycle prestored of the velocity characteristic of moving target and the velocity characteristic of pedestrian
When all it fails to match, the resemblance of the resemblance of moving target with the motor vehicles prestored is matched；
Step S126: when the match is successful for the resemblance of resemblance and the motor vehicles prestored of moving target, identify fortune
The type of moving-target is motor vehicles.
In another embodiment of the present invention, as shown in figure 13, step S104 in above-mentioned all embodiments can at least be wrapped
Include:
Step S131: by the resemblance of moving target respectively with the resemblance of the motor vehicles prestored, bicycle outside
The resemblance of shape feature and pedestrian matches；
Step S132: when the match is successful for the resemblance of resemblance and the motor vehicles prestored of moving target, identify fortune
The type of moving-target is motor vehicles；
Step S133: when the match is successful for the resemblance of resemblance and the bicycle prestored of moving target, identify
The type of moving target is bicycle；
Step S134: when the match is successful for the resemblance of resemblance and the pedestrian prestored of moving target, identify motion
The type of target is pedestrian.
In another embodiment of the invention, as shown in figure 14, step S104 in above-mentioned all embodiments can at least be wrapped
Include:
Step S141: by the velocity characteristic of moving target respectively with velocity characteristic, the speed of bicycle of the motor vehicles prestored
The velocity characteristic of degree feature and pedestrian matches；
Step S142: when the match is successful for the velocity characteristic of velocity characteristic and motor vehicles of moving target, identify moving target
Type be motor vehicles；
Step S143: when the match is successful for the velocity characteristic of velocity characteristic and bicycle of moving target, identify motion mesh
Target type is bicycle；
Step S144: when the match is successful for the velocity characteristic of velocity characteristic and pedestrian of moving target, identify moving target
Type is pedestrian.
In the another possible embodiments of the present invention, as shown in figure 15, step S102 in above-mentioned all embodiments can be wrapped
Include:
Step S151: whether there is pre-set image feature in detection monitoring image；
Step S152: when there is pre-set image feature, determines and there is moving target in monitoring image.
In another possible embodiments of the present invention, as shown in figure 16, step S102 in above-mentioned all embodiments can be wrapped
Include:
Step S161: whether the background area of M width monitoring image of detection continuous acquisition changes, M for more than or etc.
In the integer of 2；；
Step S162: when a change, determines and there is moving target in monitoring image.
In the another possible embodiments of the present invention, as shown in figure 17, step S103 in above-mentioned all embodiments it
After, may also include that
Step S171: extract identification information from the moving target identified；
Step S172: by identification information and the suspected vehicles information prestored or suspect's information match；
Step S173: when the match is successful, alert.
In another possible embodiments of the present invention, as shown in figure 18, step S101 in above-mentioned all embodiments it
Before, may also include that
Step S181: whether the light intensity in detection monitoring region reaches to preset light intensity；
Step S182: when not up to presetting light intensity, carries out light filling to monitoring region.
The above is only the detailed description of the invention of the present invention, makes to skilled artisans appreciate that or realize the present invention.
Multiple amendment to these embodiments will be apparent to one skilled in the art, and as defined herein one
As principle can realize in other embodiments without departing from the spirit or scope of the present invention.Therefore, this
The bright the embodiments shown herein that is not intended to be limited to, and be to fit to and principles disclosed herein and features of novelty
The widest consistent scope.
Claims (9)
1. the identification device of a moving target, it is characterised in that including:
Monitoring image collecting unit, for according to prefixed time interval, the monitoring image in acquisition monitoring region；
Moving target determines unit, is used for determining in monitoring image whether there is moving target；
Extraction unit, for when there is moving target in monitoring image, resemblance and the speed of extracting moving target are special
Levy；
Recognition unit, for the resemblance according to moving target and velocity characteristic, identifies the type of moving target；Motion
The type of target includes motor vehicles, bicycle and pedestrian；
Described recognition unit includes:
First form fit subelement, for special with the profile of the motor vehicles prestored by the resemblance of moving target
Levy and match；
First motor vehicles identification subelement, is used for when the resemblance of moving target and the profile of the motor vehicles prestored are special
When levying that the match is successful, identify that the type of moving target is motor vehicles；
First Speed coupling subelement, is used for the resemblance of the resemblance when moving target and the motor vehicles prestored
When it fails to match, the velocity characteristic of moving target is special with the speed of the velocity characteristic of the bicycle prestored and pedestrian respectively
Levy and match；
First bicycle identification subelement, is used for when the velocity characteristic of moving target and the speed of the bicycle prestored are special
When levying that the match is successful, identify that the type of moving target is bicycle；
First pedestrian identifies subelement, for mating into the velocity characteristic of the pedestrian prestored when the velocity characteristic of moving target
During merit, identify that the type of moving target is pedestrian.
2. the identification device of a moving target, it is characterised in that including:
Monitoring image collecting unit, for according to prefixed time interval, the monitoring image in acquisition monitoring region；
Moving target determines unit, is used for determining in monitoring image whether there is moving target；
Extraction unit, for when there is moving target in monitoring image, resemblance and the speed of extracting moving target are special
Levy；
Recognition unit, for the resemblance according to moving target and velocity characteristic, identifies the type of moving target；Motion
The type of target includes motor vehicles, bicycle and pedestrian；
Described recognition unit includes:
Second speed coupling subelement, for special with the speed of the bicycle prestored respectively by the velocity characteristic of moving target
The velocity characteristic of pedestrian of seeking peace matches；
Second bicycle identification subelement, is used for when the velocity characteristic of moving target and the speed of the bicycle prestored are special
When levying that the match is successful, identify that the type of moving target is bicycle；
Second pedestrian identifies subelement, for mating into the velocity characteristic of the pedestrian prestored when the velocity characteristic of moving target
During merit, identify that the type of moving target is pedestrian；
Second form fit subelement, for when the velocity characteristic of moving target and the velocity characteristic of the bicycle prestored and
The velocity characteristic of pedestrian is time all it fails to match, by the resemblance of the resemblance of moving target and the motor vehicles prestored mutually
Join；
Second motor vehicles identification subelement, is used for the resemblance of the resemblance when moving target and the motor vehicles prestored
When being made into merit, identify that the type of moving target is motor vehicles.
3. the identification device of a moving target, it is characterised in that including:
Monitoring image collecting unit, for according to prefixed time interval, the monitoring image in acquisition monitoring region；
Moving target determines unit, is used for determining in monitoring image whether there is moving target；
Extraction unit, for when there is moving target in monitoring image, extracts the resemblance of moving target；
Recognition unit, for the resemblance according to moving target, identifies the type of moving target；The type of moving target
Including motor vehicles, bicycle and pedestrian；
Described recognition unit includes:
3rd form fit subelement, outside by the resemblance of moving target respectively with the motor vehicles prestored
The resemblance of shape feature, the resemblance of bicycle and pedestrian matches；
3rd motor vehicles identification subelement, is used for when the resemblance of moving target and the profile of the motor vehicles prestored are special
When levying that the match is successful, identify that the type of moving target is motor vehicles；
3rd bicycle identification subelement, outside the resemblance when moving target is with the bicycle prestored
During shape characteristic matching success, identify that the type of moving target is bicycle；
The third line people identifies subelement, is used for the resemblance of the resemblance when moving target and the pedestrian prestored
When being made into merit, identify that the type of moving target is pedestrian.
4. the identification device of a moving target, it is characterised in that including:
Monitoring image collecting unit, for according to prefixed time interval, the monitoring image in acquisition monitoring region；
Moving target determines unit, is used for determining in monitoring image whether there is moving target；
Extraction unit, for when there is moving target in monitoring image, extracts the velocity characteristic of moving target；
Recognition unit, for the velocity characteristic according to moving target, identifies the type of moving target；The type of moving target
Including motor vehicles, bicycle and pedestrian；
Described recognition unit includes:
Fourth speed coupling subelement, for by the velocity characteristic of moving target respectively with the speed of the motor vehicles prestored
The velocity characteristic of degree feature, the velocity characteristic of bicycle and pedestrian matches；
4th motor vehicles identification subelement, is used for the velocity characteristic of the velocity characteristic when moving target and motor vehicles
When the match is successful, identify that the type of moving target is motor vehicles；
4th bicycle identification subelement, is used for the speed of the velocity characteristic when moving target and bicycle
During characteristic matching success, identify that the type of moving target is bicycle；
Fourth line people identifies subelement, for mating with the velocity characteristic of pedestrian when the velocity characteristic of moving target
During success, identify that the type of moving target is pedestrian.
5. according to the device described in any one of claim 1-4, it is characterised in that described moving target determines that unit includes:
First detection sub-unit, is used for detecting in monitoring image and whether there is pre-set image feature；
First determines subelement, for when there is pre-set image feature, determining and there is moving target in monitoring image.
6. according to the device described in any one of claim 1-4, it is characterised in that described moving target determines that unit includes:
Second detection sub-unit, whether the background area of the M width monitoring image for detecting continuous acquisition changes, institute
Stating M is the integer more than or equal to 2；
Second determines subelement, for when a change, determines and there is moving target in monitoring image.
7. according to the device described in any one of claim 14, it is characterised in that in the class of described identification moving target
After type, also include:
Extraction unit, for extracting identification information from the moving target identified；
Suspicion matching unit, for by identification information and the suspected vehicles information prestored or suspect's information match；
Alarm unit, is used for when the match is successful, alert.
8. according to the device described in any one of claim 14, it is characterised in that at the prison in described acquisition monitoring region
Before control image, also include:
Optical detecting unit, for detecting whether the light intensity in monitoring region reaches to preset light intensity；
Light filling unit, for when not up to presetting light intensity, carries out light filling to monitoring region.
9. the identification system of a moving target, it is characterised in that include terminal server and as claim 1-4 is appointed
The identification device of one described moving target；
The identification device of described moving target, for identifying the moving target in monitoring region, and the moving target that will be identified
Send to described terminal server；
Described terminal server, for storing described moving target by the classification of motor vehicles, bicycle and pedestrian.
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Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106250862A (en) * | 2016-08-06 | 2016-12-21 | 张阳 | Type of sports recognition methods and system |
| CN107460837B (en) * | 2016-12-14 | 2020-02-21 | 北京无线电计量测试研究所 | Intelligent gate system for lane special for bicycle |
| CN107447699B (en) * | 2016-12-14 | 2019-10-25 | 北京无线电计量测试研究所 | A kind of high-adaptability cycle path intelligent gate system |
| CN108256541B (en) * | 2016-12-29 | 2021-01-12 | 杭州海康威视数字技术股份有限公司 | License plate identification recognition method and device |
| CN107590486B (en) * | 2017-10-11 | 2020-06-19 | 广州杰赛科技股份有限公司 | Moving object identification method and system, and bicycle flow statistical method and equipment |
| CN109960961A (en) * | 2017-12-14 | 2019-07-02 | 中国电信股份有限公司 | Pedestrian recognition method and device |
| CN108492573A (en) * | 2018-03-09 | 2018-09-04 | 姜鹏飞 | A kind of identification of non-motor vehicle, localization method and system |
| CN109040664A (en) * | 2018-06-01 | 2018-12-18 | 深圳市商汤科技有限公司 | video stream processing method and device, electronic equipment and storage medium |
| CN109151312A (en) * | 2018-09-04 | 2019-01-04 | 广州视源电子科技股份有限公司 | Focusing method and device and video exhibition stand |
| CN109302583A (en) * | 2018-10-11 | 2019-02-01 | 福建睿思特科技股份有限公司 | Public security prevention and control system and public security preventing control method |
| CN110147731B (en) * | 2019-04-16 | 2021-09-14 | 深圳云天励飞技术有限公司 | Vehicle type identification method and related product |
| CN112131916B (en) * | 2019-06-25 | 2024-06-04 | 杭州海康威视数字技术股份有限公司 | Target snapshot method and device, electronic equipment and storage medium |
| CN110738858B (en) * | 2019-10-31 | 2020-11-10 | 浙江大华技术股份有限公司 | Camera image processing method, coder-decoder and storage device |
| CN112257811B (en) * | 2020-11-11 | 2022-04-19 | 珠海大横琴科技发展有限公司 | Ship classification method and device, electronic equipment and storage medium |
| CN113077623B (en) * | 2021-03-12 | 2022-02-08 | 南通大学 | Statistical system for measuring traffic volume by categories and working method |
| CN113920706A (en) * | 2021-08-28 | 2022-01-11 | 北京工业大学 | Abnormal event prevention and control method based on image recognition |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006018339A (en) * | 2004-06-30 | 2006-01-19 | Hitachi Ltd | License plate recognition device and method |
| CN101017573A (en) * | 2007-02-09 | 2007-08-15 | 南京大学 | Method for detecting and identifying moving target based on video monitoring |
| CN101388145A (en) * | 2008-11-06 | 2009-03-18 | 北京汇大通业科技有限公司 | Auto alarming method and device for traffic safety |
| CN101587640A (en) * | 2008-05-20 | 2009-11-25 | 奥城同立科技开发（北京）有限公司 | Anti-glare road traffic camera system |
| CN101587641A (en) * | 2008-05-21 | 2009-11-25 | 上海新联纬讯科技发展有限公司 | Detection and identification system for vehicle license plate |
| CN102592457A (en) * | 2012-02-13 | 2012-07-18 | 山东鼎讯智能交通科技有限公司 | Compound type interval velocity-measuring system based on internet of things technology and method thereof |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130265423A1 (en) * | 2012-04-06 | 2013-10-10 | Xerox Corporation | Video-based detector and notifier for short-term parking violation enforcement |
-
2014
- 2014-09-29 CN CN201410513251.XA patent/CN104282150B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006018339A (en) * | 2004-06-30 | 2006-01-19 | Hitachi Ltd | License plate recognition device and method |
| CN101017573A (en) * | 2007-02-09 | 2007-08-15 | 南京大学 | Method for detecting and identifying moving target based on video monitoring |
| CN101587640A (en) * | 2008-05-20 | 2009-11-25 | 奥城同立科技开发（北京）有限公司 | Anti-glare road traffic camera system |
| CN101587641A (en) * | 2008-05-21 | 2009-11-25 | 上海新联纬讯科技发展有限公司 | Detection and identification system for vehicle license plate |
| CN101388145A (en) * | 2008-11-06 | 2009-03-18 | 北京汇大通业科技有限公司 | Auto alarming method and device for traffic safety |
| CN102592457A (en) * | 2012-02-13 | 2012-07-18 | 山东鼎讯智能交通科技有限公司 | Compound type interval velocity-measuring system based on internet of things technology and method thereof |
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| Publication number | Publication date |
|---|---|
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