CN103299344B - Monitoring system and occupation proportion detection method - Google Patents
Monitoring system and occupation proportion detection method Download PDFInfo
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- CN103299344B CN103299344B CN201180064412.6A CN201180064412A CN103299344B CN 103299344 B CN103299344 B CN 103299344B CN 201180064412 A CN201180064412 A CN 201180064412A CN 103299344 B CN103299344 B CN 103299344B
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- 238000001514 detection method Methods 0.000 title claims abstract description 91
- 238000012544 monitoring process Methods 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 claims description 40
- 238000002372 labelling Methods 0.000 claims description 35
- 230000008569 process Effects 0.000 claims description 17
- 238000007689 inspection Methods 0.000 claims 1
- 230000005540 biological transmission Effects 0.000 description 15
- 238000000205 computational method Methods 0.000 description 10
- 238000004364 calculation method Methods 0.000 description 5
- 230000008859 change Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000010295 mobile communication Methods 0.000 description 5
- 238000003860 storage Methods 0.000 description 4
- 238000001931 thermography Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 239000003550 marker Substances 0.000 description 3
- 241000239290 Araneae Species 0.000 description 2
- 230000009471 action Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000005096 rolling process Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 241000406668 Loxodonta cyclotis Species 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
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- 238000012937 correction Methods 0.000 description 1
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- 238000005516 engineering process Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L15/00—Indicators provided on the vehicle or train for signalling purposes
- B61L15/0018—Communication with or on the vehicle or train
- B61L15/0036—Conductor-based, e.g. using CAN-Bus, train-line or optical fibres
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/97—Determining parameters from multiple pictures
-
- 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
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20021—Dividing image into blocks, subimages or windows
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30268—Vehicle interior
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Closed-Circuit Television Systems (AREA)
- Image Analysis (AREA)
- Traffic Control Systems (AREA)
Abstract
The problem of the present invention is: effectively monitor by monitoring system in the car of train etc..Solution is: in monitoring system, predetermined region (in vehicle A1) is shot by image unit (11～16), occupation proportion detector unit, based on the result shot by image unit, the ratio taken by pre-earnest (such as people etc.) in detection presumptive area.As an example, occupation proportion detector unit, based on the result shot by image unit, the area taken by pre-earnest in detection presumptive area, detect the area that detects in the predetermined region ratio relative to reference area, the ratio taken as the pre-earnest in presumptive area.
Description
Technical field
The present invention relates to monitoring system, particularly relate to effectively to monitor the interior monitoring system waited of car of train.
Background technology
In recent years, in the public transport operators such as the bus with train as representative, taxi within the interior or exterior of the vehicle, fortune
By the monitoring system being made up of surveillance camera etc., in order to prevent crime in car, molestation etc. in advance, general monitor or note
Situation in record (storage) car.
Such as by introducing monitoring system in train, it is possible to carried out the real-time supervision in train by surveillance camera,
And can be using the situation in train as photologging or storage.
But, in this monitoring system, as the information that the image to storage is additional, it is limited to date, moment, around
Sound etc., it is believed that information required when such as there is certain accident, useful when the image analysing computer preventing the purposes such as crime
Information etc. not by abundant record.
Prior art literature
Patent documentation
Patent documentation 1: JP 2010-028754 publication
Summary of the invention
The problem that invention is to be solved
In the existing monitoring systems such as above-mentioned monitoring system, it is desirable to further develop.
Propose the present invention in view of this existing situation, its object is to provide a kind of car that can effectively monitor train
The monitoring system of interior grade.
For solving the means of problem
In order to reach above-mentioned purpose, in the monitoring system of the present invention and occupation proportion detection method, constitute as follows.
That is, the region that image unit shooting is predetermined.Occupation proportion detector unit, according to shoot by described image unit
As a result, the ratio that in described presumptive area, pre-earnest takies is detected.
As a structure example (the 1st structure example), in the monitoring system and occupation proportion detection method of the present invention, become
For following structure.
That is, described occupation proportion detector unit, according to the result shot by described image unit, detects described fate
The area taken by described pre-earnest in territory, detects the area detected described in described predetermined region relative to reference area
The ratio that takies as pre-earnest described in described presumptive area of ratio.
As a structure example (the 2nd structure example), in the monitoring system and occupation proportion detection method of the present invention, become
For following structure.
That is, described presumptive area sets multiple detection region.
Further, described occupation proportion detector unit, according to the result shot by described image unit, detects described predetermined
The quantity in the detection region taken by described pre-earnest in region, the quantity in the detection region detected described in detection relative to
The ratio of the quantity in the multiple detection regions set in described presumptive area, as pre-earnest described in described presumptive area
The ratio taken.
As a structure example (the 3rd structure example), in the monitoring system and occupation proportion detection method of the present invention, become
For following structure.
That is, described presumptive area is charged to multiple labelling.
Further, described occupation proportion detector unit, according to the result shot by described image unit, detects described predetermined
The quantity of the labelling taken by described pre-earnest in region and do not photograph, the quantity of the labelling detected described in detection relative to
The ratio of the quantity of the multiple labellings charged in described presumptive area, takies as pre-earnest described in described presumptive area
Ratio.
The effect of invention
As it has been described above, according to the monitoring system of the present invention and occupation proportion detection method, can effectively monitor train
Car in etc..
Accompanying drawing explanation
Fig. 1 is the figure of the structure example of the intra-vehicle system of the monitoring system representing one embodiment of the present of invention.
Fig. 2 be the monitoring system representing one embodiment of the present of invention platform in the figure of structure example of system.
Fig. 3 is the figure of other structure example representing intra-vehicle system.
Fig. 4 (a) and (b) are the figures arranging example representing the surveillance camera in vehicle.
Fig. 5 is the flow chart of the example representing the process step calculating riding rate.
Fig. 6 is the example of the image that the common video camera as the top by being arranged on vehicle photographs from top,
Represent nobody ride in the case of the figure of example of image.
Fig. 7 is the example of the image that the common video camera as the top by being arranged on vehicle photographs from top,
Represent people ride in the case of the figure of example of image.
Fig. 8 is the example of the image that the thermal imaging camera as the top by being arranged on vehicle photographs from top,
Represent people ride in the case of the figure of example of image.
Fig. 9 is the mode about display detection region, as the surveillance camera on the top by being arranged on vehicle from upper
The example of the image that portion photographs, represent nobody ride in the case of the figure of example of image.
Figure 10 is the mode about display detection region, as the surveillance camera on the top by being arranged on vehicle from upper
The example of the image that portion photographs, represent people ride in the case of the figure of example of image.
Figure 11 is about the mode being configured with specific pattern labelling in vehicle, as by from the top being arranged on vehicle
The surveillance camera example of image that photographs from top, represent nobody ride in the case of the example of image
Figure.
Figure 12 is about the mode being configured with specific pattern labelling in vehicle, as by from the top being arranged on vehicle
The example of image that photographs from top of surveillance camera, represent people ride in the case of the figure of example of image.
Figure 13 (a) and (b) are the figures arranging example representing the surveillance camera in vehicle.
Figure 14 is the figure of the display example representing riding rate.
Figure 15 is to represent the figure of an example of the information of display on the picture of the display device of driver's cabin.
Detailed description of the invention
It is described with reference to embodiments of the invention.
Illustrate the situation that the monitoring system of one embodiment of the present of invention is applied to train in this example.
Illustrate the structure example of the intra-vehicle system of the monitoring system of one embodiment of the present of invention in FIG.
Illustrate the example being made up of train 4 vehicle A1～A4 in this example.As the numbering of each vehicle A1～A4, if
Determine 1～4.
In the first vehicle A1, it is provided with door 1,2 in both sides.
It addition, in the car of the first vehicle A1, possess multiple (being 6 in this example) surveillance camera 11～16, network is opened
Close (network SW) 21, recording equipment 22, display device 23, managing device 24, transmitting device 25, transmission antenna 26.
Here, each surveillance camera 11～16, recording equipment 22, display device 23 and managing device 24 are with network SW21 even
Connect.It addition, managing device 24 is connected with transmitting device 25, transmitting device 25 is connected with transmission antenna 26.
Such as, via wired or wireless circuit or directly it is attached.
In each vehicle of the second vehicle A2～the 4th vehicle A4, except managing device 24, transmitting device 25 and transmission
Beyond antenna 26, it is also equipped with the door 1,2 as the first vehicle A1 and equipment 11～16,21～23.Additionally, for the second vehicle
Structural portion in the car of A2～the 4th vehicle A4, eliminates reference marks in FIG.
It addition, the network SW of Adjacent vehicles is connected, specifically, the network SW21 and the second vehicle A2 of the first vehicle A1
Network SW connect, the network SW of the network SW and the 3rd vehicle A3 of the second vehicle A2 connects, the network SW of the 3rd vehicle A3 and
The network SW of the 4th vehicle A4 connects.
In car, arrange the surveillance camera of suitable position or quantity according to behaviour in service etc. carry out imaging (photography).
Quantity is set as surveillance camera, in every 1 vehicle, is provided with 6 in this example, but as other structure examples, permissible
More or less.The most do not limit setting quantity about other equipment, various quantity can be set.
In the monitoring system of this example, in station or on each platform, it is also provided with equipment.
The structure example of system in the station of the monitoring system illustrating one embodiment of the present of invention in fig. 2.
In fig. 2 illustrate station in 31, platform 32(therein only illustrate expression 1), caretaker room 33.
In station, 31(is the region in addition to platform 32 and caretaker room 33 at this) possess multiple (being 2 in this example) net
Network SW41,46, at each network SW41, connect on 46 and be equipped with equipment.Specifically, for network SW41, connect and be equipped with 3 prisons
Depending on video camera 42～44 and 1 display devices 45.It addition, for network SW46, connect and be equipped with 2 surveillance cameras 47,48 and 1
Individual display device 49.
It addition, multiple network SW41,46 can connect communicatedly mutually.
Platform 32 is equipped with network SW51, is connected with network SW51 and to be equipped with 3 surveillance cameras 52～54 and 1 aobvious
Showing device 55.
In caretaker room 33, it is sequentially connected with outfit managing device 61, recording equipment 62, transmitting device 63, transmission antenna 64,
The network 65 having managing device 61 is connected it addition, be equipped with.
Here, 1 network SW46 of 31 is connected with the network SW51 of platform 32, the managing device 61 of caretaker room 33 in station.
Such as via wired or wireless circuit or directly it is attached.
Such as it is present in personal computer (PC) 71, mobile communication terminal 72 or the numeral mark in the outside (standing outer) at station interior 31
Board 73 grade is communicatively couplable on the network 65 of caretaker room 33 by wired or wireless circuit.
Additionally, the structure shown in Fig. 2 is also as the structure shown in Fig. 1, do not limit setting quantity for each equipment, permissible
Various quantity is set.
In this example, the quantity of the vehicle constituting train can be arbitrary, and such as vehicle can be odd number, or also may be used
To be the marshalling of plural number.
Illustrate other structure example of intra-vehicle system in figure 3.
In this example, on the vehicle as vehicle A1～A4 of 4 shown in Fig. 1, connection is equipped with same with it further
4 vehicle A5～A8 of sample.As this connection, via circuit 81 by the network SW of the 4th vehicle A4 and the network of the 5th vehicle A5
SW connects.
So, as vehicle marshalling, between network SW, each vehicle is connected, can communicate via network SW, construct a net
Network, thus can easily increase and decrease vehicle.
The example of the action in expression system shown in Fig. 1 or Fig. 2.
For Cu Lve, in intra-vehicle system, in each vehicle A1～A4, each surveillance camera 11～16 filmed image
(image), recording equipment 22 recording image etc., display device 23 show image etc., managing device 24 manages image etc., transmission dress
Put 25, via transmission antenna 26, image etc. is carried out wireless transmission or wireless receiving.
It addition, for Cu Lve, in station in system, each surveillance camera 42～44,47～48,52～54 filmed image,
Display device 45,49,55 show images etc., managing device 61 manages image etc., recording equipment 62 recording image etc., transmitting device
63 carry out wireless receiving or wireless transmission, PC71, mobile communication terminal 72 or digital signage via transmitting antenna 64 to image etc.
73 show images such as grade.
The object lesson of expression action.
The image in each surveillance camera region to becoming object set in advance shoots.Clap with each surveillance camera
The data record of the image taken the photograph is in the body interior of this video camera or by recording equipment suitably record.Additionally, image number
According to being compressed by any means, process or correction etc..
The each data recorded are transferred to outside by suitable transmitting device, transmission antenna etc..Here in transmission,
Such as can utilize the communication system constructed, or other communication means can be used, as an example, can be by having
The WLAN (LAN: Local Area Network) etc. of high-transmission ability is transmitted.
Each data of transmission in car, vehicle parking AT STATION time or be transferred to be arranged in station during by station
Recording equipment (such as archives storage type recording equipment) in caretaker room etc..The each data being recorded, in order to outside
After being openly suitably processed, it is connected with the network between external network or station.
Additionally, not optical image, the operation information of existing vehicle etc. is recorded or transmission etc. too.
Here, in the monitoring system of this example, be the use of the example of overall network equipment, but be not necessarily required to all
The network equipment carries out system and arranging, such as in the case of surveillance camera is not the network equipment, in order to vehicle network even
Connect, via can be that numeral carries out net from analog converting by signal of video signal (by the signal of the image that surveillance camera shoots)
The encoder device of network distribution carries out system and arranging, thus, it is possible to realize the system being equal to the monitoring system of this example.
Hereinafter, the detection of riding rate (representing the value of crowded situation) is described in detail.
Illustrate the surveillance camera in vehicle in Fig. 4 (a) and (b) arranges example.
Fig. 4 (a) represents the situation in vehicle seen from above, Fig. 4 (b) represents the feelings in side viewing vehicle
Shape.Specifically, illustrate the door 101,102 of the both sides of vehicle and seat 103,104, arrange on the ceiling of vehicle 4
Surveillance camera 111～114.In this example, 4 surveillance cameras 111～114 equally spaced configure, be respectively arranged to from
Immediately below the shooting of top.
So, surveillance camera is arranged on the suitable positions such as vehicle upper, it addition, generally monitor shooting by 1
Machine monitors that the overall situation of vehicle is difficult in reality, therefore arranges multiple surveillance camera and shares region to be monitored.
Additionally, as 4 shown in Fig. 4 (a) and (b) surveillance camera 111～114, such as can use shown in Fig. 1
4 surveillance cameras 11～14 etc. in one vehicle.
In this example, based on the image data shot by surveillance camera 111～114 or in recording equipment record
Image data, carries out the detection of riding rate.
Specifically, based on the image data shot by surveillance camera 111～114 or in recording equipment record
Image data, the people existed in detection vehicle, according to detecting that this people takies the great ratio of vehicle and judges riding rate.?
The surveillance camera 111～114 being provided with multiple stage in this example shares monitor area, therefore, finally collects whole surveillance camera
The result of 111～114.Hereafter, the result obtained is shown the station of the monitor (display device 23) in vehicle, platform 32 etc.
In the display devices 45,49,55 such as the BBS of interior 31 or digital signage.Alternatively, it is also possible to transmit data to PC71 or
Such terminal connected via external network (network 65) such as the terminals such as portable phone (mobile communication terminal 72) is to make it show.
Fig. 5 represents an example of the process step calculating riding rate.
In this example, by the managing device of 31 in the station shown in the managing device 24 or Fig. 2 in the vehicle A1 shown in Fig. 1
61 or arbitrarily other device calculate riding rate, it addition, about each surveillance camera 11 in vehicle A1～A4 shown in Fig. 1～
Each information of 16, it is possible to by this each surveillance camera 11～16 or arbitrarily other device calculate.
Illustrate with reference to Fig. 4 (a) and (b) and Fig. 5.
First, when the operation of train starts (step S1), remove riding rate (initialization) (step S2).
Substantially, the change of the riding rate of vehicle is Tong Bu with the opening and closing of door 101,102, therefore, by the unlatching of door 101,102
(open) as triggering (step S3), the preparation (people detects preparation) (step S4) of riding rate calculating is carried out.Then, when door 101,
During 102 unlatching, people moves, therefore, till door 101,102 is closed by the time.
Using the closedown (close) of door 101,102 as triggering (step S5), perform riding rate and calculate (people's detection) (step
S6).Then, according to the image data detection people of each surveillance camera 111～114 shooting, calculate and obtain the vehicle that this people takies
The ratio (occupancy of image data based on each surveillance camera 111～114) (step S7) of interior area, by entering it
Row adds up to (such as according to the occupancy of image datas based on multiple surveillance cameras 111～114, to be obtained in a vehicle
All occupancies), calculate the riding rate (step S8) of each vehicle.
Hereafter, the data (step S9) of the result (riding rate) that transmission calculates, shown and (such as schemed in display device
Display device 23 etc. shown in 1) upper (step S10).
In the case of the operation of train is unclosed (step S11), shift in the way of returning the process of step S3.
Here, in this example the opening and closing of door 101,102 is calculated (here, step S3 shown in Fig. 5～step as riding rate
The process of rapid S11) triggering, but, as other structure example, it is also possible to the opening and closing with door is unrelated, such as by time regularly
Between be spaced, the triggering of external signal or manual operation etc. carries out the calculating of riding rate.
Then, with reference to the computational methods of the explanation riding rates such as Fig. 4 (a) and (b).
Method as concrete calculating riding rate, it is possible to use various methods, represents in this example and detects based on thermal source
The computational methods of riding rate, the computational methods, based on specific pattern marker detection of riding rate that compare based on benchmark image
The computational methods of riding rate.
The computational methods of the riding rate that (examples 1 of the computational methods of riding rate) detect based on thermal source are described.
The taking the photograph of infrared ray etc. of the biology of thermal source (such as human or animal) or object will be become as employing to detect
The such as thermal imaging camera of camera is set to surveillance camera 111～114.
In image data, represent high-temperature part by redness, represent low temperature part by blueness.Additionally, be high temperature or low
Temperature, such as can according to temperature whether more than predetermined threshold value (or whether exceeding predetermined threshold value) determine.
It is low temperature state without exception under the state of riding rate (0%) 0 percent, i.e. the image entirety of certain monitor area is used
Substantially blue display, now, in the case of people rides, the part redness of this people represents.Thus, it is possible to detect by bus
People.
And, it is contemplated that taken the area of the part using red display by people, it is ensured that (calculating) its occupancy.Will be to being divided
The occupancy of each monitor area of each surveillance camera 111～114 that dispensing is arranged in vehicle carries out remittance the long and and sets
Riding rate for this vehicle.
The example of the image that Fig. 6 photographs from top as the common video camera on the top by being arranged on vehicle, table
Show nobody ride in the case of the example of image.
The example of the image that Fig. 7 photographs from top as the common video camera on the top by being arranged on vehicle, table
Shown the monitor area for the image shown in Fig. 6, people B1～B6 ride in the case of the example of image.
Fig. 8 as the top by being arranged on vehicle thermal imaging camera (surveillance camera 111～114 of this example) from
The example of the image that top photographs, illustrates the monitor area for the image shown in Fig. 6, and people B1～B6 shown in Fig. 7 takes advantage of
The example of the image in the case of car.
In the image example of the thermal imaging camera shown in Fig. 8, detect and corresponding for each one B1～the B6 portion shown in Fig. 7
Divide (detecting the part of people) C1～C6, and use red display.Further, in this example, part C1 of people～the face of C6 are detected
Amass the area of account in monitor area entirety area about 20%, it is judged that for the occupancy in the monitor area of this surveillance camera about
It is 20%.
Illustrate that (examples 2 of the computational methods of riding rate) are by using the benchmark image of general surveillance camera relatively to lead
The method going out riding rate.
First, it is ensured in advance that (shoot or record) riding rate is that the image of the monitor area of the state of 0% is as benchmark image
(template image).Then, by the surveillance zone by this benchmark image with the state by bus of shooting comparison other (such as present situation etc.)
The image in territory compares, and obtains the ratio (occupancy) of the area that people etc. takies, this ratio is set to riding rate.
In Fig. 9, about display detection region mode, as by be arranged on vehicle upper surveillance camera 111～
114(is in this example for usual video camera) example of image that photographs from top, illustrate nobody situation by bus
Under the example of image.
In this example, benchmark image is divided into the region of multiple rectangle, this detection region is set to the unit of detection.So
After, the benchmark image in detection region is compared, when them with the image data obtained from surveillance camera 111～114
Difference (difference of such as luminance level etc.) bigger than predetermined threshold value (or more than predetermined threshold value) time, it is judged that for this detection
Region is occupied.
Here, be set to the threshold value for being judged as occupied difference, such as, it is set in advance, can at any time become
Structure more.Alternatively, it is also possible to set the threshold values such as luminance level for each detection region.It addition, as each detection region
Luminance levels etc., such as, can use the meansigma methods in each detection region or represent the value etc. of position.
In Figure 10, about the mode in display detection region, as the surveillance camera 111 on the top by being arranged on vehicle
～114(is in this example for usual video camera) example of image that photographs from top, for the surveillance zone of the image shown in Fig. 9
Territory, illustrates the example of image in the case of people B1～B6 rides.
Figure 10 illustrates the detection region that the differential ratio predetermined threshold detected is big.
As an example, it is assumed that be configured with the detection region of image based on certain surveillance camera 170 positions.Entering
The detection of pedestrian etc., image and the benchmark image result of the comparison that will photograph, it is judged that be to clap in the detection region of 33 positions
In the case of the predetermined threshold value of the differential ratio of the image taken the photograph and benchmark image is big, it is judged that the monitor area of this surveillance camera
In occupancy be about 20%.
Here, in this example, size or the place in detection region can be changed by user etc..Such as by by Fig. 9 or figure
The detection region of the size shown in 10 is set to reduce (for example, about 1/2 etc.) than this size, obtains finer occupancy.
The computational methods of (examples 3 of the computational methods of riding rate) riding rate based on specific pattern marker detection are described.
In Figure 11, about being configured with the mode of specific pattern labelling (in this example for spider lable) in vehicle, as
By being arranged on the surveillance camera 111～114(on the top of vehicle in this example for common video camera) photograph from top
The example of image, illustrate the example of image in the case of nobody is ridden.
In this example, identify the part of the area occupied into people etc. for the ground of vehicle or seat etc. like that, tool is set
There is the labelling of certain specific pattern.
In this example, with suitable interval, in the way of there is systematicness, configure this mark with formed objects, equidirectional
Note.In this example, as shown in figure 11, the configuration mode making labelling on bottom surface with seat 103,104 is different.
About being configured with the mode of specific pattern labelling (in this example for spider lable) in vehicle in Figure 12, as logical
Cross the surveillance camera 111～114(on the top being arranged on vehicle in this example for common video camera) photograph from top
The example of image, represents for the monitor area of the image shown in Figure 11, people B1～B6 ride in the case of the example of image.
Due to people B1～B6, the image photographed can't detect a part of labelling.
In this example, based on the image data photographed by surveillance camera 111～114, detect ground or seat etc.
On labelling (labelling can seen on image), using its quantity (count number) as detection reference numerals preserve.First, in advance
First pass through the monitor area of state that surveillance camera 111～114 shooting riding rate is 0%, it is ensured that (record) mark in the case of this
The amount detection of note is as initial markers quantity.Then, right for becoming the comparison by surveillance camera 111～114 shooting
The image of the monitor area of the state (the most current state etc.) of elephant, detection or reading detection labelling from record information
Number, marks the detection as number and is compared to calculate its difference with initial markers number.Relative to initial markers number this difference (=
Initial markers number-detection reference numerals) for the reference numerals that cannot see relative to the ratio of whole reference numerals, be set to occupancy and (take advantage of
Car rate).
As an example, be at 168 at initial markers number, detection reference numerals be at 132 in the case of, the labelling at 36 cannot
Detect.That is, ground or seat etc. exist the barrier in the marker detection such as people or goods.In this case, it is judged that
Go out the occupancy (riding rate) in the monitor area of corresponding surveillance camera 111～114 and be about 21%.
Here, arrange position according to surveillance camera 111～114, it is possible to detect the number change of labelling, therefore,
The most in advance for each surveillance camera 111～114 arranged, it is ensured that (detect or record) riding rate is detection mark when 0%
Numeration.
It addition, as specific pattern labelling, it is possible to use various icon indicias, such as can also use the marks such as dot pattern
Note.
Then, the configuration of surveillance camera is described.
Example as shown in Fig. 4 (a) and (b), imaged by the supervision directly over vehicle ceiling etc. is arranged on like that
The almost all region of image of machine shooting is effective scope for the calculating of riding rate, for the detection zone of people etc.
Territory.
But, such as, in the case of the surveillance camera that oblique upper is arranged, also shooting window or ceiling etc., and judges whether
Taken by people etc. and do not have related region.Therefore, this would not want to region row from detection region of detection in this case
Remove, limit detection region in advance, thus reduce error detection.
As concrete example, about window, can be set in the case of detecting window frame, not detect the change of image in this frame
Change, or in the case of cannot detecting window frame, detect and there is people or goods.Or, it is also possible to according to detecting window frame
The ratio of situation, the overlay area in presumption frame, specifically, such as in the case of detecting sixty percent window frame, can push away
Nobody or goods in the sixty percent of the window being set in frame, have people or goods in four one-tenth.
By so constituting, by the surveillance camera set in oblique first-class position, it is also possible to apply above-mentioned 3 people detection
Method (examples 1～3 of the computational methods of riding rate).
Illustrate the surveillance camera in vehicle in Figure 13 (a) and (b) arranges example.
Such as 13(a) in represent the situation in vehicle seen from above, Figure 13 (b) represents the feelings in side viewing vehicle
Shape.Specifically, represent the door 101,102 of vehicle both sides and seat 103,104,4 prisons being arranged on the ceiling of vehicle
Depending on video camera 201～204.In this example, 4 surveillance cameras 201～204 are set with the configuration of the oblique direction of vehicle,
It is respectively arranged to shoot obliquely downward from top.
As this example, set from by with the configuration as shown in Fig. 4 (a) and (b) or Figure 13 (a) and (b) or other configurations
In the image that the surveillance camera put obtains, draw the area occupied of people etc. in vehicle, be transformed in the method for riding rate, no
Need the people to riding or get off to count, therefore, it can not use the face detection function of such as people or contour detecting merit
Energy etc. are like that for detecting whether be the function that load is high that processes of people, and minimizing calculation process realizes.The such side of this example
In method, processing load low, the time before result of therefore calculating shortens, and in the most original circuit etc., the distance between standing is short, if place
The reason cost time then cannot launch information in real time, and the benefit that therefore, it can high speed processing is bigger.
In addition it is also possible to detection (calculating) method of arbitrary riding rate and arbitrary surveillance camera arranged position
Combination is implemented.Alternatively, it is also possible to use table in riding rate detection (calculating) method, this example beyond the method represented in this example
The configuration of the surveillance camera beyond configuration shown.
It addition, in the case of there is repeating part in the monitor area shot by the surveillance camera of more than 2, pin
To repeating part, it is believed that by relevant between the image that this surveillance camera of more than 2 photographs, such as by only using this
In the image that the surveillance camera of more than 2 photographs 1 or by from the shadow photographed with the surveillance camera of more than 2
The information equalization obtained in Xiang uses, and can obtain riding rate etc..
Then, the process of the data of riding rate is described with reference to Fig. 1 and Fig. 2.
The data of the riding rate (occupancy) obtained, such as by being arranged on the surveillance camera 11 in each vehicle A1～A4
～16 preserve temporarily, the managing device 24 to vehicle A1 ahead transmits this information.In managing device 24 to each vehicle A1～
Riding rate (occupancy) in the surveillance camera 11～16 of A4 is added up, and obtains current riding rate (the most each vehicle A1
～each riding rate of A4).Thus, all riding rates of rolling stock A1～A4 are equally obtained.
The result of riding rate, is notified to passenger or driving by the display device 23 arranged in each vehicle A1～A4
Member, and recording equipment 62 or the managing device of setting in 31 etc. it is transferred in the station of platform 32 etc. by transmitting device 25
61, by appropriate managerial, data base manages.
As the example of the information of display in the picture of display device 23 in Figure 14, illustrate the display example of riding rate.
As preferable mode example, describe to show riding rate in the way of understandable.Specifically, each vehicle A1's～A4
Image carries out text importing by percentage rate to riding rate (such as 120% etc.), and coordinates riding rate to change vehicle image
The region of part of application background color.In this example, the size in the region of riding rate and background colour is relative to the image of vehicle
Ratio consistent, it addition, by being set to by background colour such as 0%～50% for blueness, 50%～70% is yellow, and more than 70% is red
Colors etc., can be easily mastered riding rate intuitively.It addition, the direction of advance of train indicated by an arrow (vehicle), it addition, to each car
Numbering carry out text importing, it addition, for corresponding vehicle (this vehicle), in order to easy to understand and car number is added
Bracket (such as []), changes its background and surrounds line.
The information such as the image of monitoring system and riding rate, show also by display device, as this display in driver's cabin
Device, such as, be set to driver and can easily confirm the display device of image or information.Such as, there occurs an opening and closing in existence
In the case of abnormal vehicle, by watching the image of the surveillance camera being able to confirm that this in this vehicle, driving
What kind of situation just can grasp rapidly in room is.
It addition, by making it possible to display and the image of riding rate are cooperated confirmation, such as can arouse effectively
Attention to crowded vehicle.
In a display device, such as selected to want the image of the surveillance camera of viewing by driver etc., or select vehicle
Deng like that, shown the display content of picture by the project switching set.The various operations such as selection or setting, such as at display dress
In the case of being set to touch-screen type, picture can be touched by people and operate, it addition, as other examples, it is also possible at display dress
Put the input equipment such as connection mouse or keyboard, people operate.
Illustrate an example of the information of display in the picture of the display device of the driver's cabin of train in fig .15.
In the display picture 301 of the display device of this example, display part 311 shows the numbering of selected vehicle
Deng, display part 312 shows the riding rate etc. of each vehicle, display part 313 shows the position of surveillance camera in vehicle
Put, display part 314 shows the numbering of selected surveillance camera, show in display part 315 and can be carried out by people
The operating portion of various operations, shows the letter identifying the surveillance camera selected from multiple surveillance cameras in display part 316
Breath, shows the image by selected surveillance camera shooting in display part 317.
It addition, in this example, in the stations such as platform 32 31 or elevator in etc. the BBS of setting or digital signage etc.
In general display device 45,49,55, show the information etc. of riding rate too.It addition, accompany with this, show vehicle simultaneously
In or the image of platform, can be by visually confirming crowded state.Thus, become the auxiliary of people to be ridden, have
Help relax the crowded of vehicle or station.Alternatively, it is also possible to show the information such as riding rate on the ground of platform, for AT STATION
Easily watch for the people waited.
It addition, the information such as riding rate are distributed, by utilizing portable phone etc. by external network (such as network 65)
Representative portable terminal device or PC etc. (such as PC71, mobile communication terminal 72, digital signage 73 etc.), can also thing in station
First learn predetermined take the riding rate of train, the information of crowded state etc..
The information of riding rate, such as, remembered as image or voice data (such as with the data of sound of image)
Record, it addition, manage suitably by data base together with the information at date-time, station etc., thus, changing in train operation
Kind activity becomes useful information.
As it has been described above, in this example, in public transport operators such as the bus with train as representative, taxi etc.
Vehicle within the interior or exterior of the vehicle, by by the recording equipment of surveillance camera, image etc., network switching, display device, management fill
Put, the monitoring system of the composition such as transmitting device, transmission antenna is carried out in car etc. supervision, it addition, obtain based on by monitoring system
The riding rate in the car of train etc. derived by the image obtained, and (such as, together with the information by existing monitoring system record) is remembered
The various information such as record riding rate, thus, such as when certain accident occurs or when being used for the image analysing computer of purpose preventing crime
Deng, can utilize as useful information.
It addition, in this example, obtain the riding rate in the car of train etc. the most in real time, carry out showing, transmitting or record,
Thus can become the auxiliary of the operation of train etc..
So, in this example, monitoring system is utilized, with the image one shooting by the surveillance camera in car and recording
Rise, derive the information such as riding rate of each vehicle always according to this image etc., carry out recording, storing, simultaneously thus, such as when busy
Useful information can also be provided.
(the following is the explanation of structure example)
(1) as a structure example, structure as follows is become.
A kind of monitoring system, it is characterised in that possess: the image unit that predetermined region (monitor area) is shot
(function of the surveillance camera shown in such as Fig. 1 or Fig. 4 (a) and (b) or Figure 13 (a) and (b))；Based on by described image unit
The result (image) photographed, detects the ratio that the pre-earnest in described presumptive area (the such as biology such as people or object) takies
The occupation proportion detector unit (such as, being carried out the function of predetermined computing by any device) of (occupancy).
Therefore, it can obtain, based on image, the ratio that pre-earnest takies.
Here, as presumptive area, it is possible to use various regions.
It addition, as image unit, it is possible to use various image units.
It addition, as pre-earnest, it is possible to use various things, such as, can use and be photographed by the image unit used
Thing, as concrete example, it is possible to uses whole things that common video camera photographs as pre-earnest in image, or uses
The video cameras such as infrared ray use the thing (or exceeding the thing of predetermined temperature) etc. of more than predetermined temperature as pre-earnest.
It addition, the method for the ratio taken as detection, it is possible to use various methods.
(2) as a structure example (example of the 1st detection method: with reference to the example of Fig. 6～Fig. 8), become as follows
Structure.
Described occupation proportion detector unit, has: based on the result shot by described image unit, detects described predetermined
The unit of the area taken by described pre-earnest in region；And the area detected described in detection is relative to described predetermined district
The ratio of the reference area in territory, as the unit of the ratio that pre-earnest described in described presumptive area takies.
Therefore, it can the ratio according to area and obtain the ratio taken, such as, realize reducing calculation process amount.
Here, as image unit, as an example, it is possible to use the video camera of infrared ray etc..
It addition, as the reference area in presumptive area, it is possible to use various reference area, such as can use fate
The area of the part that can be taken by pre-earnest in territory, as an example, there may be the feelings of pre-earnest in the entirety of presumptive area
Under condition, it is possible to use all areas of presumptive area.
Additionally, as area, such as can carry out computing etc. by the size in actual region, or in actual region
Size relevant to the size on image in the case of, computing etc. can be carried out by the size on image.
(3) as a structure example (example of the 2nd detection method: with reference to the example of Fig. 9～Figure 10.), become following this
The structure of sample.
Multiple detection region is set in described presumptive area,
Described occupation proportion detector unit has: based on the result shot by described image unit, detects described predetermined
The unit of the quantity in the detection region taken by described pre-earnest in region；The quantity phase in the detection region detected described in detection
For the ratio of the quantity (total) in multiple detection regions of setting in described presumptive area, as the institute in described presumptive area
State the unit of the ratio that pre-earnest takies.
The ratio that therefore, it can quantity based on detection region obtains the ratio taken, such as, realize reducing calculation process
Amount.
Here, as the mode setting multiple detection region in predetermined areas, it is possible to use various modes.It addition, make
Shape or size for detection region, it is possible to use variously-shaped or size.
It addition, as judging whether each detection region is scheduled the method that thing takies, it is possible to use various methods, such as may be used
With use in the presence of predetermined thing and not in the presence of the difference of reference value (such as luminance level is equivalent) more than predetermined threshold value
It is judged to occupied method time (or exceeding predetermined threshold value).Additionally, as the reference value in each detection region, the most permissible
Use the meansigma methods of the value of 1 multiple position detected in region, or use 1 in 1 detection region to represent position
Value.
(4) as a structure example (example of the 3rd detection method: with reference to the example of Figure 11～Figure 12.), become following this
The structure of sample.
Multiple labelling is charged in described presumptive area,
Described occupation proportion detector unit has: based on the result shot by described image unit, detects described predetermined
The unit of the quantity of the labelling taken by described pre-earnest in region and do not photograph；The quantity of the labelling detected described in detection
Relative to the ratio of the quantity (total) of the multiple labellings charged in described presumptive area, described in described presumptive area
The unit of the ratio that pre-earnest takies.
The ratio that therefore, it can quantity based on labelling obtains the ratio taken, such as, realize reducing calculation process amount.
Here, as the mode setting multiple labelling in predetermined areas, it is possible to use various modes.It addition, as mark
The shape of note or size, it is possible to use variously-shaped or size.
It addition, in the case of only photographing a part for 1 labelling in image, such as can use and be judged to labelling quilt
The mode photographed, or in the way of using and being judged to that labelling is not photographed, or can also use and photograph 1 mark
In the case of part (or exceeding the part of predetermined ratio) more than predetermined ratio in the entirety of note, it is determined that be taken for labelling
The mode arrived.
(5) as a structure example, structure as follows is become.
Described image unit is arranged on the position shot described presumptive area from top (with reference to Fig. 4 or figure
13.).
Therefore, by image unit, such as can be immediately below surface (top) shooting, or from the shooting tiltedly of top
Side.
(6) as a structure example, structure as follows is become.
Described image unit, respectively by the multiple shootings of the part (or can be whole) shooting described presumptive area
Machine (the such as surveillance camera 11～16 shown in Fig. 1.Also referring to Fig. 4 or Figure 13.) constitute, by taking the photograph of these multiple video cameras
All as region covers (comprising) described presumptive area,
Described occupation proportion detector unit, for each described video camera, detects the region (shooting shot by video camera
Region) in the situation (as an example, can be the ratio taken) taken of described pre-earnest, based on this, detection is for institute
State the ratio taken of presumptive area.
Therefore, it can the situation taken based on each video camera for multiple video cameras, in detection presumptive area
All ratios taken.
Here, as multiple video cameras arrange position, shooting direction or quantity etc., it is possible to use various modes.
It addition, as each condition detection taken based on multiple video cameras for the ratio taken of presumptive area
Method, it is possible to use various methods, such as in different cameras, in the case of camera watch region does not has repeating part, can
Directly to adopt the situation (ratio such as taken) taken for whole video cameras, detect the situation taken of entirety
(ratio taken), it addition, in different video cameras, in the case of there is repeating part in camera watch region, it is considered to this repetition
The overlap of the situation taken in part, for example with representational one, or take plural averagely etc., the most permissible
Adopt the situation taken for whole video cameras and detect the situation (ratio taken) taken of entirety.
(7) as a structure example, structure as follows is become.
As described presumptive area, use the region of vehicle interior.
The ratio (such as riding rate) that the pre-earnest that therefore, it can to detect in the region of vehicle interior takies.
(8) as a structure example, structure as follows is become.
As described presumptive area, use the region of the inside of 1 vehicle constituting train, use in described presumptive area
The occupation proportion of described pre-earnest, as riding rate (with reference to Fig. 1 etc.).
Therefore, it can the ratio (riding rate) taken detecting in the vehicle of train.
Here, in the case of being constituted train by multiple vehicles, can examine based on the situation taken for each vehicle
The chaining pin ratio (riding rate) taken to train all (entirety of rolling stock).
(9) as a structure example, structure as follows is become.
Possesses the display unit (example of the information of the ratio taken that display is detected by described occupation proportion detector unit
The function of display device 23,45,49,55 etc. as shown in Figure 1 or 2).
Therefore, it can show the situation of the ratio taken, such as, can wait on the driver of train, passenger or platform
People etc. inform the situations such as crowded.
Here, as display unit, it is possible to use various display units, it addition, as the mode of display, it is possible to use each
The mode of kind.
(being above the explanation of structure example)
(summary of embodiment)
Here, the structure of the system of the present invention or device etc. is not necessarily limited to above structure, it is possible to use various structures.Separately
Outward, the present invention such as can be used as performing the method for process of the present invention or mode, for realizing the journey of the method or mode
Sequence or record the record medium etc. of this program and provide, it addition, can be used as various system or device provides.
It addition, the application of the present invention is not necessarily limited to above-described field, the present invention can be applied to various field.
It addition, as the various process performed in the system of the present invention or device etc., such as can use and possess place
In the hardware resource of reason device or memorizer etc., by being performed at ROM(read only memory by processor) the middle control program stored
The structure controlled, it addition, each functional unit being such as used for performing this process can be constituted as independent hardware circuit.
It addition, the present invention can also be as floppy disk (registered trade mark) or the CD(Compact storing above-mentioned control program
Disc: compact disk) the record medium of the embodied on computer readable such as-ROM or this program (own) grasp, by from this record medium
By this control program input computer and performed by processor, it is possible to achieve the process of the present invention.
Industrial applicability
The present invention relates to monitoring system, especially in the car of train or bus etc., it is possible to be easily computed crowded
Degree, is effectively provided to user.
The explanation of symbol
A1～A8 vehicle；1,2,101,102；11～16,42～44,47,48,52～54,111～114,201～204
Surveillance camera；21,41,46,51 network switchings (network SW)；22,62 recording equipment；23,45,49,55 display device；24、
61 managing devices；25,63 transmitting device；26,64 transmission antenna；In 31 stations；32 platforms；33 caretaker rooms；65 networks；71 people's meters
Calculation machine (PC)；72 mobile communication terminals；73 digital signage；103,104 seat；B1～B6 people；C1～C6 detects the part of people；
301 display pictures；311～317 display parts.
Claims (8)
1. a monitoring system, in the vehicle monitoring train, it is characterised in that
Possess:
Image unit, is used for shooting presumptive area；And
Occupation proportion detector unit, for according to the result shot by described image unit, detects in described presumptive area pre-
The ratio that earnest takies,
When there is the region of repetition between each described presumptive area, using in multiple described image units as
Represent image unit, represent the image pickup result of image unit based on this and detected by described occupation proportion detector unit and to take
Ratio, or image pickup results based on multiple described image units are detected by described occupation proportion detector unit each
The meansigma methods of the ratio taken as the ratio taken,
Passenger according to the opening and closing of door by bus or possess in the vehicle of train got off described image unit and described in take ratio
Example detector unit,
Closedown after being opened by described door is as triggering, and described occupation proportion detector unit starts in described presumptive area
The quantity in the detection region shared by described pre-earnest carries out the process that detects and described pre-as in described presumptive area
Ratio that earnest takies and carry out the process detected.
Monitoring system the most according to claim 1, it is characterised in that
Described occupation proportion detector unit has:
According to the result shot by described image unit, detect the area that taken in described presumptive area by described pre-earnest
Unit；And
Detect area described in described presumptive area relative to the ratio of reference area as described in described presumptive area
The unit of the ratio that pre-earnest takies.
Monitoring system the most according to claim 1, it is characterised in that
Multiple detection region is set in described presumptive area,
Described occupation proportion detector unit has:
According to the result shot by described image unit, detect the detection zone taken in described presumptive area by described pre-earnest
The unit of the quantity in territory；And
Detect the quantity ratio relative to the quantity in the multiple detection regions set in described presumptive area in described detection region
Example, as the unit of the ratio that pre-earnest described in described presumptive area takies.
Monitoring system the most according to claim 1, it is characterised in that
Multiple labelling has been charged in described presumptive area,
Described occupation proportion detector unit has:
According to the result shot by described image unit, detect and described presumptive area is taken by described pre-earnest and does not shoots
The unit of the quantity of the labelling arrived；And
Detect the quantity ratio relative to the quantity of the multiple labellings charged in described presumptive area of described labelling, as
The unit of the ratio that pre-earnest takies described in described presumptive area.
5. an occupation proportion detection method, in the vehicle monitoring train, it is characterised in that
According to the result by image unit shooting presumptive area, detect the ratio that in described presumptive area, pre-earnest takies,
When there is the region of repetition between each described presumptive area, using in multiple described image units as
Represent image unit, detect, based on this image pickup result representing image unit, the ratio taken, or will take the photograph described in multiple
The meansigma methods of each the ratio taken detected as the image pickup result of unit as the ratio taken,
By bus or described image unit is possessed in the vehicle of train got off according to the opening and closing of door passenger,
Closedown after being opened by described door, as triggering, starts the inspection shared by the described pre-earnest in described presumptive area
Survey the quantity in region to carry out the process that detects and the ratio that takies as the described pre-earnest in described presumptive area and carry out
The process of detection.
Occupation proportion detection method the most according to claim 5, it is characterised in that
According to the result shot by described image unit, detect the area taken in described presumptive area by described pre-earnest,
Detect area described in described presumptive area relative to the ratio of reference area, as predetermined described in described presumptive area
The ratio that thing takies.
Occupation proportion detection method the most according to claim 5, it is characterised in that
Multiple detection region is set in described presumptive area,
According to the result shot by described image unit, detect the detection zone taken in described presumptive area by described pre-earnest
The quantity in territory, detects the quantity quantity relative to the multiple detection regions set in described presumptive area in described detection region
Ratio, the ratio taken as pre-earnest described in described presumptive area.
Occupation proportion detection method the most according to claim 5, it is characterised in that
Multiple labelling is charged in described presumptive area,
According to the result shot by described image unit, detect and described presumptive area is taken by described pre-earnest and does not shoots
The quantity of the labelling arrived, detects the quantity ratio relative to the quantity of the multiple labellings charged in described presumptive area of described labelling
Example, the ratio taken as pre-earnest described in described presumptive area.
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| JP2011002182A JP5832749B2 (en) | 2011-01-07 | 2011-01-07 | In-train monitoring system and in-train monitoring method |
| PCT/JP2011/079700 WO2012093592A1 (en) | 2011-01-07 | 2011-12-21 | Monitoring system and occupancy proportion detection method |
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| JP6415795B1 (en) * | 2017-01-25 | 2018-10-31 | 三菱電機株式会社 | Congestion prediction apparatus and congestion prediction method |
| CN107145819A (en) * | 2017-03-14 | 2017-09-08 | 浙江宇视科技有限公司 | A kind of bus crowding determines method and apparatus |
| CN107729829A (en) * | 2017-10-08 | 2018-02-23 | 华北理工大学 | Intelligent public transportation system and implementation method |
| CN107622254A (en) * | 2017-10-08 | 2018-01-23 | 华北理工大学 | Public transport crowding detecting system and method |
| US10740632B2 (en) * | 2018-02-19 | 2020-08-11 | Robert Bosch Gmbh | Occupant detection system and method for transportation vehicle |
| CN109650200B (en) * | 2018-12-27 | 2021-01-26 | 佛山科学技术学院 | Efficient elevator operation control method and system |
| JP6929342B2 (en) * | 2019-12-02 | 2021-09-01 | 三菱電機株式会社 | Equipment monitoring equipment, equipment monitoring method and equipment monitoring program |
| JP2021002835A (en) * | 2020-09-01 | 2021-01-07 | 株式会社日立国際電気 | Monitoring system and monitoring method |
| US20230308612A1 (en) * | 2020-09-30 | 2023-09-28 | Nec Corporation | Image processing system, communication apparatus, and image processing method |
| WO2022264357A1 (en) * | 2021-06-17 | 2022-12-22 | 日本電気株式会社 | Congestion degree identification device, control method, and non-transitory computer-readable medium |
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| JP2012146022A (en) | 2012-08-02 |
| WO2012093592A1 (en) | 2012-07-12 |
| JP5832749B2 (en) | 2015-12-16 |
| CN103299344A (en) | 2013-09-11 |
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