CN109815820A - Object localization method and relevant apparatus - Google Patents
Object localization method and relevant apparatus Download PDFInfo
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- CN109815820A CN109815820A CN201811598423.2A CN201811598423A CN109815820A CN 109815820 A CN109815820 A CN 109815820A CN 201811598423 A CN201811598423 A CN 201811598423A CN 109815820 A CN109815820 A CN 109815820A
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Abstract
The embodiment of the present application discloses object localization method and relevant apparatus, method includes: that the face information of the target bus passenger is obtained by being placed at least one information Perception equipment described in target public transit vehicle different location within public transport operation peak period；Determine that the passenger that face information is not detected is first object passenger；The behavioural information of the first object passenger is obtained by least one described information Perception equipment, and determines that having the passenger of abnormal behaviour in the first object passenger is the second target passenger according to the behavioural information；The second target passenger is monitored in real time by least one described information Perception equipment.The embodiment of the present application is conducive to identify the potential danger passenger on bus in time, to be monitored to it.
Description
Technical field
This application involves electronic technology fields, and in particular to a kind of method and relevant apparatus of target positioning.
Background technique
Since the flow of the people of bus is larger, the time of getting on or off the bus is shorter, security protection measure is weak, is easy to happen pilferage behavior,
Especially in morning and evening peak period, since passenger is more and environment is crowded, passenger guards against the heart weaker, steals robbery behavior and is easy
High frequency occurs, and causes passenger's property loss and does not often know.It, can be right to provide a safe and secure public transport environment to passenger
The suspicious passenger of passenger's bus identifies in advance, to carry out safety precaution.
Summary of the invention
The embodiment of the present application provides a kind of object localization method and relevant apparatus, suspicious on bus to identify
Passenger is simultaneously monitored it.
In a first aspect, the embodiment of the present application provides a kind of object localization method, the cloud service applied to public transport early warning system
Device, the public transport early warning system include the Cloud Server and at least one information Perception equipment, the Cloud Server and described
The foundation of at least one information Perception equipment has communication connection, which comprises
Within public transport operation peak period, by being placed at least one information sense described in target public transit vehicle different location
Know that equipment obtains the face information of the target bus passenger；
Determine that the passenger that face information is not detected is first object passenger；
The behavioural information of the first object passenger is obtained by least one described information Perception equipment, and according to institute
It states behavioural information and determines that having the passenger of abnormal behaviour in the first object passenger is the second target passenger；
The second target passenger is monitored in real time by least one described information Perception equipment.
Second aspect, the embodiment of the present application provide a kind of target locating set, the cloud service applied to public transport early warning system
Device, the public transport early warning system include the Cloud Server and at least one information Perception equipment, the Cloud Server and described
The foundation of at least one information Perception equipment has a communication connection, and the target locating set includes processing unit and communication unit,
In,
The processing unit, for establishing communication link by the communication unit and at least one described information Perception equipment
It connects；And be used within public transport operation peak period, by being placed at least one letter described in target public transit vehicle different location
Breath awareness apparatus obtains the face information of the target bus passenger；And multiplying for face information is not detected for determination
Visitor is first object passenger；And the row for obtaining the first object passenger by least one described information Perception equipment
For information, and according to the behavioural information determine that having the passenger of abnormal behaviour in the first object passenger is that the second target multiplies
Visitor；And for being monitored in real time by least one described information Perception equipment to the second target passenger.
The third aspect, the embodiment of the present application provide a kind of Cloud Server, including processor, memory, communication interface and
One or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned
It manages device to execute, above procedure is included the steps that for executing the instruction in the embodiment of the present application first aspect either method.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein above-mentioned computer-readable
Storage medium storage is used for the computer program of electronic data interchange, wherein above-mentioned computer program executes computer such as
Step some or all of described in the embodiment of the present application first aspect either method.
5th aspect, the embodiment of the present application provide a kind of computer program product, wherein above-mentioned computer program product
Non-transient computer readable storage medium including storing computer program, above-mentioned computer program are operable to make to calculate
Machine executes the step some or all of as described in the embodiment of the present application first aspect either method.The computer program product
It can be a software installation packet.
As can be seen that Cloud Server is first within public transport operation peak period, by being placed in target in the embodiment of the present application
At least one described information Perception equipment of public transit vehicle different location obtains the face information of the target bus passenger,
Secondly, determining that the passenger that face information is not detected is then first object passenger is set by least one described information Perception
The standby behavioural information for obtaining the first object passenger, and determine in the first object passenger have according to the behavioural information
The passenger of abnormal behaviour is the second target passenger, finally, by least one described information Perception equipment to second target
Passenger monitors in real time.Since Cloud Server can pass through at least one information Perception equipment within public transport operation peak period
The face information of every passenger on target bus is obtained, first determines the first object passenger that face information is not detected, then really
Determine the second target passenger for having abnormal behaviour in first object passenger, then the second target is multiplied by least one awareness apparatus
Visitor monitors in real time, and suspicious passenger is navigated in the second target passenger, is conducive in time by being monitored to it to it
Safety precaution is carried out, can be found in time when it is implemented and steals robbery behavior.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of system architecture schematic diagram of early warning system provided by the embodiments of the present application；
Fig. 2 is a kind of flow diagram of object localization method provided by the embodiments of the present application；
Fig. 3 is the flow diagram of another object localization method provided by the embodiments of the present application；
Fig. 4 is the flow diagram of another object localization method provided by the embodiments of the present application；
Fig. 5 is a kind of structural schematic diagram of Cloud Server provided by the embodiments of the present application；
Fig. 6 is a kind of functional unit composition block diagram of target locating set provided by the embodiments of the present application.
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, it is clear that described embodiment is only
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
The description and claims of this application and term " first " in above-mentioned attached drawing, " second " etc. are for distinguishing
Different objects, are not use to describe a particular order.In addition, term " includes " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as the process, method, system, product or equipment for containing a series of steps or units do not have
It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally also wrap
Include other step or units intrinsic for these process, methods, product or equipment.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Electronic equipment involved by the embodiment of the present application may include various handheld devices, mobile unit, wearable set
It is standby, calculate equipment or be connected to radio modem other processing equipments and various forms of user equipment (User
Equipment, UE), mobile station (Mobile Station, MS), electronic equipment equipment (terminal Pevice) etc..
The embodiment of the present application proposes a kind of object localization method, is situated between in detail to the embodiment of the present application with reference to the accompanying drawing
It continues.
As shown in FIG. 1, FIG. 1 is a kind of possible system architectures of public transport early warning system involved by the embodiment of the present application
Figure, including the Cloud Server 101 of public transport early warning system, information Perception equipment 102, information Perception equipment 103 ... information sense
Know equipment N+1, wherein N is natural number, Cloud Server 101 and information Perception equipment 102, information Perception equipment 103 ... information sense
Know that equipment N+1 is communicated to connect；Information Perception equipment 102 is the information Perception equipment that public transport early warning system must include；
Information Perception equipment 103 ... information Perception equipment N+1 is optional, the letter used according to the specifically used environment of public transport early warning system
Cease awareness apparatus.Wherein, information Perception equipment has recognition of face, takes pictures, images, obtaining the function such as electronic device association information
It can, wherein related information includes the electronic identity mark recorded in the device identification and/or target electronic device of target electronic device
Know.At least one above-mentioned information Perception equipment when executing above-mentioned function by the control of Cloud Server 101, and on getting
It will be uploaded to Cloud Server 101 after stating information, Cloud Server 101 handles the information got, after obtaining processing result
Preset control instruction is conveyed at least one above-mentioned information Perception equipment again, at least one above-mentioned information Perception is set with realizing
Standby control.Optionally, user can carry out flexibly at least one above-mentioned information Perception equipment by interacting with Cloud Server
Control.
Referring to Fig. 2, Fig. 2 is that the embodiment of the present application provides a kind of flow diagram of object localization method, it is applied to
The Cloud Server of public transport early warning system, the public transport early warning system include that the Cloud Server and at least one information Perception are set
Standby, the Cloud Server and the foundation of at least one described information Perception equipment have communication connection, as shown, this target positioning side
Method includes:
S201, Cloud Server is within public transport operation peak period, by being placed in described in target public transit vehicle different location
At least one information Perception equipment obtains the face information of the target bus passenger.
Wherein, passenger throughput of bus is big, the time of getting on or off the bus is shorter, security protection measure is weak, is easy to happen and steals robbery behavior,
For the generation that this behavior is reduced or avoided, consider in the multiple and different position setting information awareness apparatus of bus, in bus
It runs in peak period, the more environment by bus of usual passenger is more crowded and law-breaker implements to steal the height of robbery behavior
The frequency period.It, at this time can be by being placed in when target bus is within public transport operation peak period, and patronage is more than certain amount
At least one information Perception equipment of target public transit vehicle different location obtains the face information of target bus passenger.
S202, the Cloud Server determine that the passenger that face information is not detected is first object passenger.
Wherein, when there is the passenger that face information face information is not detected on detecting target bus, determine that this multiplies
Visitor is first object passenger and is marked.First object passenger's can may be multiple passengers for a passenger.
S203, the Cloud Server obtain the row of the first object passenger by least one described information Perception equipment
For information, and according to the behavioural information determine that having the passenger of abnormal behaviour in the first object passenger is that the second target multiplies
Visitor.
Wherein, the behavioural information of first object passenger, behavior can be further obtained by least one information Perception equipment
Information may include the information such as passenger position, stance, movement, when having the passenger of abnormal behavior in detecting first object passenger,
Determine that the passenger of abnormal behavior is the second target passenger.
S204, the Cloud Server, which passes through at least one described information Perception equipment, carries out in fact the second target passenger
When monitor.
As can be seen that Cloud Server is first within public transport operation peak period, by being placed in target in the embodiment of the present application
At least one described information Perception equipment of public transit vehicle different location obtains the face information of the target bus passenger,
Secondly, determining that the passenger that face information is not detected is then first object passenger is set by least one described information Perception
The standby behavioural information for obtaining the first object passenger, and determine in the first object passenger have according to the behavioural information
The passenger of abnormal behaviour is the second target passenger, finally, by least one described information Perception equipment to second target
Passenger monitors in real time.Since Cloud Server can pass through at least one information Perception equipment within public transport operation peak period
The face information of every passenger on target bus is obtained, first determines the first object passenger that face information is not detected, then really
Determine the second target passenger for having abnormal behaviour in first object passenger, then the second target is multiplied by least one awareness apparatus
Visitor monitors in real time, and suspicious passenger is navigated in the second target passenger, is conducive in time by being monitored to it to it
Safety precaution is carried out, can be found in time when it is implemented and steals robbery behavior.
In a possible example, the passenger that face information is not detected in the determination is first object passenger, comprising:
Determine that the facial image clarity in face information multiplies less than at least one passenger of the first preset threshold for the first object
Visitor；Alternatively, the facial image area in determining face information is described first less than at least one passenger of the second preset threshold
Target passenger；Alternatively, at least one of amimia variation in the first preset duration of the facial expression in determining face information multiplies
Visitor is the first object passenger.
Wherein, when illegal person is wanted to implement to steal robbery behavior, often face is blocked to avoid monitored
The face of video recording shooting, therefore, at least one information Perception equipment obtains the face information of all passengers on target public transit vehicle
Afterwards, after the face information of every passenger being sent to Cloud Server, Cloud Server is determined in face information, facial image clarity
It is the first object passenger less than at least one passenger of the first preset threshold, alternatively, determining the face figure in face information
Image planes product is the first object passenger less than at least one passenger of the second preset threshold, alternatively, determining in face information
At least one passenger of facial expression amimia variation in the first preset duration is the first object passenger, thus, it can incite somebody to action
First object passenger navigates to that facial image is unintelligible, and facial image area is smaller can not to be prepared to identify, human face expression is unchanged
Passenger in.
As it can be seen that information Perception equipment is uploaded to Cloud Server, Cloud Server after getting face information in real time in this example
Facial image is analyzed, and then determination navigates to first object passenger on the passenger that face information is not detected, in turn
Reduce the amount detection detected by information Perception equipment to passenger.
It is described to determine in the first object passenger there is abnormal row according to the behavioural information in a possible example
For passenger be the second target passenger, comprising: according to the behavioural information, determine that each target multiplies in the first object passenger
The travel frequency and activity space range of visitor；Determine that the activity space range is greater than third predetermined threshold value, and in the work
The behavior that the travel frequency in dynamic spatial dimension is greater than the 4th preset threshold is abnormal behaviour；Determine that the first object multiplies
Having the passenger of abnormal behaviour in visitor is the second target passenger.
Wherein, after the behavioural information that first object passenger is obtained by least one information Perception equipment, believed according to behavior
Breath determines the travel frequency and activity space range of each target passenger, when the activity space range for detecting passenger is greater than
Third predetermined threshold value, and the travel frequency within the scope of activity space be greater than four preset thresholds when, determine the passenger have it is different
Chang Hangwei, the passenger frequent and significantly movement may be intended to implement to steal robbery behavior to other passengers, thus should
Passenger is positioned as the second target passenger.In addition, the passenger in first object passenger with abnormal behaviour is determined as the second mesh
Scalar multiplication visitor.
For example, travel frequency is greater than four times per minute detecting that passenger A frequently moves on target bus,
It is mobile per minute three times the 4th preset threshold is greater than, activity space range accounts for the percent of target bus mass activity range
50 are greater than third predetermined threshold value 30 percent, it may be determined that the passenger behavior is abnormal, which is navigated to the second target and is multiplied
Visitor.
As it can be seen that Cloud Server can determine first object passenger's according to the behavioural information of first object passenger in this example
Activity space range in first object passenger is greater than third predetermined threshold value by activity space range and travel frequency, and in work
The passenger that travel frequency is greater than the 4th preset threshold in dynamic spatial dimension is positioned as the second target passenger, and the second target passenger is pre-
The maximum probability of survey can be implemented to steal a suspect of robbery behavior, further reduced information Perception equipment and detected to crowd
Amount detection.
It is described to determine in the first object passenger there is abnormal row according to the behavioural information in a possible example
For passenger be the second target passenger, comprising: according to the behavioural information, determine that each passenger exists in the first object passenger
At least one zone of action on the target bus, wherein region where target bus passenger quilt in advance
It is divided into multiple zone of action；According at least one zone of action of each passenger, judge in the first object passenger
Whether abnormal behaviour is had；If so, the passenger with abnormal behaviour is determined as the second target passenger.
Wherein, the region where target public transport occupant of the car is divided into multiple zone of action in advance, for example, can be according to mesh
It marks bus length of wagon and proparea is divided into the first zone of action, middle zoning is divided into the second zone of action, by rear Division
For third zone of action, or front door will nearby be divided into the first zone of action, back door is nearby divided into the second zone of action, seat
Position zoning is divided into third zone of action, and the intermediate region division without seat is the 4th zone of action, the division for zone of action,
Any restriction is not done herein.
As it can be seen that Cloud Server is determined according to the behavioural information of passenger each in first object passenger by bus in this example
In the process, at least one zone of action that each passenger stopped determines first object passenger according at least one zone of action
In whether have abnormal behaviour, so that the passenger of exception will occur behavior is positioned as the second target passenger, the second target passenger
To be easy a suspect for implementing to steal robbery behavior, the detection that information Perception equipment detects crowd has been further reduced
Quantity.
In a possible example, described at least one zone of action according to each passenger judges described
Whether there is abnormal behaviour in one target passenger, comprising: according at least one zone of action of each passenger, determination each multiplies
Objective corresponding first zone of action number；It determines at least one zone of action of each passenger, it is pre- that stay time is greater than first
If the second zone of action number of the zone of action of duration；Calculate second zone of action number and first zone of action
The ratio of number；When detecting that the ratio is greater than five preset thresholds, it is determined as abnormal behaviour.
Wherein, Cloud Server is according at least one corresponding zone of action of each passenger, it is determined whether has abnormal behaviour
It when generation, first determines that the corresponding zone of action number of each passenger is the first zone of action number, is determining each passenger's stop
The zone of action number that duration is greater than the 5th preset threshold is the second zone of action number, so that calculating second obtains number of regions
With the ratio of the first zone of action number, the passenger that ratio is greater than the 6th preset threshold is determined as the second target passenger.
As it can be seen that in this example, according to the first activity of at least one zone of action of every passenger in first object passenger
Number of regions and stay time are greater than the second zone of action number of the zone of action of the 5th preset threshold, according to passenger's
Number of regions and the stay time in zone of action are obtained, whether detection passenger has abnormal behaviour, to there will be abnormal behaviour
Passenger be positioned as the second target passenger.
In a possible example, described at least one zone of action according to each passenger judges described
Whether there is abnormal behaviour in one target passenger, comprising: the first mesh is determined according at least one zone of action of each passenger
With the presence or absence of the passenger stopped in default hazardous activity region in scalar multiplication visitor；If so, determine the passenger in the default danger
Whether the stay time of zone of action is greater than the second preset duration；It is detecting in the stop in the default hazardous activity region
When length is greater than the second preset duration, it is determined as abnormal behaviour.
Wherein, the region for stealing robbery behavior in the passenger zone of action of target bus, can will be easy to appear in advance to set
It is set to default hazardous activity region, and determines in first object passenger, in default hazardous activity region stay time greater than the
The passenger of two preset durations, and then the passenger in default hazardous activity region can be checked by monitoring, if to implement to steal and rob
It robs.
As it can be seen that predefining the hazardous activity region of target public transport in this example, and it is set as default hazardous activity area
Domain, thus, there is passenger to stop in detecting first object passenger in default hazardous activity region, and stay time is greater than second
When preset duration, it is determined as the second target passenger, so as to further pass through at least one information Perception equipment to the second target
Passenger is monitored.
In a possible example, the Cloud Server also has communication connection with palm mark equipment foundation, described to pass through institute
It states after at least one information Perception equipment is monitored the second target passenger, the method also includes: according to described
The face information of second target passenger carries out identification to the second target passenger；Determining the second target passenger
Identity information after, determine whether the second target passenger has criminal history；If so, determining that the second target passenger is latent
In threat passengers；Alternatively, inquiry suspicious figure's identity database, determines that the second target passenger is judged as suspicious figure's
Number；When detecting that the second target passenger is judged as the number of suspicious figure greater than six preset thresholds, institute is determined
Stating the second target passenger is potential danger passenger；Danger early warning information is sent to the palm mark equipment in order to the palm mark equipment
Holder be monitored and execute predetermined registration operation according to the potential danger passenger, the danger early warning information includes described
The real-time monitoring images of potential danger passenger.
Wherein, Cloud Server can carry out identification to the second target passenger according to the face information of the second target passenger,
To which whether the second target passenger of detection has criminal history, if so, being then determined as potential danger passenger.
Wherein, Cloud Server can also inquire suspicious figure's identity database, can will be to be determined as the second target passenger
Passenger be added to suspicious figure's identity database, the passenger in the second target passenger of inspection is judged as suspicious figure's
When number is greater than six preset thresholds, the second target passenger can be determined as potential danger passenger.
As it can be seen that in this example, by judging that the second target passenger is to second target passenger's further progress identification
No is potential danger passenger, if it is, thenad mark equipment sends danger early warning information in order to slap the holder couple of mark equipment
Potential danger passenger is monitored and executes predetermined registration operation, prevents trouble before it happens, and the public transport for providing an equal safety for passenger is taken
Environment.
It is consistent with above-mentioned embodiment shown in Fig. 2, referring to Fig. 3, Fig. 3 is another mesh provided by the embodiments of the present application
The flow diagram for marking localization method, applied to the Cloud Server of public transport early warning system, the public transport early warning system includes described
Cloud Server and at least one information Perception equipment, the Cloud Server and the foundation of at least one described information Perception equipment have logical
Letter connection, as shown, this object localization method includes:
S301, Cloud Server are within public transport operation peak period, by being placed in described in target public transit vehicle different location
At least one information Perception equipment obtains the face information of the target bus passenger.
S302, the Cloud Server determine that the passenger that face information is not detected is first object passenger.
S303, the Cloud Server obtain the row of the first object passenger by least one described information Perception equipment
For information.
S304, the Cloud Server determine each target passenger in the first object passenger according to the behavioural information
Travel frequency and activity space range.
S305, the Cloud Server determine that the activity space range is greater than third predetermined threshold value, and empty in the activity
Between the travel frequency in range to be greater than the behavior of the 4th preset threshold be abnormal behaviour.
S306, the Cloud Server determine that having the passenger of abnormal behaviour in the first object passenger is second target
Passenger.
S307, the Cloud Server, which pass through at least one described information Perception equipment, carries out in fact the second target passenger
When monitor.
As can be seen that Cloud Server is first within public transport operation peak period, by being placed in target in the embodiment of the present application
At least one described information Perception equipment of public transit vehicle different location obtains the face information of the target bus passenger,
Secondly, determining that the passenger that face information is not detected is then first object passenger is set by least one described information Perception
The standby behavioural information for obtaining the first object passenger, and determine in the first object passenger have according to the behavioural information
The passenger of abnormal behaviour is the second target passenger, finally, by least one described information Perception equipment to second target
Passenger monitors in real time.Since Cloud Server can pass through at least one information Perception equipment within public transport operation peak period
The face information of every passenger on target bus is obtained, first determines the first object passenger that face information is not detected, then really
Determine the second target passenger for having abnormal behaviour in first object passenger, then the second target is multiplied by least one awareness apparatus
Visitor monitors in real time, and suspicious passenger is navigated in the second target passenger, is conducive in time by being monitored to it to it
Safety precaution is carried out, can be found in time when it is implemented and steals robbery behavior.
In addition, Cloud Server can determine the activity space of first object passenger according to the behavioural information of first object passenger
Activity space range in first object passenger is greater than third predetermined threshold value by range and travel frequency, and in activity space model
It encloses interior travel frequency and is positioned as the second target passenger greater than the passenger of the 4th preset threshold, the second target passenger is to be easy implementation to steal
The a suspect for stealing robbery behavior, has further reduced the amount detection that information Perception equipment detects crowd.
Consistent with above-mentioned Fig. 2, embodiment shown in Fig. 3, please referring to 4, Fig. 4 is another kind provided by the embodiments of the present application
The flow diagram of object localization method, applied to the Cloud Server of public transport early warning system, the public transport early warning system includes institute
Cloud Server and at least one information Perception equipment are stated, the Cloud Server and the foundation of at least one described information Perception equipment have
Communication connection, as shown, this object localization method includes:
S401, Cloud Server are within public transport operation peak period, by being placed in described in target public transit vehicle different location
At least one information Perception equipment obtains the face information of the target bus passenger.
S402, the Cloud Server determine that the passenger that face information is not detected is first object passenger.
S403, the Cloud Server obtain the row of the first object passenger by least one described information Perception equipment
For information.
S404, the Cloud Server determine each target passenger in the first object passenger according to the behavioural information
Travel frequency and activity space range.
S405, the Cloud Server determine that the activity space range is greater than third predetermined threshold value, and empty in the activity
Between the travel frequency in range to be greater than the behavior of the 4th preset threshold be abnormal behaviour.
S406, the Cloud Server determine that having the passenger of abnormal behaviour in the first object passenger is second target
Passenger.
S407, the Cloud Server, which pass through at least one described information Perception equipment, carries out in fact the second target passenger
When monitor.
S408, the Cloud Server according to the face information of the second target passenger, to the second target passenger into
Row identification；After the identity information for determining the second target passenger, determine whether the second target passenger has crime
History；If so, determining that the second target passenger is potential danger passenger.
S409, the Cloud Server send danger early warning information holding in order to the palm mark equipment to the palm mark equipment
The person of having is monitored and executes predetermined registration operation according to the potential danger passenger, and the danger early warning information includes described potential
The real-time monitoring images of threat passengers.
As can be seen that Cloud Server is first within public transport operation peak period, by being placed in target in the embodiment of the present application
At least one described information Perception equipment of public transit vehicle different location obtains the face information of the target bus passenger,
Secondly, determining that the passenger that face information is not detected is then first object passenger is set by least one described information Perception
The standby behavioural information for obtaining the first object passenger, and determine in the first object passenger have according to the behavioural information
The passenger of abnormal behaviour is the second target passenger, finally, by least one described information Perception equipment to second target
Passenger monitors in real time.Since Cloud Server can pass through at least one information Perception equipment within public transport operation peak period
The face information of every passenger on target bus is obtained, first determines the first object passenger that face information is not detected, then really
Determine the second target passenger for having abnormal behaviour in first object passenger, then the second target is multiplied by least one awareness apparatus
Visitor monitors in real time, and suspicious passenger is navigated in the second target passenger, is conducive in time by being monitored to it to it
Safety precaution is carried out, can be found in time when it is implemented and steals robbery behavior.
In addition, Cloud Server can determine the activity space of first object passenger according to the behavioural information of first object passenger
Activity space range in first object passenger is greater than third predetermined threshold value by range and travel frequency, and in activity space model
It encloses interior travel frequency and is positioned as the second target passenger greater than the passenger of the 4th preset threshold, the second target passenger is to be easy implementation to steal
The a suspect for stealing robbery behavior, has further reduced the amount detection that information Perception equipment detects crowd.
In addition, judging whether the second target passenger is potential by second target passenger's further progress identification
Threat passengers, if it is, thenad mark equipment sends danger early warning information in order to slap the holder of mark equipment to potential danger
Passenger is monitored and executes predetermined registration operation, prevents trouble before it happens, and environment is taken in the public transport for providing an equal safety for passenger.
It is consistent with above-mentioned Fig. 2, Fig. 3, embodiment shown in Fig. 4, referring to Fig. 5, Fig. 5 is provided by the embodiments of the present application
A kind of structural schematic diagram of Cloud Server 500, as shown, the Cloud Server 500 includes application processor 510, memory
520, communication interface 530 and one or more programs 521, wherein one or more of programs 521 are stored in above-mentioned deposit
In reservoir 520, and it is configured to be executed by above-mentioned application processor 510, one or more of programs 521 include for executing
The instruction of following steps；
Within public transport operation peak period, by being placed at least one information sense described in target public transit vehicle different location
Know that equipment obtains the face information of the target bus passenger；
Determine that the passenger that face information is not detected is first object passenger；
The behavioural information of the first object passenger is obtained by least one described information Perception equipment, and according to institute
It states behavioural information and determines that having the passenger of abnormal behaviour in the first object passenger is the second target passenger；
The second target passenger is monitored in real time by least one described information Perception equipment.
As can be seen that Cloud Server is first within public transport operation peak period, by being placed in target in the embodiment of the present application
At least one described information Perception equipment of public transit vehicle different location obtains the face information of the target bus passenger,
Secondly, determining that the passenger that face information is not detected is then first object passenger is set by least one described information Perception
The standby behavioural information for obtaining the first object passenger, and determine in the first object passenger have according to the behavioural information
The passenger of abnormal behaviour is the second target passenger, finally, by least one described information Perception equipment to second target
Passenger monitors in real time.Since Cloud Server can pass through at least one information Perception equipment within public transport operation peak period
The face information of every passenger on target bus is obtained, first determines the first object passenger that face information is not detected, then really
Determine the second target passenger for having abnormal behaviour in first object passenger, then the second target is multiplied by least one awareness apparatus
Visitor monitors in real time, and suspicious passenger is navigated in the second target passenger, is conducive in time by being monitored to it to it
Safety precaution is carried out, can be found in time when it is implemented and steals robbery behavior.
It is first object passenger side in the passenger that face information is not detected in the determination in a possible example
Face, the instruction in described program are specifically used for executing following operation: determining facial image clarity in face information less than the
At least one passenger of one preset threshold is the first object passenger；Alternatively, determining the facial image area in face information
It is the first object passenger less than at least one passenger of the second preset threshold；Alternatively, determining the facial table in face information
At least one passenger of feelings amimia variation in the first preset duration is the first object passenger.
In a possible example, determine in the first object passenger there is exception according to the behavioural information described
In terms of the passenger of behavior is the second target passenger, the instruction in described program is specifically used for executing following operation: according to the row
For information, the travel frequency and activity space range of each target passenger in the first object passenger are determined；Described in determination
Activity space range is greater than third predetermined threshold value, and the travel frequency within the scope of the activity space is greater than the 4th and presets
The behavior of threshold value is abnormal behaviour；Determining has the passenger of abnormal behaviour in the first object passenger be that second target multiplies
Visitor.
In a possible example, determine in the first object passenger there is exception according to the behavioural information described
In terms of the passenger of behavior is the second target passenger, the instruction in described program is specifically used for executing following operation: according to the row
For information, at least one zone of action of each passenger on the target bus in the first object passenger is determined,
In, the region where the target bus passenger is divided into multiple zone of action in advance；According to each passenger's
At least one zone of action judges whether there is abnormal behaviour in the first object passenger；If so, by multiplying with abnormal behaviour
Visitor is determined as the second target passenger.
In a possible example, in described at least one zone of action according to each passenger, described in judgement
In terms of whether having abnormal behaviour in first object passenger, the instruction in described program is specifically used for executing following operation: according to institute
At least one zone of action for stating each passenger determines the corresponding first zone of action number of each passenger；Determine each passenger
At least one zone of action in, stay time be greater than the first preset duration zone of action the second zone of action number；Meter
Calculate the ratio of second zone of action number and first zone of action number；Detecting that it is pre- that the ratio is greater than the 5th
If when threshold value, being determined as abnormal behaviour.
In a possible example, in described at least one zone of action according to each passenger, described in judgement
In terms of whether having abnormal behaviour in first object passenger, the instruction in described program is also used to execute following operation: according to described
At least one zone of action of each passenger determines in first object passenger with the presence or absence of in default hazardous activity region stop
Passenger；If so, determining whether the stay time in the default hazardous activity region of the passenger is greater than the second preset duration；?
When detecting that the stay time in the default hazardous activity region is greater than the second preset duration, it is determined as abnormal behaviour.
In a possible example, the Cloud Server also has communication connection with palm mark equipment foundation, described to pass through institute
It states after at least one information Perception equipment is monitored the second target passenger, the instruction in described program is also used to hold
The following operation of row: according to the face information of the second target passenger, identification is carried out to the second target passenger；True
After the identity information of the fixed second target passenger, determine whether the second target passenger has criminal history；If so, determining institute
Stating the second target passenger is potential danger passenger；Alternatively, inquiry suspicious figure's identity database, determines the second target passenger
It is judged as the number of suspicious figure；Detect the second target passenger be judged as suspicious figure number be greater than the 6th
When preset threshold, determine that the second target passenger is potential danger passenger；Danger early warning information is sent to the palm mark equipment
In order to which the holder of the palm mark equipment is monitored and executes predetermined registration operation, the danger according to the potential danger passenger
Dangerous warning information includes the real-time monitoring images of the potential danger passenger.
It is understood that electronic equipment is in order to realize the above functions, it comprises execute each corresponding hardware of function
Structure and/or software module.Those skilled in the art should be readily appreciated that, describe in conjunction with embodiment presented herein
Each exemplary unit and algorithm steps, the application can realize with the combining form of hardware or hardware and computer software.
Some function is executed in a manner of hardware or computer software driving hardware actually, specific application depending on technical solution
And design constraint.Professional technician can specifically realize described function to each using distinct methods
Can, but this realization is it is not considered that exceed scope of the present application.
The embodiment of the present application can carry out the division of functional unit according to above method example to electronic equipment, for example, can
With each functional unit of each function division of correspondence, two or more functions can also be integrated in a processing unit
In.Above-mentioned integrated unit both can take the form of hardware realization, can also realize in the form of software functional units.It needs
It is noted that be schematical, only a kind of logical function partition to the division of unit in the embodiment of the present application, it is practical real
It is current that there may be another division manner.
Fig. 6 is the functional unit composition block diagram of target locating set 600 involved in the embodiment of the present application.Control dress
It sets 600 and is applied to electronic equipment, including processing unit 601 and communication unit 602, wherein
The processing unit 601, for being established by the communication unit 602 and at least one described information Perception equipment
Communication connection；And be used within public transport operation peak period, by being placed in described in target public transit vehicle different location at least
One information Perception equipment obtains the face information of the target bus passenger；And face letter is not detected for determining
The passenger of breath is first object passenger；And multiply for obtaining the first object by least one described information Perception equipment
The behavioural information of visitor, and determine that having the passenger of abnormal behaviour in the first object passenger is second according to the behavioural information
Target passenger；And for being monitored in real time by least one described information Perception equipment to the second target passenger.
Wherein, the target locating set 600 can also include storage unit 603, for storing the program of electronic equipment
Code and data.The processing unit 601 can be processor, and the communication unit 602 can be touching display screen or receipts
Device is sent out, storage unit 603 can be memory.
As can be seen that Cloud Server is first within public transport operation peak period, by being placed in target in the embodiment of the present application
At least one described information Perception equipment of public transit vehicle different location obtains the face information of the target bus passenger,
Secondly, determining that the passenger that face information is not detected is then first object passenger is set by least one described information Perception
The standby behavioural information for obtaining the first object passenger, and determine in the first object passenger have according to the behavioural information
The passenger of abnormal behaviour is the second target passenger, finally, by least one described information Perception equipment to second target
Passenger monitors in real time.Since Cloud Server can pass through at least one information Perception equipment within public transport operation peak period
The face information of every passenger on target bus is obtained, first determines the first object passenger that face information is not detected, then really
Determine the second target passenger for having abnormal behaviour in first object passenger, then the second target is multiplied by least one awareness apparatus
Visitor monitors in real time, and suspicious passenger is navigated in the second target passenger, is conducive in time by being monitored to it to it
Safety precaution is carried out, can be found in time when it is implemented and steals robbery behavior.
It is first object passenger side in the passenger that face information is not detected in the determination in a possible example
Face, the processing unit 601 are specifically used for: determining the facial image clarity in face information extremely less than the first preset threshold
A few passenger is the first object passenger；Alternatively, the facial image area in determining face information is less than the second default threshold
At least one passenger of value is the first object passenger；Alternatively, the facial expression in determining face information is when first is default
At least one passenger of amimia variation is the first object passenger in long.
In a possible example, determine in the first object passenger there is exception according to the behavioural information described
In terms of the passenger of behavior is the second target passenger, the processing unit 601 is specifically used for: according to the behavioural information, determining institute
State the travel frequency and activity space range of each target passenger in first object passenger；And for determining that the activity is empty
Between range be greater than third predetermined threshold value, and the travel frequency within the scope of the activity space is greater than the 4th preset threshold
Behavior is abnormal behaviour；And for determining that having the passenger of abnormal behaviour in the first object passenger is that second target multiplies
Visitor.
In a possible example, determine in the first object passenger there is exception according to the behavioural information described
In terms of the passenger of behavior is the second target passenger, the processing unit 601 is specifically used for: according to the behavioural information, determining institute
State at least one zone of action of each passenger on the target bus in first object passenger, wherein the target is public
Region where handing over Vehicular occupant is divided into multiple zone of action in advance；And for according at least the one of each passenger
A zone of action judges whether there is abnormal behaviour in the first object passenger；And for if so, by with abnormal behaviour
Passenger is determined as the second target passenger.
In a possible example, in described at least one zone of action according to each passenger, described in judgement
In terms of whether having abnormal behaviour in first object passenger, the processing unit 601 is specifically used for: extremely according to each passenger
A few zone of action, determines the corresponding first zone of action number of each passenger；And for determining each passenger at least
In one zone of action, stay time is greater than the second zone of action number of the zone of action of the first preset duration；And it is used for
Calculate the ratio of second zone of action number and first zone of action number；And for detecting the ratio
When greater than five preset thresholds, it is determined as abnormal behaviour.
In a possible example, in described at least one zone of action according to each passenger, described in judgement
In terms of whether having abnormal behaviour in first object passenger, the processing unit 601 is also used to: at least according to each passenger
One zone of action determines in first object passenger with the presence or absence of the passenger stopped in default hazardous activity region；And if being used for
It is to determine whether the stay time in the default hazardous activity region of the passenger is greater than the second preset duration；And it is used for
When detecting that the stay time in the default hazardous activity region is greater than the second preset duration, it is determined as abnormal behaviour.
In a possible example, the Cloud Server also has communication connection with palm mark equipment foundation, described to pass through institute
It states after at least one information Perception equipment is monitored the second target passenger, institute's processing unit 601 is also used to:
According to the face information of the second target passenger, identification is carried out to the second target passenger；Determining described second
After the identity information of target passenger, determine whether the second target passenger has criminal history；If so, determining second target
Passenger is potential danger passenger；Alternatively, inquiry suspicious figure's identity database, determining that the second target passenger is judged as can
Doubt the number of personage；Detect the second target passenger be judged as suspicious figure number be greater than the 6th preset threshold
When, determine that the second target passenger is potential danger passenger；Danger early warning information is sent to the palm mark equipment in order to institute
The holder for stating palm mark equipment is monitored and executes predetermined registration operation, the danger early warning letter according to the potential danger passenger
Breath includes the real-time monitoring images of the potential danger passenger.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity
The computer program of subdata exchange, the computer program make computer execute any as recorded in above method embodiment
Some or all of method step, above-mentioned computer include electronic equipment.
The embodiment of the present application also provides a kind of computer program product, and above-mentioned computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, above-mentioned computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of either record method step in method embodiment.The computer program product can be a software installation
Packet, above-mentioned computer includes electronic equipment.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of said units, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
Above-mentioned unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment above method of the application
Step.And memory above-mentioned includes: USB flash disk, read-only memory (ROM, ReaP-Only Memory), random access memory
The various media that can store program code such as (RAM, RanPom Access Memory), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory
May include: flash disk, read-only memory (English: ReaP-Only Memory, referred to as: ROM), random access device (English:
RanPom Access Memory, referred to as: RAM), disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (10)
1. a kind of object localization method, which is characterized in that applied to the Cloud Server of public transport early warning system, public transport early warning system
System includes the Cloud Server and at least one information Perception equipment, and the Cloud Server and at least one described information Perception are set
Standby establish has communication connection, which comprises
Within public transport operation peak period, set by being placed at least one information Perception described in target public transit vehicle different location
The standby face information for obtaining the target bus passenger；
Determine that the passenger that face information is not detected is first object passenger；
The behavioural information of the first object passenger is obtained by least one described information Perception equipment, and according to the row
Determine that the passenger for having abnormal behaviour in the first object passenger is the second target passenger for information；
The second target passenger is monitored in real time by least one described information Perception equipment.
2. the method according to claim 1, wherein the passenger that face information is not detected in the determination is first
Target passenger, comprising:
Determine that facial image clarity in face information less than at least one passenger of the first preset threshold is first mesh
Scalar multiplication visitor；Alternatively,
Determine that facial image area in face information less than at least one passenger of the second preset threshold is the first object
Passenger；Alternatively,
Determine that at least one passenger of the amimia variation in the first preset duration of the facial expression in face information is described the
One target passenger.
3. method according to claim 1 or 2, which is characterized in that described to determine described first according to the behavioural information
Having the passenger of abnormal behaviour in target passenger is the second target passenger, comprising:
According to the behavioural information, the travel frequency and activity space of each target passenger in the first object passenger are determined
Range；
Determine that the activity space range is greater than third predetermined threshold value, and the travel frequency within the scope of the activity space
Behavior greater than the 4th preset threshold is abnormal behaviour；
Determining has the passenger of abnormal behaviour in the first object passenger be the second target passenger.
4. method according to claim 1 or 2, which is characterized in that described to determine described first according to the behavioural information
Having the passenger of abnormal behaviour in target passenger is the second target passenger, comprising:
According to the behavioural information, at least one of each passenger in the first object passenger on the target bus is determined
A zone of action, wherein the region where the target bus passenger is divided into multiple zone of action in advance；
According at least one zone of action of each passenger, judge whether there is abnormal behaviour in the first object passenger；
If so, the passenger with abnormal behaviour is determined as the second target passenger.
5. according to the method described in claim 4, it is characterized in that, described at least one behaviour area according to each passenger
Domain judges whether there is abnormal behaviour in the first object passenger, comprising:
According at least one zone of action of each passenger, the corresponding first zone of action number of each passenger is determined；
It determines at least one zone of action of each passenger, stay time is greater than the second of the zone of action of the first preset duration
Zone of action number；
Calculate the ratio of second zone of action number and first zone of action number；
When detecting that the ratio is greater than five preset thresholds, it is determined as abnormal behaviour.
6. according to the method described in claim 4, it is characterized in that, described at least one behaviour area according to each passenger
Domain judges whether there is abnormal behaviour in the first object passenger, comprising:
It is determined in first object passenger according at least one zone of action of each passenger with the presence or absence of default dangerous living
The passenger that dynamic region stops；
If so, determining whether the stay time in the default hazardous activity region of the passenger is greater than the second preset duration；
When detecting that the stay time in the default hazardous activity region is greater than the second preset duration, it is determined as abnormal row
For.
7. method according to claim 1-6, which is characterized in that the Cloud Server is also established with palm mark equipment
Have a communication connection, it is described the second target passenger is monitored by least one described information Perception equipment after, institute
State method further include:
According to the face information of the second target passenger, identification is carried out to the second target passenger；Described in determination
After the identity information of second target passenger, determine whether the second target passenger has criminal history；If so, determining described second
Target passenger is potential danger passenger；
Alternatively, inquiry suspicious figure's identity database, determines that the second target passenger is judged as the number of suspicious figure；?
When detecting that the second target passenger is judged as the number of suspicious figure greater than six preset thresholds, second mesh is determined
Scalar multiplication visitor is potential danger passenger；
Danger early warning information is sent to the palm mark equipment in order to which the holder for slapping mark equipment is according to the potential danger
Dangerous passenger is monitored and executes predetermined registration operation, and the danger early warning information includes the real time monitoring figure of the potential danger passenger
Picture.
8. a kind of target locating set, which is characterized in that applied to the Cloud Server of public transport early warning system, public transport early warning system
System includes the Cloud Server and at least one information Perception equipment, and the Cloud Server and at least one described information Perception are set
Standby establish has communication connection, and the target locating set includes processing unit and communication unit, wherein
The processing unit, for establishing communication connection by the communication unit and at least one described information Perception equipment；
And be used within public transport operation peak period, by being placed at least one information sense described in target public transit vehicle different location
Know that equipment obtains the face information of the target bus passenger；And it is for the determining passenger that face information is not detected
First object passenger；And the behavior for obtaining the first object passenger by least one described information Perception equipment is believed
Breath, and determine that having the passenger of abnormal behaviour in the first object passenger is the second target passenger according to the behavioural information；
And for being monitored in real time by least one described information Perception equipment to the second target passenger.
9. a kind of Cloud Server, which is characterized in that including processor, memory, communication interface, and one or more programs,
One or more of programs are stored in the memory, and are configured to be executed by the processor, described program packet
Include the instruction for executing the step in the method according to claim 1 to 7.
10. a kind of computer readable storage medium, which is characterized in that storage is used for the computer program of electronic data interchange,
In, the computer program makes computer execute the method according to claim 1 to 7.
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| CN201811598423.2A CN109815820A (en) | 2018-12-26 | 2018-12-26 | Object localization method and relevant apparatus |
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|---|---|---|---|
| CN201811598423.2A CN109815820A (en) | 2018-12-26 | 2018-12-26 | Object localization method and relevant apparatus |
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Application publication date: 20190528 |