CN114677819A - Personnel safety detection method and detection system - Google Patents
Personnel safety detection method and detection system Download PDFInfo
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- CN114677819A CN114677819A CN202011550846.4A CN202011550846A CN114677819A CN 114677819 A CN114677819 A CN 114677819A CN 202011550846 A CN202011550846 A CN 202011550846A CN 114677819 A CN114677819 A CN 114677819A
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- 238000012544 monitoring process Methods 0.000 claims abstract description 90
- 230000000694 effects Effects 0.000 claims abstract description 80
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- 238000004590 computer program Methods 0.000 claims description 10
- 230000002452 interceptive effect Effects 0.000 claims description 10
- 238000000034 method Methods 0.000 claims description 10
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19608—Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
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Abstract
The invention provides a personnel safety detection method and a personnel safety detection system, wherein the personnel safety detection method comprises the following steps: acquiring the head characteristics of a target person; according to the head characteristics of the target person, people according with the head characteristics are found out from all pictures monitored in the garden and determined as monitoring objects; simulating the moving track of the monitored object according to the time and the moving direction of the monitored object appearing in each picture; determining each picture of a monitored object as a control picture, counting a plurality of people with the largest occurrence frequency according to the characteristics of other people of each control picture, storing the characteristics of the people and marking the characteristics as suspected trailing people; simulating the movement track of the suspected trailing personnel according to the time and the moving direction of the suspected trailing personnel appearing in each control picture; and if the activity track of the suspected tailors is the same as that of the monitored object, sending tailgating information to a security room of the park. And people following the monitored object are found out and are informed to a security room of the park, so that the security effect is improved.
Description
Technical Field
The invention relates to the technical field of security monitoring, in particular to a personnel safety detection method and a personnel safety detection system.
Background
The existing park monitoring arranges security personnel to observe monitoring pictures for 24 hours, when the monitoring pictures are too many, people needing to be emphatically protected are difficult to be quickly and accurately found out from a plurality of monitoring pictures, and whether the people are followed by people or not is observed through the monitoring pictures, so that the defect of poor security is existed.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a personnel safety detection method and a personnel safety detection system.
One embodiment of the invention provides a personnel safety detection method, which comprises the following steps:
acquiring the head characteristics of a target person;
according to the head characteristics of the target person, people according with the head characteristics are found out from all pictures monitored in the garden and determined as monitoring objects;
simulating the moving track of the monitored object according to the time and the moving direction of the monitored object appearing in each picture;
determining each picture of the monitored object as a control picture, counting a plurality of persons with the largest occurrence frequency according to the characteristics of other persons of each control picture, storing the corresponding characteristics of the persons and marking the characteristics as suspected trailing persons;
simulating the movement track of the suspected trailing personnel according to the time and the moving direction of the suspected trailing personnel appearing in each control picture;
if the activity track of the suspected following person is the same as the activity track of the monitored object, sending following information to a security room of the park; the following information comprises head characteristics and activity tracks of the monitored object and character characteristics and activity tracks of suspected following persons.
Compared with the prior art, the personnel safety detection method provided by the invention has the advantages that the times of other people appearing in the same picture with the monitored object are counted, the activity tracks of a plurality of people with the largest appearing times are obtained and are compared with the activity tracks of the monitored object, so that personnel following the monitored object are found out and notified to a security room of a park, and the security effect of monitoring is improved.
Further, the finding out each picture of the object conforming to the head feature is determined as a control picture, a plurality of persons with the largest occurrence frequency are counted according to the features of other persons of each control picture, and after the corresponding person features are stored and marked as suspected trailing persons, the method further comprises the following steps:
and comparing the character features of the suspected tailors with the character features of the pre-recorded park workers, and canceling the mark of the suspected tailors if the matched character features are obtained. The misjudgment of the staff as suspected tailors is prevented.
Further, the finding out each picture of the object conforming to the head feature is determined as a control picture, a plurality of persons with the largest occurrence frequency are counted according to the features of other persons of each control picture, and after the corresponding person features are stored and marked as suspected trailing persons, the method further comprises the following steps:
acquiring behaviors of suspected tailors and monitoring objects in each monitoring picture, and canceling the mark of the suspected tailors if the suspected tailors and the monitoring objects have interactive behaviors in a plurality of control pictures; wherein the interactive behaviors comprise talking, holding hands together, and hooking shoulders and putting back. Prevent the person known by the monitored object from being wrongly judged as a suspected following person.
Further, if the activity track of the suspected tailors is the same as the activity track of the monitored object, the real-time monitoring numbers and pictures of the suspected tailors and the monitored object are respectively obtained, and the real-time monitoring numbers and pictures of the suspected tailors and the monitored object and the tailgating information are synchronously sent to a security room of the park. The method and the system allow workers in the security room to quickly obtain live pictures of suspected tailors and monitored objects.
Further, if the activity track of the suspected tailors is the same as the activity track of the monitored object, a tailgating notice is sent to the monitored object, wherein the tailgating notice comprises the character features and the activity track of the suspected tailors. And informing the information of the suspected following person to the monitored object.
Further, after sending a follow-up notice to the monitored object, receiving a reply instruction sent by the monitored object, canceling the mark of the suspected follow-up person if the reply instruction is a safety instruction, and sending the safety instruction to a security room of the park. The monitoring object can make a reply instruction according to the information of the suspected trailing personnel, so that the possibility of mistakenly and suspectedly trailing the personnel is reduced.
An embodiment of the present invention further provides a personal safety detection system, including:
the characteristic acquisition module is used for acquiring the head characteristics of the target person;
the monitoring object searching module is used for searching people according with the head characteristics from each picture monitored in the garden according to the head characteristics of the target person and determining the people as a monitoring object;
the monitoring object track acquisition module simulates the moving track of the monitoring object according to the time and the moving direction of the monitoring object appearing in each picture;
the suspected tailors searching module is used for searching each picture of the object which accords with the head characteristics, determining the picture as a control picture, counting a plurality of persons with the largest occurrence frequency according to the characteristics of other persons of each control picture, storing the corresponding person characteristics and marking the person characteristics as suspected tailors;
the suspected trail person track acquisition module simulates the activity track of the suspected trail person according to the time and the moving direction of the suspected trail person appearing in each control picture;
the trailing information sending module is used for sending trailing information to a security room of the park if the activity track of the suspected trailing person is the same as the activity track of the monitored object; the following information comprises head characteristics and activity tracks of the monitored object and character characteristics and activity tracks of suspected following persons.
Compared with the prior art, the personnel safety detection system can count the times of other people appearing in the same picture with the monitored object, obtain the activity track of a plurality of people with the largest occurrence times, compare the activity track with the activity track of the monitored object, find out the personnel following the monitored object and inform the personnel to a security room of a garden, and therefore the security effect of monitoring is improved.
And further comprising a trailing notification sending module, and if the activity track of the suspected trailing person is the same as the activity track of the monitored object, sending a trailing notification to the monitored object, wherein the trailing notification comprises the character characteristics and the activity track of the suspected trailing person. And informing the information of the suspected following person to the monitored object.
An embodiment of the present invention also provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the steps of the people safety detection method as described above.
An embodiment of the present invention further provides a computer device, which includes a storage, a processor, and a computer program stored in the storage and executable by the processor, wherein the processor executes the computer program to implement the steps of the human safety detection method as described above.
In order that the invention may be more clearly understood, specific embodiments thereof will be described hereinafter with reference to the accompanying drawings.
Drawings
Fig. 1 is a flowchart of a personnel safety detection method according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating the process of marking and determining the suspected tailors according to an embodiment of the present invention
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to fig. 1, which is a flowchart of a personnel safety detection method according to an embodiment of the present invention, the personnel safety detection method can find out personnel following a monitored object and notify a security room of a campus to improve a security effect, and the method includes the following steps:
s1: head features of the target person are acquired.
Acquiring head characteristics of a target person at multiple angles through a plurality of camera devices with the same type as the park monitoring type; preferably, the head features of the target person at the same angle are also obtained from a plurality of different distances; and associating the acquired head characteristics with personal information of the target person and entering the personal information into a database.
S2: and according to the head characteristics of the target person, searching out people according with the head characteristics from all pictures monitored in the park and determining the people as the monitored object.
S3: and simulating the moving track of the monitored object according to the time and the moving direction of the monitored object appearing in each picture.
Recording the time and the moving direction of the monitored object appearing in each picture, sequentially arranging each picture by combining the time sequence of the monitored object appearing in each picture, and simulating the moving track of the monitored object at the moving direction of the monitored object on each sequenced picture and the position corresponding to each picture.
S4: and determining each picture of the monitored object as a control picture, counting a plurality of persons with the largest occurrence frequency according to the characteristics of other persons of each control picture, storing the corresponding characteristics of the persons and marking the characteristics as suspected trailing persons.
Wherein, the number of the people with the largest number of occurrences is a positive integer which is greater than or equal to 1 and is set by the user.
Referring to fig. 2, in a possible embodiment, after the step S4, the method further includes the following steps:
b1: and comparing the character features of the suspected tailors with the character features of the pre-recorded park workers, and canceling the mark of the suspected tailors if the matched character features are obtained. The campus staff includes the staff on duty of any enterprise in the campus.
B2: acquiring behaviors of suspected tailors and monitoring objects in each monitoring picture, and canceling the mark of the suspected tailors if the suspected tailors and the monitoring objects have interactive behaviors in a plurality of control pictures; wherein the interactive behaviors include but are not limited to talking, holding hands, hooking shoulders and putting back.
S5: and simulating the movement track of the suspected trailing personnel according to the time and the moving direction of the suspected trailing personnel appearing in each control picture.
Recording the time and the moving direction of the monitoring object appearing in each control picture, sequentially arranging each control picture by combining the time sequence of the monitoring object appearing in each control picture, and simulating the moving direction of the monitoring object on each sequenced control picture and the position corresponding to each control picture to form the moving track of the monitoring object.
S6: if the activity track of the suspected tailors is the same as the activity track of the monitored object, sending tailgating information to a security room of the park; the following information comprises head characteristics and activity tracks of the monitored object and character characteristics and activity tracks of suspected following persons.
In a possible embodiment, if the activity track of the suspected tailgating person is the same as the activity track of the monitoring object, a tailgating notification is further sent to the monitoring object, where the tailgating notification includes the person characteristics and the activity track of the suspected tailgating person.
In a possible embodiment, after sending the trailing notification to the monitoring object, a reply instruction sent by the monitoring object is received, if the reply instruction is a safety instruction, the mark of the suspected trailing person is cancelled, and the safety instruction is sent to a security room of the campus. Preferably, after sending the trailing notification to the monitoring object, a countdown is started, and the count-down value does not exceed 5 minutes, for example, the count-down value may be 30 seconds, 45 seconds, 1 minute, 2 minutes, or 3 minutes. If a reply instruction sent by the monitoring object is received before the countdown is reset to zero, the mark of the suspected following person is cancelled, and the safety instruction is sent to a security room of the garden; otherwise, sending the trailing information to a security room of the park.
Compared with the prior art, the personnel safety detection method provided by the invention has the advantages that the times of other people appearing in the same picture with the monitored object are counted, the activity tracks of a plurality of people with the largest appearing times are obtained and are compared with the activity tracks of the monitored object, so that personnel following the monitored object are found out and notified to a security room of a park, and the security effect of monitoring is improved.
An embodiment of the present invention further provides a personal safety detection system, including:
the characteristic acquisition module is used for acquiring the head characteristics of the target person;
the monitoring object searching module is used for searching people according with the head characteristics from each picture monitored in the garden according to the head characteristics of the target person and determining the people as a monitoring object;
the monitoring object track acquisition module simulates the moving track of the monitoring object according to the time and the moving direction of the monitoring object appearing in each picture;
the suspected tailors searching module is used for searching each picture of the object which accords with the head characteristics, determining the picture as a control picture, counting a plurality of persons with the largest occurrence frequency according to the characteristics of other persons of each control picture, storing the corresponding person characteristics and marking the person characteristics as suspected tailors;
the suspected trail person track acquisition module simulates the activity track of the suspected trail person according to the time and the moving direction of the suspected trail person appearing in each control picture;
the trailing information sending module is used for sending trailing information to a security room of the park if the activity track of the suspected trailing person is the same as the activity track of the monitored object; the following information comprises head characteristics and activity tracks of the monitored object and character characteristics and activity tracks of suspected following persons.
Compared with the prior art, the personnel safety detection system can count the times of other people appearing in the same picture with the monitored object, obtain the activity track of a plurality of people with the largest occurrence times, compare the activity track with the activity track of the monitored object, find out the personnel following the monitored object and inform the security room of the garden, and therefore improve the security effect of monitoring.
In a possible embodiment, the monitoring system further includes a tailgating notification sending module, and if the activity track of the suspected tailgating person is the same as the activity track of the monitoring object, the monitoring system further sends a tailgating notification to the monitoring object, where the tailgating notification includes the person features and the activity track of the suspected tailgating person. And informing the information of the suspected following person to the monitored object.
An embodiment of the present invention also provides a computer-readable storage medium, which stores a computer program, which when executed by a processor implements the steps of the people safety detection method as described above, including:
s1: head features of the target person are acquired.
Acquiring head characteristics of a target person at multiple angles through a plurality of camera devices with the same type as the park monitoring type; preferably, the head features of the target person at the same angle are also obtained from a plurality of different distances; and associating the acquired head characteristics with the personal information of the target person and entering the head characteristics into a database.
S2: and searching out people according with the head characteristics from all pictures monitored in the garden according to the head characteristics of the target person, and determining the people as a monitored object.
S3: and simulating the moving track of the monitored object according to the time and the moving direction of the monitored object appearing in each picture.
Recording the time and the moving direction of the monitored object appearing in each picture, sequentially arranging each picture by combining the time sequence of the monitored object appearing in each picture, and simulating the moving track of the monitored object at the moving direction of the monitored object on each sequenced picture and the position corresponding to each picture.
S4: and determining each picture of the monitored object as a control picture, counting a plurality of persons with the largest occurrence frequency according to the characteristics of other persons of each control picture, storing the corresponding characteristics of the persons and marking the characteristics as suspected trailing persons.
Wherein, the number of the people with the largest number of occurrences is a positive integer which is greater than or equal to 1 and is set by the user.
In a possible embodiment, after the step S4, the method further includes the following steps:
b1: and comparing the character features of the suspected tailors with the character features of the pre-recorded park workers, and canceling the mark of the suspected tailors if the matched character features are obtained. The campus staff includes the staff on duty of any enterprise in the campus.
B2: acquiring behaviors of suspected followers and monitoring objects in each monitoring picture, and canceling the mark of the suspected followers if the suspected followers and the monitoring objects have interactive behaviors in a plurality of control pictures; wherein the interactive behaviors include but are not limited to talking, holding hands, hooking shoulders and putting back.
S5: and simulating the movement track of the suspected trailing personnel according to the time and the moving direction of the suspected trailing personnel appearing in each control picture.
Recording the time and the moving direction of the monitoring object appearing in each control picture, sequentially arranging each control picture by combining the time sequence of the monitoring object appearing in each control picture, and simulating the moving direction of the monitoring object on each sequenced control picture and the position corresponding to each control picture to form the moving track of the monitoring object.
S6: if the activity track of the suspected tailors is the same as the activity track of the monitored object, sending tailgating information to a security room of the park; the following information comprises head characteristics and activity tracks of the monitored object and character characteristics and activity tracks of suspected following persons.
In a possible embodiment, if the activity track of the suspected tailgating person is the same as the activity track of the monitoring object, a tailgating notification is further sent to the monitoring object, where the tailgating notification includes the person characteristics and the activity track of the suspected tailgating person.
In a possible embodiment, after sending the trailing notification to the monitoring object, a reply instruction sent by the monitoring object is received, if the reply instruction is a safety instruction, the mark of the suspected trailing person is cancelled, and the safety instruction is sent to a security room of the campus. Preferably, after sending the tail notification to the monitoring object, a countdown is started, and a value of the countdown does not exceed 5 minutes, for example, the value of the countdown may be 30 seconds, 45 seconds, 1 minute, 2 minutes, or 3 minutes. If a reply instruction sent by the monitoring object is received before the countdown is reset to zero, the mark of the suspected following person is cancelled, and the safety instruction is sent to a security room of the garden; otherwise, sending the trailing information to a security room of the park.
An embodiment of the present invention further provides a computer device, including a storage, a processor, and a computer program stored in the storage and executable by the processor, where the processor executes the computer program to implement the steps of the human security detection method as described above, including:
s1: head features of the target person are acquired.
Acquiring head characteristics of a target person at multiple angles through a plurality of camera devices with the same type as the park monitoring type; preferably, the head features of the target person at the same angle are also obtained from a plurality of different distances; and associating the acquired head characteristics with personal information of the target person and entering the personal information into a database.
S2: and searching out people according with the head characteristics from all pictures monitored in the garden according to the head characteristics of the target person, and determining the people as a monitored object.
S3: and simulating the moving track of the monitored object according to the time and the moving direction of the monitored object appearing in each picture.
Recording the time and the moving direction of the monitoring object appearing in each picture, sequentially arranging each picture by combining the time sequence of the monitoring object appearing in each picture, and simulating the moving track of the monitoring object in the moving direction of the monitoring object on each sequenced picture and the position corresponding to each picture.
S4: and determining each picture of the monitored object as a control picture, counting a plurality of people with the largest occurrence frequency according to the characteristics of other people of each control picture, storing the corresponding character characteristics and marking as suspected trailing people.
Wherein, the number of the people with the largest number of occurrences is a positive integer which is greater than or equal to 1 and is set by the user.
In a possible embodiment, after the step S4, the method further includes the following steps:
b1: and comparing the character features of the suspected tailors with the character features of the pre-recorded park workers, and canceling the mark of the suspected tailors if the matched character features are obtained. The campus staff includes the staff on duty of any enterprise in the campus.
B2: acquiring behaviors of suspected followers and monitoring objects in each monitoring picture, and canceling the mark of the suspected followers if the suspected followers and the monitoring objects have interactive behaviors in a plurality of control pictures; wherein the interactive behaviors include but are not limited to talking, holding hands, hooking shoulders and putting back.
S5: and simulating the movement track of the suspected trailing personnel according to the time and the moving direction of the suspected trailing personnel appearing in each control picture.
Recording the time and the moving direction of the monitoring object appearing in each control picture, sequentially arranging each control picture by combining the time sequence of the monitoring object appearing in each control picture, and simulating the moving direction of the monitoring object on each sequenced control picture and the position corresponding to each control picture to form the moving track of the monitoring object.
S6: if the activity track of the suspected tailors is the same as the activity track of the monitored object, sending tailgating information to a security room of the park; the following information comprises head characteristics and activity tracks of the monitored object and character characteristics and activity tracks of suspected following persons.
In a possible embodiment, if the activity track of the suspected tailgating person is the same as the activity track of the monitoring object, a tailgating notification is further sent to the monitoring object, where the tailgating notification includes the person characteristics and the activity track of the suspected tailgating person.
In a feasible embodiment, after the follow-up notification is sent to the monitoring object, a reply instruction sent by the monitoring object is received, if the reply instruction is a safety instruction, the mark of the suspected follow-up personnel is cancelled, and the safety instruction is sent to a security room of the park. Preferably, after sending the trailing notification to the monitoring object, a countdown is started, and the count-down value does not exceed 5 minutes, for example, the count-down value may be 30 seconds, 45 seconds, 1 minute, 2 minutes, or 3 minutes. If a reply instruction sent by the monitoring object is received before the countdown is reset to zero, the mark of the suspected following person is cancelled, and the safety instruction is sent to a security room of the garden; otherwise, sending the trailing information to a security room of the park.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A personnel safety detection method is characterized by comprising the following steps:
acquiring the head characteristics of a target person;
according to the head characteristics of the target person, people according with the head characteristics are found out from all pictures monitored in the garden and determined as monitoring objects;
simulating the moving track of the monitored object according to the time and the moving direction of the monitored object appearing in each picture;
determining each picture of the monitored object as a control picture, counting a plurality of persons with the largest occurrence frequency according to the characteristics of other persons of each control picture, storing the corresponding characteristics of the persons and marking the characteristics as suspected trailing persons;
simulating the movement track of the suspected trailing personnel according to the time and the moving direction of the suspected trailing personnel appearing in each control picture;
if the activity track of the suspected tailors is the same as the activity track of the monitored object, sending tailgating information to a security room of the park; the following information comprises head characteristics and activity tracks of the monitored object and character characteristics and activity tracks of suspected following persons.
2. The personnel safety detection method according to claim 1, wherein the steps of finding out each picture of the object that matches the head feature, determining the picture as a control picture, counting a plurality of people with the largest occurrence number according to the features of other people of each control picture, saving the corresponding people features, and marking the people as suspected following people further comprise:
and comparing the character features of the suspected tailors with the character features of the pre-recorded park workers, and canceling the mark of the suspected tailors if the matched character features are obtained.
3. The personnel safety detection method according to claim 2, wherein the step of finding out each picture of the object conforming to the head feature is determined as a control picture, counting a plurality of persons with the largest number of occurrences according to the features of other persons in each control picture, storing the corresponding person features and marking as suspected persons who follow up further comprises the steps of:
acquiring behaviors of suspected followers and monitoring objects in each monitoring picture, and canceling the mark of the suspected followers if the suspected followers and the monitoring objects have interactive behaviors in a plurality of control pictures; wherein the interactive behaviors comprise talking, holding hands together, and hooking shoulders and putting back.
4. The personnel safety detection method according to claim 3, characterized in that if the activity track of the suspected trailing personnel is the same as the activity track of the monitored object, the real-time monitoring numbers and pictures of the suspected trailing personnel and the monitored object are respectively obtained, and the real-time monitoring numbers and pictures and trailing information of the suspected trailing personnel and the monitored object are synchronously sent to a security room of a campus.
5. The personnel safety detection method according to claim 4, wherein if the activity track of the suspected tailgating personnel is the same as the activity track of the monitored object, a tailgating notification is further sent to the monitored object, wherein the tailgating notification includes the person characteristics and the activity track of the suspected tailgating personnel.
6. The personnel safety detection method according to claim 5, characterized in that after sending the follow-up notification to the monitored object, a reply instruction sent by the monitored object is received, if the reply instruction is a safety instruction, the mark of the suspected follow-up personnel is cancelled, and the safety instruction is sent to a security room of the campus.
7. A personal safety detection system, comprising:
the characteristic acquisition module is used for acquiring the head characteristics of the target person;
the monitored object searching module is used for searching people according with the head characteristics from each picture monitored in the park according to the head characteristics of the target person and determining the people as the monitored object;
the monitoring object track acquisition module simulates the moving track of the monitoring object according to the time and the moving direction of the monitoring object appearing in each picture;
the suspected tailors searching module is used for searching each picture of the object which accords with the head characteristics, determining the picture as a control picture, counting a plurality of persons with the largest occurrence frequency according to the characteristics of other persons of each control picture, storing the corresponding person characteristics and marking the person characteristics as suspected tailors;
the suspected trail person track acquisition module simulates the activity track of the suspected trail person according to the time and the moving direction of the suspected trail person appearing in each control picture;
the trailing information sending module is used for sending trailing information to a security room of the park if the activity track of the suspected trailing person is the same as the activity track of the monitored object; the following information comprises head characteristics and activity tracks of the monitored object and character characteristics and activity tracks of suspected following persons.
8. The personal safety detection system of claim 7, wherein: the monitoring system further comprises a trailing notification sending module, and if the activity track of the suspected trailing person is the same as the activity track of the monitoring object, the trailing notification sending module further sends a trailing notification to the monitoring object, wherein the trailing notification comprises the character characteristics and the activity track of the suspected trailing person.
9. A computer-readable storage medium storing a computer program, characterized in that: the computer program when executed by a processor implementing the steps of the method according to any one of claims 1 to 6.
10. A computer device, characterized by: comprising a memory, a processor and a computer program stored in said memory and executable by said processor, said processor implementing the steps of the method according to any of the claims 1-6 when executing said computer program.
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| CN110175593A (en) * | 2019-05-31 | 2019-08-27 | 努比亚技术有限公司 | Suspect object processing method, wearable device and computer readable storage medium |
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Application publication date: 20220628 |