CN109147326A - A kind of Campus transport safety warning system - Google Patents
A kind of Campus transport safety warning system Download PDFInfo
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- CN109147326A CN109147326A CN201811035024.5A CN201811035024A CN109147326A CN 109147326 A CN109147326 A CN 109147326A CN 201811035024 A CN201811035024 A CN 201811035024A CN 109147326 A CN109147326 A CN 109147326A
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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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
- G06V20/38—Outdoor scenes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
- G08B21/0225—Monitoring making use of different thresholds, e.g. for different alarm levels
-
- 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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
-
- 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
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
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- Engineering & Computer Science (AREA)
- Analytical Chemistry (AREA)
- Multimedia (AREA)
- Chemical & Material Sciences (AREA)
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- Signal Processing (AREA)
- Child & Adolescent Psychology (AREA)
- General Health & Medical Sciences (AREA)
- Business, Economics & Management (AREA)
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- Health & Medical Sciences (AREA)
- Traffic Control Systems (AREA)
Abstract
The present invention provides a kind of Campus transport safety warning system, camera and LED display are divided on the road of fork in the road different directions, by LED display by road where camera come vehicle and pedestrian information, it is supplied to be blocked by building or greenbelt and comes vehicle or pedestrian on another direction road of the fork in the road of sight, vehicle or the warning function of pedestrian on another direction are provided to the vehicle and pedestrian on fork in the road to reach, the peak period of flow of the people in campus is coped with well, to primary school, middle school, there is fabulous applicability in campus, greatly improve the safety of traffic environment in campus.
Description
Technical field
The invention belongs to computer visions and monitoring safety-security area more particularly to a kind of Campus transport safety warning system.
Background technique
Universalness and privatization with automobile, at present in majority cities, private car becomes a kind of main friendship
Pass-out line mode, also brings corresponding Exploration on Train Operation Safety, and the appearance of especially clergy's private car causes to occur in campus
A large amount of Exploration on Train Operation Safety.Exploration on Train Operation Safety mainly passes through system management, reinforcement safety education etc. in campus at present
Method is taken precautions against.
However in daily life, campus due to vehicle flowrate it is smaller compared with practical municipal traffic, in campus
Interior installation traffic lights not only inefficiency but also do not have practicability, and the campus crossing Nei Ge is often by building or greenbelt
Sight is blocked, so that pedestrian and vehicle, which can't see, carrys out vehicle on the adjacent direction in fork in the road.Driving in another aspect campus
Speed again often not in the speed of restriction hereinafter, especially take out and the introducing of express delivery, cause campus driving with it is safe in the school
Contradiction upgrades once again.In addition, although campus is smaller, management is stringent, and running speed is compared to big in junior-senior high school and primary school campus
School garden comes slowly, but since the safety thought of student at school is immature, easily there is a phenomenon where chasing to quarrel and fight noisily on road, at this
In the case of kind, system management and safety education seem especially out of strength.
Summary of the invention
To solve the above problems, the present invention provides a kind of Campus transport safety warning system, it can be to the vehicle on fork in the road
And pedestrian the warning of vehicle or pedestrian on another direction are provided, greatly improve the safety of traffic environment in campus.
A kind of Campus transport safety warning system, including camera, vision processing module, prediction module, middle control module with
And LED display；Wherein, camera is mounted on any one road that fork in the road is connected, and the LED display is mounted on
With road where camera on adjacent road；
The image sequence of road vehicle and/or pedestrian where the camera is used to acquire；
The vision processing module is used to use convolutional neural networks method, and the vehicle of each subgraph is extracted from described image sequence
And/or pedestrian as target to be detected；
The prediction module obtains each for the displacement according to each target to be detected between subgraph adjacent in image sequence
Speed, the direction of motion and each target to be detected of target to be detected are at a distance from fork in the road；
The middle control module is for rejecting to be detected target of the direction of motion far from fork in the road, then according to remaining to be detected
The speed of target, remaining target to be detected obtain the time that remaining target to be detected reaches fork in the road at a distance from fork in the road, and
Using the corresponding target to be detected of the minimum value of the time as target to be warned；
The LED display issues warning information when warning target for detecting in middle control module.
Further, the vision processing module is used to use convolutional neural networks method, extracts from described image sequence
Before the vehicle of each subgraph and/or pedestrian are as object to be measured, it is also used to the method using gradient field, is extracted in described image sequence
Then brightness, color and the texture information of each subgraph adjust the bright of shadow region to identify the shadow region in each subgraph
Degree, color and texture information make the bright of brightness, color and the texture information of shadow region and the non-hatched area of its neighborhood
The correspondence difference of degree, color and texture information obtains the image sequence of removal shadow region, in turn in preset threshold range
The vehicle for extracting each subgraph from the image sequence of removal shadow region and/or pedestrian are as object to be measured.
Further, the warning information is the light on and off state of LED display, wherein if middle control module is detected wait warn
Show target, then middle control module control LED display is bright, middle to control module control if middle control module does not detect target to be warned
LED display processed goes out.
Further, if the middle control module detects target to be warned, middle control module control LED display is bright, tool
Body includes:
The middle control module reaches the length of the time of fork in the road according to the target to be warned, by the tight of target to be warned
Anxious degree is divided into three-level, wherein when warning target to reach the time of fork in the road less than the first given threshold, target to be warned
Urgency level is level-one, then middle control module control LED display is shown in red, when target to be warned reaches the time of fork in the road
When not less than the first given threshold less than the second given threshold, destination emergency degree to be warned is second level, then middle to control module control
LED display processed is shown as orange, when warning target to reach the time of fork in the road not less than the second given threshold, wait warn
Destination emergency degree is three-level, then middle control module control LED display is shown as yellow.
Further, the warning information is text information, wherein if middle control module detects target to be warned, in
Control module control LED display shows that target to be warned is vehicle or pedestrian, and shows that target to be warned reaches fork in the road
Countdown.
Further, middle control module is arm processor, single-chip microcontroller or digital signal processor.
Further, vision processing module is arm processor, single-chip microcontroller or digital signal processor.
Further, middle control module is communicated with LED display by cable, wireless network or bluetooth.
The utility model has the advantages that
The present invention provides a kind of Campus transport safety warning system, and it is different that camera from LED display is divided in fork in the road
On the road in direction, by LED display will on road where camera come vehicle and pedestrian information, be supplied to by building or
Greenbelt, which blocks, comes vehicle or pedestrian on another direction road of the fork in the road of sight, to reach to the vehicle on fork in the road
Vehicle or the warning function of pedestrian on another direction are provided with pedestrian, copes with the peak period of flow of the people in campus well,
There is fabulous applicability to primary school, middle school, campus, greatly improves the safety of traffic environment in campus.
Detailed description of the invention
Fig. 1 is a kind of system block diagram of Campus transport safety warning system provided by the invention.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described.
Referring to Fig. 1, which is a kind of system block diagram of Campus transport safety warning system provided by the embodiments of the present application.One
Kind Campus transport safety warning system, including camera, vision processing module, prediction module, middle control module and LED are shown
Screen；Wherein, camera is mounted on any one road that fork in the road is connected, and the LED display is mounted on and camera
On the adjacent road of place road.
The image sequence of road vehicle and/or pedestrian where the camera is used to acquire.
The vision processing module is used to use convolutional neural networks method, and the vehicle of each subgraph is extracted from described image sequence
And/or pedestrian as target to be detected.
It should be noted that camera is to road vehicle when vehicle and/or pedestrian are apart from 15~20m of fork in the road
And/or pedestrian have preferable collection effect, enable vision processing module extracted from image sequence each subgraph vehicle and/
Or pedestrian is as object to be measured.
It should be noted that vision processing module is used to use convolutional neural networks method, extracted from described image sequence
Before the vehicle of each subgraph and/or pedestrian are as object to be measured, according to the image sequence sample obtained in advance, establish vehicle with
Pedestrian target feature set carries out classification based training to vehicle and pedestrian using convolutional neural networks method, and having obtained can be from image sequence
It arranges and extracts the neural network model of vehicle and/or pedestrian as object to be measured in each subgraph.
Optionally, in order to improve the vehicle for extracting each subgraph from described image sequence and/or pedestrian as object to be measured
Accuracy, can before extraction, remove image sequence in each subgraph shadow region.It is given below in removal image sequence
A kind of implementation of shadow region.
The method that the vision processing module uses gradient field extracts the brightness of each subgraph, color in described image sequence
And then texture information adjusts brightness, color and the texture letter of shadow region to identify the shadow region in each subgraph
Breath makes brightness, color and the texture letter of brightness, color and the texture information of shadow region and the non-hatched area of its neighborhood
The correspondence difference of breath obtains the image sequence of removal shadow region in preset threshold range, and then from removal shadow region
The vehicle that each subgraph is extracted in image sequence and/or pedestrian are as object to be measured.
The prediction module be used for according to each target to be detected removal shadow region image sequence in adjacent subgraph it
Between displacement, obtain speed, the direction of motion and each target to be detected of each target to be detected at a distance from fork in the road.
It should be noted that due to the time interval between subgraph adjacent in image sequence be it is fixed, then obtain respectively to
Detect displacement of the target between adjacent subgraph, it will be able to obtain the speed of each target to be detected.Further, it is calculating arbitrarily
It when the displacement of one target to be detected, can choose one of characteristic point of the target to be detected, and this feature point is existed
It is displaced between multipair adjacent subgraph, i.e., the average value of the pixel number moved in two frame subgraphs, as calculating, this is to be detected
The final mean annual increment movement used when the speed of target.
The middle control module is for rejecting to be detected target of the direction of motion far from fork in the road, then according to remaining to be detected
The speed of target, remaining target to be detected obtain the time that remaining target to be detected reaches fork in the road at a distance from fork in the road, and
Using the corresponding target to be detected of the minimum value of the time as target to be warned.
It should be noted that the case where direction of motion is far from fork in the road, including vehicle turns around before fork in the road, pedestrian does not walk
To fork in the road but cross the case where road where camera or pedestrian are toward far from the walking of fork in the road direction etc..
The LED display issues warning information when warning target for detecting in middle control module.
In order to further clarify dangerous and urgent degree, can by control LED display show different color or
Text information prompts vehicle and/or pedestrian on fork in the road, in adjacent direction, i.e., on the road of camera installation come vehicle and
Pedestrian's situation.
Optionally, the warning information is the light on and off state of LED display, wherein if middle control module is detected wait warn
Target, then middle control module control LED display is bright, if middle control module does not detect target to be warned, middle control module is controlled
LED display goes out.
Further, the middle control module reaches the length of the time of fork in the road according to the target to be warned, will be wait warn
Show that the urgency level of target is divided into three-level, wherein when warning target to reach the time of fork in the road less than the first given threshold,
Destination emergency degree to be warned is level-one, then middle control module control LED display is shown in red, is branched off when target to be warned reaches
The time at crossing, destination emergency degree to be warned was second level, then not less than the first given threshold and when less than the second given threshold
Middle control module control LED display is shown as orange, when target to be warned reaches the time of fork in the road not less than the second setting threshold
When value, destination emergency degree to be warned is three-level, then middle control module control LED display is shown as yellow.
Optionally, the warning information is text information, wherein if middle control module detects target to be warned, middle control
Module control LED display shows that target to be warned is vehicle or pedestrian, and shows that target to be warned reaches falling for fork in the road
Timing.
Optionally, middle control module is communicated with LED display by cable, wireless network or bluetooth.
Optionally, for being not specifically limited in vision processing module, prediction module and middle control module the present embodiment,
Concrete type can be ARM (Advanced RISC Machines, reduced instruction set chip) processor, single-chip microcontroller or DSP
(Digital Signal Processing, digital signal processor) etc..
It should be noted that vision processing module, prediction module and middle control module can exist with camera integrated installation
It together, can also be together with LED display integrated installation.
The present embodiment provides a kind of Campus transport safety warning systems, and camera is installed on to each crossing in campus, will
Vision processing module is used to extract the license plate number of vehicle, and middle control module is marked and stores to the license plate number recognized,
To obtain the motion profile that vehicle travels in campus.When the safety warning system detects abnormal track, feed back to
School's monitoring room or Security Department are differentiated its risk by natural person, made a response in advance, are prevented personnel outside school and are come outside school
Vehicle generates threat to safety in the school.
Certainly, the invention may also have other embodiments, without deviating from the spirit and substance of the present invention, ripe
Various corresponding changes and modifications can be made according to the present invention certainly by knowing those skilled in the art, but these it is corresponding change and
Deformation all should fall within the scope of protection of the appended claims of the present invention.
Claims (8)
1. a kind of Campus transport safety warning system, which is characterized in that including camera, vision processing module, prediction module, in
Control module and LED display；Wherein, camera is mounted on any one road that fork in the road is connected, and the LED is shown
Screen is mounted on the road adjacent with road where camera；
The image sequence of road vehicle and/or pedestrian where the camera is used to acquire；
The vision processing module is used to use convolutional neural networks method, and the vehicle of each subgraph is extracted from described image sequence
And/or pedestrian is as target to be detected；
The prediction module obtains each to be checked for the displacement according to each target to be detected between subgraph adjacent in image sequence
Speed, the direction of motion and each target to be detected of target are surveyed at a distance from fork in the road；
The middle control module is for rejecting to be detected target of the direction of motion far from fork in the road, then according to remaining target to be detected
Speed, remaining target to be detected obtain the time that remaining target to be detected reaches fork in the road at a distance from fork in the road, and by institute
The corresponding target to be detected of minimum value of time is stated as target to be warned；
The LED display issues warning information when warning target for detecting in middle control module.
2. a kind of Campus transport safety warning system as described in claim 1, which is characterized in that the vision processing module is used
In use convolutional neural networks method, from the vehicle and/or pedestrian that each subgraph is extracted in described image sequence as object to be measured before,
It is also used to the method using gradient field, brightness, color and the texture information of each subgraph in described image sequence are extracted, to know
Then shadow region in not each subgraph adjusts brightness, color and the texture information of shadow region, makes the bright of shadow region
Degree, color and texture information are with the corresponding difference of the brightness of the non-hatched area of its neighborhood, color and texture information pre-
If in threshold range, obtaining the image sequence of removal shadow region, and then extract respectively from the image sequence of removal shadow region
The vehicle of subgraph and/or pedestrian are as object to be measured.
3. a kind of Campus transport safety warning system as described in claim 1, which is characterized in that the warning information is LED
The light on and off state of display screen, wherein if middle control module detects target to be warned, middle control module control LED display is bright, if
Middle control module does not detect target to be warned, then middle control module control LED display goes out.
4. a kind of Campus transport safety warning system as claimed in claim 3, which is characterized in that if the middle control module detection
To target to be warned, then middle control module control LED display is bright, specifically includes:
The middle control module reaches the length of the time of fork in the road according to the target to be warned, by the urgent journey of target to be warned
Degree is divided into three-level, wherein when warning target to reach the time of fork in the road less than the first given threshold, destination emergency to be warned
Degree is level-one, then middle control module control LED display is shown in red, not small when the time that target to be warned reaches fork in the road
In the first given threshold when less than the second given threshold, destination emergency degree to be warned is second level, then in control module control LED
Display screen is shown as orange, when warning target to reach the time of fork in the road not less than the second given threshold, target to be warned
Urgency level is three-level, then middle control module control LED display is shown as yellow.
5. a kind of Campus transport safety warning system as described in claim 1, which is characterized in that the warning information is text
Information, wherein if middle control module detects target to be warned, middle control module control LED display shows that target to be warned is
Vehicle or pedestrian, and show that target to be warned reaches the countdown of fork in the road.
6. a kind of Campus transport safety warning system as described in claim 1, which is characterized in that middle control module is ARM processing
Device, single-chip microcontroller or digital signal processor.
7. a kind of Campus transport safety warning system as described in claim 1, which is characterized in that vision processing module ARM
Processor, single-chip microcontroller or digital signal processor.
8. a kind of Campus transport safety warning system as described in claim 1, which is characterized in that middle control module and LED are shown
Screen is communicated by cable, wireless network or bluetooth.
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| CN201811035024.5A CN109147326A (en) | 2018-09-06 | 2018-09-06 | A kind of Campus transport safety warning system |
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| CN201811035024.5A CN109147326A (en) | 2018-09-06 | 2018-09-06 | A kind of Campus transport safety warning system |
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Application publication date: 20190104 |