CN106954036A - Monitoring system and monitoring street lamp and its monitoring method based on 3D deep visions - Google Patents
Monitoring system and monitoring street lamp and its monitoring method based on 3D deep visions Download PDFInfo
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- CN106954036A CN106954036A CN201610008421.8A CN201610008421A CN106954036A CN 106954036 A CN106954036 A CN 106954036A CN 201610008421 A CN201610008421 A CN 201610008421A CN 106954036 A CN106954036 A CN 106954036A
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- deep
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N2013/0074—Stereoscopic image analysis
- H04N2013/0081—Depth or disparity estimation from stereoscopic image signals
Abstract
A monitoring system based on 3D deep visions and monitoring street lamp and its monitoring method are provided, wherein the monitoring system based on 3D deep visions includes:One image acquisition unit, obtains the image information in monitors environment;One 3D advanced treatment units, the image information to acquisition carries out depth analysis, processing;With an object identification unit, object type is judged based on depth analysis result.
Description
Technical field
The present invention relates to monitoring field, further, it is related to a monitoring system based on 3D deep visions and prison
Control street lamp and its monitoring method.
Background technology
With urban construction and the high speed development of trip requirements, people are to the coast is clear and the requirement of traffic safety
It is increasingly to be lifted.In road monitoring field, most of application is all based on single camera video detection.But
That the video detection system of single camera but has many unfavorable factors, such as, easily disturbed by ambient light,
Back-end processing analytical performance is poor etc..Therefore, a small amount of monitoring system based on dual camera was generated in the last few years
System.
Patent CN1023163.7A, proposes a kind of road traffic video detecting method and device, wherein using double
Camera is monitored detection, and relative to single camera, it can detect the depth information of object, but simultaneously
The three-dimensional information of object in itself is not described, and the actual state of road and environment is not also recognized.It is another
Aspect, patent CN103052968A proposes article detection device, object detecting method and program, and it is used
Dual camera is monitored detection, can be distinguished by with road pavement and object, but does not propose Intelligent Recognition thing
The three-dimensional information of body and analysis are judged in terms of ambient condition and feedback information.How to allow monitoring system intelligent
Identification surface conditions, and remind Surveillance center to make corresponding countermeasure as monitoring field urgent need to resolve
Problem.
The content of the invention
It is an object of the present invention to provide a monitoring system based on 3D deep visions, it is regarded based on depth
Feel is monitored, and can more accurately obtain road surface, vehicle, the position of personage and three-dimensional information.
It is another object of the present invention to provide a monitoring system based on 3D deep visions, it can be intelligent
Ground analysis, the video information for judging acquisition, reduce the process that direct surveillance and video are consulted, and improve monitoring efficiency.
It is another object of the present invention to provide a monitoring system based on 3D deep visions, it intelligently divides
Analysis, the image information for judging acquisition, and feed back unusual condition.
It is another object of the present invention to provide a monitoring system based on 3D deep visions, it passes through optics
Depth induction module detects Vehicle Speed, and detection is more accurate, and is easily installed and safeguards.
It is another object of the present invention to provide a monitoring system based on 3D deep visions, it can be with road
Lamp is combined, and is realized system-wide section monitoring, is made full use of street lamp resource, and should not configure extra light compensating apparatus.
It is another object of the present invention to provide a monitoring system based on 3D deep visions, it can feed back
Information, so as to more rationally, efficiently control the working condition of street lamp, reduces the waste of resource to street lamp.
It is another object of the present invention to provide a monitoring street lamp based on 3D deep visions, it will be based on 3D
The monitoring system of deep vision is blended with street lamp, realizes the dual-use function of illumination and monitoring.
It is another object of the present invention to provide a monitoring street lamp based on 3D deep visions, its by based on
The monitoring system control street lamp of 3D deep visions so that street lamp work is more intelligent, efficient.
It is another object of the present invention to provide a monitoring method based on 3D deep visions, it is based on depth
Visual theory, obtains the 3 D stereo information in video image, realizes Intelligent identification and monitoring.
In order to realize above goal of the invention, an aspect of of the present present invention provides a monitoring system based on 3D deep visions
System, including:One image acquisition unit, obtains the image information in monitors environment;One 3D advanced treatment units,
Image information to acquisition carries out depth analysis, processing;With an object identification unit, based on depth analysis result
Judge object type.
According to one embodiment of the invention, the monitoring system based on 3D deep visions is clapped including an image
The image information taken the photograph in unit, intake monitors environment, and it is transferred to described image acquiring unit.
According to one embodiment of the invention, image described in the monitoring system based on 3D deep visions is clapped
It is two camera devices to take the photograph unit.
According to one embodiment of the invention, the monitoring system based on 3D deep visions is pushed away including an information
Unit is sent, according to the result pushed information of the object identification unit to controlling position.
According to one embodiment of the invention, it is single that the monitoring system based on 3D deep visions includes a control
Member, according to the situation of monitors environment, controls the work of a street lamp.
According to one embodiment of the invention, it is single that the monitoring system based on 3D deep visions includes an output
Member, the information of the 3D advanced treatment units and object identification unit is exported.
According to one embodiment of the invention, advanced treating described in the monitoring system based on 3D deep visions
Unit includes a depth induction module, sensing detection Vehicle Speed.
Another aspect of the present invention provides a monitoring street lamp based on 3D deep visions, including:
Monitoring system described in one light supply apparatus and one, the monitoring system controls the work of the light supply apparatus.
Another aspect of the present invention provides a monitoring method based on 3D deep visions, including step:
(A) image information is gathered by two-way camera device;
(B) depth calculation, processing and analysis are carried out to image information;
(C) feedback analysis result.
Brief description of the drawings
Fig. 1 is the monitoring system block diagram based on 3D deep visions of first preferred embodiment according to the present invention.
Fig. 2 is the Monitoring System Frameworks based on 3D deep visions of first preferred embodiment according to the present invention.
Fig. 3 is the monitoring system application based on 3D deep visions of first preferred embodiment according to the present invention
Schematic diagram of a scenario.
Fig. 4 A, 4B, 4C are the prisons based on 3D deep visions of second preferred embodiment according to the present invention
Control street lamp schematic diagram.
Fig. 5 is taking the photograph for the monitoring street lamp based on 3D deep visions of second preferred embodiment according to the present invention
As a kind of angle of visual field schematic diagram of device.
Fig. 6 is the shooting of the monitoring street lamp according to the second, preferred embodiment of the present invention based on 3D deep visions
Another angle of visual field schematic diagram of device.
Fig. 7 is the monitoring method block diagram based on 3D deep visions of the above preferred embodiment according to the present invention.
Embodiment
Describe to be used to disclose the present invention below so that those skilled in the art can realize the present invention.In describing below
Preferred embodiment be only used as citing, it may occur to persons skilled in the art that other obvious modifications.With
The general principle of the invention defined in lower description can apply to other embodiments, deformation program, improvement side
Case, equivalent and the other technologies scheme without departing from the spirit and scope of the present invention.
It is the prison based on 3D deep visions of first preferred embodiment according to the present invention referring to figs. 1 to Fig. 3
Control system.The monitoring system is based on 3D deep vision principles, Intellectualized monitoring, detection, intelligently
Identification is detected the object in environment, road, vehicle, personage etc..Further, the monitoring system
Obtain video image information, information is handled, analyzed, in real time obtain environment in object three-dimensional information,
Motion state, positional information etc., the real time status in environment judged, early warning monitoring.
Reference picture 1 is the monitoring system frame based on 3D deep visions according to first preferred embodiment of the invention
Figure.The monitoring system 100 based on 3D deep visions includes an image capturing unit 110, an image and obtained
Take unit 120, a 3D advanced treatment units 130, an object identification unit 140, an information pushing unit
150th, a control unit 160 and an output unit 170.
Described image shooting unit 110 is used to obtain the image information in monitors environment.It is real according to the one of the present invention
Example is applied, described image shooting unit 110 is implemented as two camera devices 111,112, such as stereoscopic camera.
The image information obtained in environment is combined by camera device 111 described in two, 112, more specifically, obtaining vertical
Body image information.
Described image acquiring unit 120 obtains image information from described image shooting unit 110, follow-up to provide
The basic material of work.
It is noted that in an embodiment of the present invention, described image acquiring unit 120 can with wired or
Wirelessly image information is obtained from described image shooting unit 110.
The image information that the 3D advanced treatment units 130 are obtained based on described image acquiring unit 120 is right
Image information is handled, depth analysis.According to one embodiment of the invention, the 3D advanced treatment units
130 can analyze three-dimensional information, position of object etc. in acquisition monitoring of environmental.It is noted that the 3D
Advanced treatment unit 130 obtains the position of object and three-dimensional information in environment based on deep vision principle, compared to biography
The mode of system has higher accuracy.
It is noted that in one embodiment of this invention, the 3D advanced treatment units 130 can be wrapped
Two processing subelements are included, ISP Process1 and ISP Process2, reference picture 2 handles two shootings respectively
The image that device is shot is carried out, and then is carried out the image information of two camera devices together by 3DAlgorithm
Step, and analyze and process.
It is noted that in one embodiment of this invention, described two camera devices 111,112 are chosen
For RGB&IR cameras.That is, can receive can be with for two camera device 111,112 simultaneously
See light and infrared light.During monitoring, two camera device 111,112 absorbs two kinds of image letters respectively
Breath, you can see optical information and infrared optical information, the image information of acquisition respectively by the ISP Process1 and
ISP Process2 processing, by rgb signal and IR Signal separators, so as to obtain the image of 4 tunnels separation
Signal, be respectively:The rgb signal of the camera device 111, the IR signals of the camera device 111,
The rgb signal of the camera device 112, the IR signals of the camera device 112;Further, it is described to take the photograph
It is described as being passed through after the IR signals of device 111 and the IR signal synchronization process of the camera device 112
3DAlgorithm obtains depth image, the rgb signal and the camera device 112 of the camera device 111
Rgb signal after signal transacting by a YUV export, using bat as color video and if necessary
According to.
Those skilled in the art is it should be appreciated that framework described in Fig. 2 and related image processing process are said
It is bright only as an example, to illustrate one embodiment of the present invention, be not the present invention limitation, in the present invention
Other embodiment in, can also have other different embodiments.
The 3D advanced treatment units 130 include a depth induction module 131, sensing detection vehicle traveling speed
Degree.That is, the depth induction module 131 obtains the travel speed of object by the image information of acquisition.
Relative to existing Bus- Speed Monitoring mode, the depth inductive detection module 131 is installed, easy to use, maintenance
Low cost, and detect more accurate.The view-based access control model depth principle of depth inductive detection module 131 detects car
Fast information, with more preferable anti-interference, different from radar velocity measurement of the prior art, inductance coil or earth magnetism
Sensing etc., change or earth induction based on magnetic flux caused by metal object etc. detect the mode of speed, when having
The metal of non-vehicle by when, interference will be produced.
The object identification unit 140 is on the basis of the 3D advanced treatment units 130, further to dividing
Image information is analyzed, judged.More specifically, in one embodiment of this invention, the Object identifying list
The specific destination object of the identification of member 140, citing ground but is not limited to, road, vehicle in environment-identification, personnel,
Made a distinction, intelligently recognize so as to be realized.It is noted that in the prior art, major part is simultaneously
Object that can not well in environment-identification, and in some existing modes, sentence by way of height is compared
Disconnected object, and road surface or vehicle can only be distinguished, identification certainty is poor.
In one embodiment of this invention, the object type in the environment-identification of object identification unit 140, and
And the motion state of identification object, and judge whether object unusual condition occurs, such as judge whether to hand over
Lead to surprisingly or with the presence or absence of traffic jam etc..Citing ground but be not limited to, can by way of thermal sensation identification ring
The object type and motion state in border.
The pushed information of described information push unit 150 is to the monitoring position, such as Surveillance center, road monitoring
Sentry box etc..More specifically, in one embodiment of this invention, it is described right that described information push unit 150 is based on
As the result that recognition unit 140 is recognized, by abnormal conditions real time propelling movement to monitoring position, and early warning is in monitoring
Position, so as to remind monitoring personnel to make corresponding countermeasure in time.Citing ground, when there are abnormal conditions, such as
Traffic accident, road surface exception, congested with cars, personnel are missing etc., start flashing mode or the police of early warning
Report sound etc., so as to more quickly make countermeasure.The autonomous push of described information pushing unit 150
Information is to position is monitored, different from, it is necessary to manually constantly observe video information, there is any careless omission in the prior art
It is possible to miss the discovery of unusual condition.Therefore the monitoring system based on 3D deep visions of the present invention can
To reduce artificial demand, manual labor amount is reduced, monitoring efficiency is improved.
According to one embodiment of the invention, the street lamp in the monitoring system and road based on 3D deep visions
It is combined, combination can be, by the installation site of street lamp, the light, the power supply that provide etc..So as to institute
Extra installation site and extra light compensating apparatus need not be provided by stating monitoring system, and street lamp can be made full use of to provide
The video image for the light shooting clear given.
Described control unit 160 controls the working condition of street lamp.In one embodiment of this invention, the control
Unit 160 controls the work of street lamp according to the state of detection environment.Citing ground, when the late into the night, road is got on the bus
, personnel it is all rare when, the brightness of automatic reduction street lamp, and when darkness or light condition be not good, and on road
When vehicle is more, the automatic brightness for improving street lamp so that more rationally, fully utilize street lamp, reduce resource
Waste.
Being worth mentioning is, the monitoring system based on 3D deep visions is combined with street lamp so that have street lamp
Position just have monitoring so that monitor area coverage is wider, nothing can be accomplished between adjacent street lamp, monitoring
Seam linking, reaches the purpose that system-wide section is monitored in real time.Different from the prior art, can only in some ad-hoc locations,
Such as gateway, key road segment equipotential installs monitoring, and monitor area is narrow.
The output unit 170 exports the monitoring system and obtains depth image.More specifically, the present invention's
In one embodiment, the wherein described camera device 111 and the camera device 112 of described image shooting unit connect
The infrared light of receipts, the image of shooting exports depth image all the way after being handled through the 3D advanced treatment units 130,
And the visible ray that the camera device 111 and the camera device 112 are received is obtained generally after Treatment Analysis
Image information, the normal image and depth image of acquisition synchronize, and with the side of cromogram and depth map
Formula is exported by the output unit 170.In one embodiment, the output unit is USB3.0 output sides
Formula.
Reference picture 4, to Fig. 6, is based on 3D deep visions according to second preferred embodiment of the invention
Monitor street lamp.The monitoring street lamp 10 includes monitoring system 100 described in a light supply apparatus 11 and one.The prison
Control system 100 controls the work of the light supply apparatus 11, and the monitoring system 100 is by the light supply apparatus
11 work.
According to one embodiment of the invention, the described image shooting unit 110 of the monitoring system 100 is carried out
For two camera devices 111,112, described two camera devices 111,112 are mutually tied with the light supply apparatus 11
Close and install.Camera device 111 described in two, 112 are located at the both sides of the light supply apparatus 11 respectively, and described in two
The optical axis of camera device 111,112 is parallel.Camera device 111 described in two, 112 baseline is parallel with road surface,
So that the camera device is stablized, normal image information.Camera device 111,112 is borrowed described in two
The installation site and light of the light supply apparatus 11 are helped, also may be used without the light compensating apparatus for providing extra
To obtain clearly image, and can by the light supply apparatus 11 installation site and circuit.Namely
Say, the monitoring street lamp 10 includes a mounting bracket, and the light supply apparatus and the monitoring can be installed simultaneously
System 100.
Especially, in one embodiment of this invention, two camera device 111,112 is all chosen for RGB&
IR camera devices.Two camera device 111,112 can obtain visible optical information and infrared optical information simultaneously respectively.
Reference picture 5, is the monitoring street lamp based on 3D deep visions according to a preferred embodiment of the invention
One mounting means angle of visual field schematic diagram.In this mounting means, camera device 111 described in two, 112 it is vertical
Angle of visual field FOV (H)=60 °, horizontal field of view angle is respectively:FOV (V)=45 °, FOV (D)=75 °,
By taking the four-lane highway of standard as an example, road width is 15m, and street lamp spacing is 25m, and typical street lamp is highly
15m.In this case, a monitoring street lamp can be using the length of overlay area as 19m.
Reference picture 6, is the monitoring street lamp based on 3D deep visions according to a preferred embodiment of the invention
Another mounting means angle of visual field schematic diagram.In this mounting means, camera device 111 described in two, 112 hang down
Look at rink corner FOV (H)=60 ° straight, horizontal field of view angle is respectively:FOV (V)=56 °, FOV (D)
=94 °, by taking the four-lane highway of standard as an example, road width is 15m, and street lamp spacing is 25m, Dian Xinglu
Lamp height 15m.In this case, a monitoring street lamp can be using the length of overlay area as 25m.Thus may be used
To see, when street lamp spacing is 25m, in this mounting means, the monitoring covering of the monitoring street lamp 10
Region can cover section in the middle of whole, therefore the adjacent monitoring street lamp 10 can reach seamless connection,
Reach system-wide section monitoring.
It is noted that light source described in the Based Intelligent Control of described control unit 160 of the monitoring system 100 is filled
Put 11 working condition.The monitoring system 100 surface state that satisfies the need carries out analysis feedback, automatically adjusts described
The brightness of light supply apparatus 11, rationally using the light supply apparatus 11, reduces the waste of resource.
Reference picture 7, is the monitoring method based on 3D deep visions of the above preferred embodiment according to the present invention.
Methods described 1000.The monitoring method 1000 comprises the following steps:
(A) image information is gathered by two-way camera device;
(B) depth calculation, analysis and processing are carried out to image information;
(C) feedback analysis result.
In a specific embodiment, by camera device 111 described in two, in 112 acquisition monitoring environment
Image information, and two-way camera device obtains infrared signal and visible light signal respectively simultaneously, described image is obtained
Take unit 120 to obtain two-way image information in a wired or wireless manner, and it is sent to the 3D depth
Processing unit, the three-dimensional information of object, position in monitors environment are obtained by the 3D advanced treatment units 130
Confidence breath etc., the object identification unit 140 distinguishes the state of each object and identification object, judges whether
Existing abnormal conditions.The result for analyzing judgement is pushed and feeds back to monitoring position by the push unit 150.The control
Unit 150 processed controls road according to the information of the advanced treatment unit 130 and the object identification unit 140
The work of lamp.The output unit 170 exports analysis result.
It is noted that the depth of monitored object, three-dimensional information etc. can be obtained in this monitoring, can be with intelligence
The various situations in environment can be judged, and feedback information is to monitoring, it is achieved thereby that intelligentized identification and prison
Control, different from prior art monitor mode.
It should be understood by those skilled in the art that the embodiments of the invention shown in foregoing description and accompanying drawing are only used as
Illustrate and be not intended to limit the present invention.The purpose of the present invention completely and is effectively realized.The present invention function and
Structural principle shows and illustrated in embodiment, under without departing from the principle, embodiments of the present invention
Can there are any deformation or modification.
Claims (9)
1. a monitoring system based on 3D deep visions, it is characterised in that including:
One image acquisition unit, obtains the image information in monitors environment;
One 3D advanced treatment units, the image information to acquisition carries out depth analysis, processing;With
One object identification unit, object type is judged based on depth analysis result.
2. the monitoring system according to claim 1 based on 3D deep visions, it includes image bat
The image information taken the photograph in unit, intake monitors environment, and it is transferred to described image acquiring unit.
3. the monitoring system according to claim 2 based on 3D deep visions, wherein described image are clapped
It is two camera devices to take the photograph unit.
4. the monitoring system according to claim 1 based on 3D deep visions, it includes an information and pushed away
Unit is sent, according to the result pushed information of the object identification unit to controlling position.
5. the monitoring system according to claim 1 based on 3D deep visions, it is single that it includes a control
Member, according to the situation of monitors environment, controls the work of a street lamp.
6. the monitoring system according to claim 1 based on 3D deep visions, it is single that it includes an output
Member, the information of the 3D advanced treatment units and object identification unit is exported.
7. the monitoring system according to claim 1 based on 3D deep visions, wherein the depth
Managing unit includes a depth induction module, sensing detection Vehicle Speed.
8. a monitoring street lamp based on 3D deep visions, it is characterised in that including:
One light supply apparatus;With
One according to any described monitoring system of claim 1 to 8, and the monitoring system controls the light source dress
The work put.
9. a monitoring method based on 3D deep visions, it is characterised in that including step:
(A) image information is gathered by two-way camera device;
(B) advanced treating, analysis are carried out to image information;With
(C) feedback analysis result.
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