CN113269144A - Traffic video monitoring system - Google Patents
Traffic video monitoring system Download PDFInfo
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- CN113269144A CN113269144A CN202110685332.8A CN202110685332A CN113269144A CN 113269144 A CN113269144 A CN 113269144A CN 202110685332 A CN202110685332 A CN 202110685332A CN 113269144 A CN113269144 A CN 113269144A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- 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
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Abstract
The invention is suitable for the field of computers, and provides a traffic video monitoring system, which acquires video information of people movement in a subway station through data acquisition equipment, then a behavior type determination module analyzes the current behavior type of personnel in the video information, sends early warning information to a corresponding prompt terminal according to the current behavior type of the personnel when the current behavior type does not meet the standard, and after receiving the early warning information, workers carrying the prompt terminal in the station can remind and correct the personnel whose behaviors do not meet the standard, the system can automatically identify and identify the behaviors of the personnel in the subway station and send the conditions of the behaviors which do not meet the standard to the workers in the station in time, thereby reducing the workload of the workers in the monitoring station, avoiding the frequent occurrence of safety accidents in the station due to the omission of potential safety hazard problems existing in the subway station due to negligence or untimely viewing, the operation efficiency is reduced, and the reliability of people on subway trips is reduced.
Description
Technical Field
The invention belongs to the field of computers, and particularly relates to a traffic video monitoring system.
Background
Transportation generally refers to a transportation mode for transferring people from one location to another location, mainly including transportation in three aspects of water, land and air, wherein land transportation gradually develops various transportation modes along with the development of technology, and rail transportation is one important transportation mode, such as trains, rail transportation, subways and the like.
For urban traffic congestion, the problem is relieved to a great extent by laying of subways, more and more cities now have subway rail traffic, and the number of lines of subways is increased continuously, so that the subways become an indispensable part of urban traffic modes in future.
The mode that now adopts video monitoring and artifical to patrol and examine mostly, operation situation supervises in the subway station, but the video monitoring equipment of installation is more in the subway station, the video data of gathering is comparatively huge, also can not look over the surveillance video at every moment to the staff in the control station, consequently often can be because neglected or look over untimely, omit the potential safety hazard problem that exists in the subway station, cause the interior incident of station frequent, reduce the operation efficiency, lead to people to reduce the degree of reliability of subway trip.
Disclosure of Invention
The embodiment of the invention provides a traffic video monitoring system, and aims to solve the problems that more video monitoring devices are installed in a subway station, the acquired video data are huge, and workers in the monitoring station cannot check monitoring videos all the time, so that potential safety hazards existing in the subway station are often omitted due to negligence or untimely checking, safety accidents in the station occur frequently, the operation efficiency is reduced, and the reliability of people on subway trips is reduced.
The embodiment of the invention is realized in such a way that a traffic video monitoring system comprises:
the data acquisition equipment is used for acquiring video information of people stream movement in the subway station and sending the video information to the behavior type determination module;
the behavior type determining module is used for receiving the video information sent by the data acquisition equipment and analyzing the current behavior type of the personnel in the video information;
the behavior type judging module is used for judging whether the current behavior type meets the specification or not; the system is also used for sending early warning information to the corresponding prompt end according to the current behavior category of the personnel when the current behavior category does not meet the standard;
the early warning information is used for informing subway staff to remind people with unqualified behaviors to correct.
As a modified scheme of the invention: the system further comprises:
the feedback information receiving module is used for receiving processing information fed back by the prompt end;
the correction result checking module is used for judging whether the behavior category of the person receiving the processing information after correction meets the standard or not; the system is also used for sending mandatory execution information to the execution end when the behavior category of the personnel after correction does not meet the specification;
and the mandatory execution information is used for informing subway security personnel to recommend again and recommend to leave the personnel who are still not corrected after the warning.
As a further improvement of the invention: the behavior category determination module specifically includes:
the information acquisition submodule is used for acquiring dynamic change conditions of people and objects around the people in the video information;
and the behavior category determining submodule is used for determining the current behavior category of the person according to the dynamic change conditions of the person and the surroundings of the person.
As a further scheme of the invention: the information acquisition sub-module specifically includes:
the article information acquisition unit is used for acquiring article information around the person in the video information;
the gravity center information acquisition unit is used for acquiring the gravity center change information of the personnel in the video information;
the moving direction information acquisition unit is used for acquiring the moving direction information of the personnel in the video information and the moving direction information of the escalator appearing in the video information;
and the body and sound information acquisition unit is used for acquiring the body information and/or sound decibel information of the adjacent multiple persons in the video information.
As a further scheme of the invention: the behavior category determination submodule specifically includes:
an item information determination unit for determining whether or not item information around a person includes a wheelchair and/or a stroller; the system is also used for determining that the person is a special passenger when the information of the articles around the person contains the wheelchair or/and the baby carriage;
the gravity center change judging unit is used for judging whether the change fluctuation of the gravity center of the person exceeds a fluctuation range value;
when the change fluctuation of the center of gravity of the person exceeds the fluctuation range value, further judging whether the change direction of the center of gravity of the person is bidirectional change; the station is also used for determining that the personnel do violent movement in the station when the change direction of the gravity center of the personnel is bidirectional change; the device is also used for determining that the person squats or falls down in the station when the change direction of the gravity center of the person is unidirectional;
the movement direction judging unit is used for judging whether the personnel advancing direction information is the same as the escalator advancing direction information or not; the escalator control system is also used for determining that the person moves in the opposite direction on the escalator when the information of the moving direction of the person is different from the information of the moving direction of the escalator;
the body and sound information judging unit is used for judging whether the body information of a plurality of people is staggered in unit time and/or whether the sound decibel information exceeds a set value; the device is also used for determining the person to seek the aggressive aids in the station when the body information of a plurality of persons has interleaving and/or sound decibel information exceeding a set value in unit time;
as an optimization scheme of the invention: the behavior category judgment module specifically includes:
the position determining submodule is used for analyzing the positions of the personnel in the video information;
the behavior type judging submodule is used for judging whether the current behavior type of the personnel is allowed to occur at the position where the personnel is located; and the method is also used for judging the current behavior of the personnel to be the behavior which is not in accordance with the specification when the current behavior category of the personnel can not occur at the position where the personnel is positioned.
And the early warning signal sending submodule is used for sending early warning information to the corresponding prompt terminal according to the current behavior category of the personnel when the current behavior category does not meet the standard.
As a further scheme of the invention: the position determination submodule specifically comprises;
the monitoring equipment position information calling unit is used for calling the position information of the monitoring equipment which uploads the video information;
the nominal object analysis unit is used for analyzing obvious nominal object names appearing in the video;
and the position confirmation unit is used for confirming the position information of the personnel according to the name of the marked article and the position information of the monitoring equipment.
As a further scheme of the invention: the early warning signal sending submodule specifically comprises:
the help instruction sending unit is used for sending a help instruction to the prompting end when the behavior type is special passenger travel;
the obstruction instruction sending unit is used for sending an obstruction instruction to the prompt end when the behavior category is violent movement or retrograde movement on the escalator or aggressive pursuit in the station;
and the checking instruction sending unit is used for sending a checking instruction to the prompting terminal when the behavior type is squatting in the station or falling.
The invention has the beneficial effects that: acquiring video information of people stream movement in the subway station through data acquisition equipment, analyzing the current behavior category of people in the video information through a behavior category determination module, and when the current behavior category does not meet the standard, the early warning information is sent to the corresponding prompt terminal according to the current behavior category of the personnel, after the early warning information is received by the personnel carrying the prompt terminal in the station, the personnel whose behavior does not meet the standard can be reminded to correct the behavior, the system can automatically identify and distinguish the behavior of personnel in the subway station, and timely send the condition that the behavior does not conform to the standard to the personnel in the station, reduces the workload of the personnel in the monitoring station, the problem that due to negligence or untimely checking, potential safety hazards existing in a subway station are omitted, frequent safety accidents in the station are caused, operation efficiency is reduced, and reliability of people on subway trips is reduced is avoided.
Drawings
FIG. 1 is a schematic diagram of an implementation environment of a traffic video monitoring system;
FIG. 2 is a schematic diagram of an internal structure of a traffic video monitoring system;
FIG. 3 is a schematic diagram of the internal structure of a part of modules in a traffic video monitoring system;
FIG. 4 is a schematic diagram of the internal structure of each sub-module in a behavior category determination module;
fig. 5 is a schematic diagram of an internal structure of each sub-module in the behavior category determination module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention obtains the video information of people stream movement in the subway station through the data acquisition equipment 100, then the behavior type determining module 200 analyzes the current behavior type of the personnel in the video information, when the current behavior type does not meet the standard, the early warning information is sent to the corresponding prompt terminal 400 according to the current behavior category of the personnel, after the staff carrying the prompt terminal 400 in the station receives the early warning information, the staff whose behaviors do not meet the specification can be reminded to correct, the system can automatically identify and distinguish the behavior of personnel in the subway station, and timely send the condition that the behavior does not conform to the standard to the personnel in the station, reduces the workload of the personnel in the monitoring station, the problem that due to negligence or untimely checking, potential safety hazards existing in a subway station are omitted, frequent safety accidents in the station are caused, operation efficiency is reduced, and reliability of people on subway trips is reduced is avoided.
Fig. 1 is a schematic diagram illustrating an implementation environment of a traffic video monitoring system according to the present invention, wherein a module integration device shown in the diagram includes a behavior category determining module 200, a behavior category determining module 300, a feedback information receiving module 500, and a correction result verifying module 600, and a plurality of scattered modules are sequentially and uniformly installed in a housing, so as to facilitate installation, use, and later maintenance. The data acquisition equipment 100 and the module integrated equipment are in wired or wireless communication, real-time transmission of videos is achieved, wireless communication is preferably conducted between the module integrated equipment and the prompt end 400, the module integrated equipment sends processed information to the prompt end 400 and receives information fed back by the prompt end 400, more than one prompt end 400 is distributed to workers at all positions in a station, and therefore when early warning information is sent out, the workers can arrive at the process in the shortest time.
Fig. 2 is a schematic diagram illustrating an internal structure of a traffic video monitoring system according to an embodiment of the present invention, where the system includes:
the data acquisition equipment 100 is used for acquiring video information of people stream movement in the subway station and sending the video information to the behavior type determination module 200; the data acquisition device 100 may be a camera, video or other monitoring device that is installed at an entrance or exit of a subway station, near an entry or exit gate, near an escalator, or other location that requires coverage and monitoring.
And the behavior category determining module 200 is configured to receive the video information sent by the data collecting device 100, and analyze the current behavior category of the person in the video information. Various behaviors, such as running and alarming in the station, crowd in the station, going backwards on an escalator or escaping, falling down and the like, can occur to people flowing in the station at any time, and the behaviors are identified one by one according to the content of the video, so that corresponding processing can be performed on different behavior types.
A behavior category determining module 300, configured to determine whether a current behavior category meets a specification; the system is also used for sending early warning information to the corresponding prompt terminal 400 according to the current behavior category of the personnel when the current behavior category does not meet the specification; the early warning information is used for informing subway staff to remind people with unqualified behaviors to correct. For example, when people move in a wrong direction in the stream of people, the danger is less likely to occur, but when people move in a wrong direction on an escalator, other people standing on the escalator may be pushed down from the escalator, so that other people may have danger on the escalator, and even a series of treading events and the like may be caused.
The prompt terminal 400 is carried by the staff in the station or is arranged at a fixed position in the station.
A feedback information receiving module 500, configured to receive processing information fed back by the prompt end 400. After the staff who holds the tip 400 points and stops the behavior of the staff in the station, a piece of processing information is fed back to the system, and the processing information is mainly used for informing that the mismatching behavior is processed, so that the system can store or eliminate the processed early warning information, the accumulation of the early warning information is prevented, and the monitoring staff can not clearly distinguish which early warning information is processed.
The correction result checking module 600 is configured to determine whether the corrected behavior category of the person receiving the processing information meets the specification; and the system is also used for sending the mandatory execution information to the execution end when the modified behavior category of the personnel still does not meet the specification. And the mandatory execution information is used for informing subway security personnel to recommend again and recommend to leave the personnel who are still not corrected after the warning. When the personnel in the station still do not correct the non-compliant behavior after being reminded and directed by the staff, the personnel is recommended again and departed from the station, or taken away by security personnel for ideological education, or sent to relevant units by the security personnel forcibly. The execution terminal is carried by security personnel in the station so as to receive the mandatory execution information in time.
Fig. 3 is a schematic diagram illustrating an internal structure of a part of modules in a traffic video monitoring system according to an embodiment of the present invention, where the behavior category determining module 200 specifically includes:
and the information acquisition submodule 210 is used for acquiring dynamic change conditions of people and people's surroundings in the video information. The method and the device have the advantages that the environmental information around the personnel in the station is obtained, such as whether the personnel carry large luggage or not, whether the personnel take wheelchairs or not and the like are obtained, the relationship between the personnel in the station and the environment is conveniently identified, and such as whether the traveling directions of the personnel and the escalator are consistent or not and the like are obtained.
And the behavior category determining submodule 220 is used for determining the current behavior category of the person according to the dynamic change situation of the person and the surroundings of the person. For example, when identifying whether the people in the station take the escalator or not in the reverse direction, the action direction of the people in the station and the traveling direction of the escalator need to be combined; for example, the normal phenomenon is that the two people in the station rub the shoulders, but the two people in the station fight and frequently alternate on the limbs, and at the moment, whether the behavior is in compliance or not needs to be judged according to the behavior between people.
Fig. 4 is a schematic diagram illustrating an internal structure of each sub-module in the behavior category determining module according to an embodiment of the present invention, where the information obtaining sub-module 210 specifically includes:
an item information acquisition unit 211 configured to acquire item information around the person in the video information.
A center of gravity information obtaining unit 212 for obtaining center of gravity change information of the person in the video information. The personnel in the station can be further judged whether to walk normally or to be in a state of violent running, squatting or falling.
A moving direction information obtaining unit 213, configured to obtain the direction information of the person traveling in the video information and the direction information of the escalator traveling in the video information. Whether the personnel are in a retrograde motion state or not is further judged conveniently, and when the flow of people is large, the retrograde motion can cause the phenomenon that the flow of people is not smooth and congestion is generated.
And a limb and sound information obtaining unit 214, configured to obtain limb information and/or sound decibel information of the adjacent multiple persons in the video information. It is convenient to further determine whether people are in a violent conflict or are in a dispute or loud crowd. Although the unit has the dual functions of acquiring the voice and the body movement, in actual application, only the body movement information or only the voice information may be acquired according to the content embodied in the video, and both the information may not be acquired or acquired at the same time, and even if any desired information is not acquired, the normal operation of the unit is not affected.
It should be further explained that the behavior category determining sub-module 220 specifically includes:
an item information determination unit 221 configured to determine whether or not item information around a person includes a wheelchair and/or a stroller; and also for determining a person as a special passenger when the information on the items surrounding the person includes a wheelchair or/and a baby carriage. Besides, whether a lot of large luggage exists around the person can be identified, and whether the trip person needs help or not is judged.
A center-of-gravity change determination unit 222 for determining whether the change fluctuation of the center of gravity of the person exceeds a fluctuation range value; the device is also used for further judging whether the change direction of the gravity center of the personnel is bidirectional change or not when the change fluctuation of the gravity center of the personnel exceeds the fluctuation range value; the station is also used for determining that the personnel do violent movement in the station when the change direction of the gravity center of the personnel is bidirectional change; and the device is also used for determining that the person squats or falls in the station when the change direction of the gravity center of the person is unidirectional. The fluctuation range value is used for judging the degree of fluctuation of the gravity center of the person, the gravity center can slightly fluctuate up and down because the person walks, but the fluctuation range is not large, but when the person runs, the fluctuation of the feet and the body can be increased, and when the person falls down or squats down, the gravity center position can change suddenly, and the behaviors can be distinguished according to the difference of the positions of the gravity center.
A movement direction judgment unit 223 for judging whether the personnel traveling direction information is the same as the escalator traveling direction information; the system is also used for determining that the personnel move in the wrong direction on the escalator when the personnel moving direction information is different from the escalator moving direction information, and in addition, whether the single personnel move in the wrong direction can be judged according to the personal moving direction and the people flow moving direction.
A limb and sound information determining unit 224, configured to determine whether the limb information of multiple persons is staggered and/or whether the sound decibel information exceeds a set value within a unit time; and is also used for determining the person to seek the aggressive sexual intercourse in the station when the body information of a plurality of persons has interleaving in a unit time and/or the sound decibel information exceeds a set value. Because frequent limb staggering can be generated among people when people play the rack, whether people are in a fighting state or not can be distinguished according to the characteristic, and whether people are in long-term contact or not can also be distinguished in some special periods, such as epidemic situations of epidemic diseases, so that the safety distance between people can be reminded, and the spread and infection of diseases and the like can be avoided.
Fig. 3 is a schematic diagram illustrating an internal structure of a part of modules in a traffic video monitoring system according to an embodiment of the present invention, where the behavior category determining module 300 specifically includes:
and the position determining submodule 310 is used for analyzing the position of the person in the video information. A piece of video must be uploaded by a data capture device 100, and the location of the video content can be known from the location of the data capture device 100.
A behavior category judgment sub-module 320, configured to judge whether the current behavior category of the person is allowed to occur at a location where the person is located; and the method is also used for judging the current behavior of the personnel to be the behavior which is not in accordance with the specification when the current behavior category of the personnel can not occur at the position where the personnel is positioned. For example, retrograde motion, which can occur to some extent on level ground, but certainly not on escalators; further, for example, a squat operation may occur at a position not interfering with the movement of the stream of people, but may not occur at the gate, and a squat operation may occur at the gate, which may be a phenomenon of ticket evasion.
And the early warning signal sending submodule 330 is configured to send early warning information to the corresponding prompt terminal according to the current behavior category of the person when the current behavior category does not meet the specification.
Fig. 5 is a schematic diagram illustrating an internal structure of each sub-module in the behavior category determining module according to an embodiment of the present invention, where the position determining sub-module 310 specifically includes;
and a monitoring device location information retrieving unit 311, configured to retrieve location information of a monitoring device that uploads video information. The data acquisition device 100 that uploads the video is located in the vicinity of the venue where the video content is generated.
And a tagged item analysis unit 312 for analyzing the apparent tagged item name appearing in the video. In order to further specify the position of the action occurrence place, the action occurrence place can be specified near a certain marked object by identifying a marked object in the video, such as an escalator, a seat, a garbage can, a toilet, a gate and the like, so that the staff in the station can conveniently arrive at the action occurrence place at the first time.
And the position confirmation unit 313 is used for confirming the position of the personnel according to the name of the marked article and the position information of the monitoring equipment, and the position confirmation unit and the position information are combined to determine the specific position of the action.
It should be further explained that the warning signal sending sub-module 330 specifically includes:
and the help instruction sending unit 331 is configured to send a help instruction to the prompt end when the behavior category is a special passenger trip. The help instruction reminds the personnel in the station near the escalator, near the brake and near the train entrance and exit to help in time.
An obstruction instruction sending unit 332 for sending an obstruction instruction to the prompt terminal when the behavior category is strenuous exercise or retrograde on the escalator or an aggressive pursuit. The dissuading instruction reminds the staff in the station to dissuade or stop the related behaviors, and prevents the situation from deteriorating.
And the checking instruction sending unit 333 is configured to send a checking instruction to the prompt end when the behavior category is squat or falling in the station. And the checking instruction reminds a worker to go to a behavior place for patrol, find out the reason of the behavior and process the reason. The supporting instruction, the dissuading instruction and the checking instruction all belong to one type of early warning information.
In order to load the above method and system to operate successfully, the system may include more or less components than those described above, or combine some components, or different components, in addition to the various modules described above, for example, input/output devices, network access devices, buses, processors, memories, and the like.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware sub-module, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being the client or the control center of the social system, and various interfaces and lines connecting the various parts of the overall user terminal.
The memory may be used to store a computer and system programs and/or modules, and the processor may implement various functions of the client by running or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth-state display system (e.g., product information acquisition templates corresponding to different product types, product information that needs to be issued by different product providers, etc.), and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. A traffic video surveillance system, the system comprising:
the data acquisition equipment is used for acquiring video information of people stream movement in the subway station and sending the video information to the behavior type determination module;
the behavior type determining module is used for receiving the video information sent by the data acquisition equipment and analyzing the current behavior type of the personnel in the video information;
the behavior type judging module is used for judging whether the current behavior type meets the specification or not; the system is also used for sending early warning information to the corresponding prompt end according to the current behavior category of the personnel when the current behavior category does not meet the standard;
the early warning information is used for informing subway staff to remind people with unqualified behaviors to correct.
2. The traffic video surveillance system of claim 1, further comprising:
the feedback information receiving module is used for receiving processing information fed back by the prompt end;
the correction result checking module is used for judging whether the behavior category of the person receiving the processing information after correction meets the standard or not; the system is also used for sending mandatory execution information to the execution end when the behavior category of the personnel after correction does not meet the specification;
and the mandatory execution information is used for informing subway security personnel to recommend again and recommend to leave the personnel who are still not corrected after the warning.
3. The traffic video monitoring system according to claim 1, wherein the behavior category determination module specifically comprises:
the information acquisition submodule is used for acquiring dynamic change conditions of people and objects around the people in the video information;
and the behavior category determining submodule is used for determining the current behavior category of the person according to the dynamic change conditions of the person and the surroundings of the person.
4. The traffic video monitoring system according to claim 3, wherein the information acquisition sub-module specifically comprises:
the article information acquisition unit is used for acquiring article information around the person in the video information;
the gravity center information acquisition unit is used for acquiring the gravity center change information of the personnel in the video information;
the moving direction information acquisition unit is used for acquiring the moving direction information of the personnel in the video information and the moving direction information of the escalator appearing in the video information;
and the body and sound information acquisition unit is used for acquiring the body information and/or sound decibel information of the adjacent multiple persons in the video information.
5. The traffic video monitoring system according to claim 4, wherein the behavior category determination sub-module specifically comprises:
an item information determination unit for determining whether or not item information around a person includes a wheelchair and/or a stroller; the system is also used for determining that the person is a special passenger when the information of the articles around the person contains the wheelchair or/and the baby carriage;
the gravity center change judging unit is used for judging whether the change fluctuation of the gravity center of the person exceeds the fluctuation range value or not and further judging whether the change direction of the gravity center of the person is bidirectional change or not when the change fluctuation of the gravity center of the person exceeds the fluctuation range value; the station is also used for determining that the personnel do violent movement in the station when the change direction of the gravity center of the personnel is bidirectional change; the device is also used for determining that the person squats or falls down in the station when the change direction of the gravity center of the person is unidirectional;
the movement direction judging unit is used for judging whether the personnel advancing direction information is the same as the escalator advancing direction information or not; the escalator control system is also used for determining that the person moves in the opposite direction on the escalator when the information of the moving direction of the person is different from the information of the moving direction of the escalator;
the body and sound information judging unit is used for judging whether the body information of a plurality of people is staggered in unit time and/or whether the sound decibel information exceeds a set value; and is also used for determining the person to seek the aggressive sexual intercourse in the station when the body information of a plurality of persons has interleaving in a unit time and/or the sound decibel information exceeds a set value.
6. The traffic video monitoring system according to claim 5, wherein the behavior category determination module specifically comprises:
the position determining submodule is used for analyzing the positions of the personnel in the video information;
the behavior type judging submodule is used for judging whether the current behavior type of the personnel is allowed to occur at the position where the personnel is located; the method is also used for judging that the current behavior of the personnel is a behavior which is not in accordance with the specification when the current behavior category of the personnel can not occur at the position where the personnel is located;
and the early warning signal sending submodule is used for sending early warning information to the corresponding prompt terminal according to the current behavior category of the personnel when the current behavior category does not meet the standard.
7. The traffic video monitoring system according to claim 6, wherein the position determination submodule specifically includes;
the monitoring equipment position information calling unit is used for calling the position information of the monitoring equipment which uploads the video information;
the nominal object analysis unit is used for analyzing obvious nominal object names appearing in the video;
and the position confirmation unit is used for confirming the position information of the personnel according to the name of the marked article and the position information of the monitoring equipment.
8. The traffic video monitoring system according to claim 6, wherein the early warning signal sending sub-module specifically comprises:
the help instruction sending unit is used for sending a help instruction to the prompting end when the behavior type is special passenger travel;
the obstruction instruction sending unit is used for sending an obstruction instruction to the prompt end when the behavior category is violent movement or retrograde movement on the escalator or aggressive pursuit in the station;
and the checking instruction sending unit is used for sending a checking instruction to the prompting terminal when the behavior type is squatting in the station or falling.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110685332.8A CN113269144A (en) | 2021-06-21 | 2021-06-21 | Traffic video monitoring system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110685332.8A CN113269144A (en) | 2021-06-21 | 2021-06-21 | Traffic video monitoring system |
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| CN113269144A true CN113269144A (en) | 2021-08-17 |
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| CN107693022A (en) * | 2017-09-27 | 2018-02-16 | 福建工程学院 | A kind of method and device for detecting falling over of human body |
| CN112861621A (en) * | 2020-12-31 | 2021-05-28 | 桂林海威科技股份有限公司 | Subway passenger behavior identification information system, method, medium and equipment |
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| JP2012011174A (en) * | 2010-06-01 | 2012-01-19 | Aisin Seiki Co Ltd | In-bed state determination device |
| CN105825198A (en) * | 2016-03-29 | 2016-08-03 | 深圳市佳信捷技术股份有限公司 | Pedestrian detection method and device |
| CN106127148A (en) * | 2016-06-21 | 2016-11-16 | 华南理工大学 | A kind of escalator passenger's unusual checking algorithm based on machine vision |
| CN107693022A (en) * | 2017-09-27 | 2018-02-16 | 福建工程学院 | A kind of method and device for detecting falling over of human body |
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Application publication date: 20210817 |