CN113269016A - Identification method and related device for group gathering scene of key place - Google Patents
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Abstract
The invention relates to the technical field of face recognition, in particular to a recognition method and a related device for a group gathering scene in a key place. The identification method of the focus place group gathering scene comprises the following steps: acquiring a monitoring video; identifying information of people present within the surveillance video; the information of the person includes: social attributes of the person; judging whether the number of the persons with the same social attribute in a preset time exceeds a preset number or not; if the number exceeds the preset number, the occurrence of the gathering of key personnel is determined. Therefore, when the problem of the gathering of the key crowd occurs, the situation can be monitored in time by the method so as to be convenient for further controlling the situation. In the scheme that this application provided, solved the problem of control key crowd gathering, avoided again simultaneously extravagant a large amount of manpower and materials in the in-process of control key crowd gathering.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to a recognition method and a related device for a group gathering scene in a key place.
Background
Nowadays, with the progress of science and technology and the development of society, people have higher and higher requirements on the aspect of comprehensive basic level. In real life, important attention needs to be paid to important persons. However, the focus on these key personnel is very labor intensive. And assigning specific personnel to stare at these key personnel requires too much manpower and is not practical.
Disclosure of Invention
In view of this, a method and a related apparatus for identifying a group aggregation scene of a key location are provided to solve the problems in the related art.
The invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a method for identifying a group gathering scene of a key location and a related device, where the method includes:
acquiring a monitoring video;
identifying information of people present within the surveillance video; the information of the person includes: social attributes of the person;
judging whether the number of the persons with the same social attribute in a preset time exceeds a preset number or not;
if the number exceeds the preset number, the occurrence of the gathering of key personnel is determined.
Optionally, the information identifying the persons appearing in the surveillance video; the information of the person includes: social attributes of the person; the method comprises the following steps:
building a key personnel information base; the information of key personnel is stored in the key personnel information base;
and comparing the face structural data appearing in the video with the face structural data stored in the key personnel information base, and identifying the information of personnel stored in the key personnel information base.
Optionally, judging whether the number of people with the same social attribute in a preset time exceeds a preset number; the method comprises the following steps:
storing information of the identified person;
after the identification of one person is completed, judging whether the number of the identified persons exceeds the preset number within the preset time before the time starting point by taking the time for identifying the person as the time starting point;
if the judgment result is yes, judging whether the number of the identified persons with the same social attribute exceeds the preset number within the preset time before the time starting point;
if the judgment result is yes, the number of the persons with the same social attribute in the preset time exceeds the preset number.
Optionally, the preset time is ten minutes; the preset number is five.
Optionally, the method further includes:
after gathering of key personnel groups, alarm information is sent to preset related personnel.
In a second aspect, the present application provides an apparatus for identifying a focus site group gathering scene, including:
the acquisition module is used for acquiring a monitoring video;
the identification module is used for identifying information of personnel appearing in the monitoring video; the information of the person includes: social attributes of the person;
the judging module is used for judging whether the number of the persons with the same social attribute in a preset time exceeds the preset number;
and the identifying module is used for identifying that the key personnel group aggregation occurs if the number exceeds the preset number.
In a third aspect, the present application provides an apparatus for identifying a focus site group gathering scene, including:
a processor, and a memory coupled to the processor;
the memory is used for storing a computer program, and the computer program is at least used for executing the identification method of the focus site group gathering scene in any one of the application;
the processor is used for calling and executing the computer program in the memory.
In a fourth aspect, the present application provides a storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps in the identification method for focus site group aggregation scenes provided by the present application are realized.
In a fifth aspect, a computer program product comprising computer program/instructions is characterized in that the computer program/instructions, when executed by a processor, implement the steps of the method for identifying a group of workplaces gathering scenario as provided in the present application.
By adopting the technical scheme, firstly, a monitoring video is obtained; identifying information of people present within the surveillance video; the information of the person includes: social attributes of the person; judging whether the number of the persons with the same social attribute in a preset time exceeds a preset number or not; if the number exceeds the preset number, the occurrence of the gathering of key personnel is determined. Therefore, when the problem of the gathering of the key crowd occurs, the situation can be monitored in time by the method so as to be convenient for further controlling the situation. In the scheme that this application provided, solved the problem of control key crowd gathering, avoided again simultaneously extravagant a large amount of manpower and materials in the in-process of control key crowd gathering.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for identifying a focus site group gathering scene according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for identifying a focus site group gathering scene according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an identification apparatus for a group gathering scene of a key location according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an identification device for a focus site group gathering scene according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
First, an application scenario of the embodiment of the present invention is explained, and nowadays, with the progress of science and technology and the development of society, people have an increasingly high demand for comprehensive basic aspects. In particular, in the aspect of comprehensive treatment of the basic level, important attention needs to be paid to important personnel. However, the focus on these key personnel is very labor intensive. And assigning specific personnel to stare at these key personnel requires too much manpower and is not practical. The present application proposes a corresponding solution to this problem.
Examples
Fig. 1 is a flowchart of a method for identifying a focus site group aggregation scene according to an embodiment of the present invention, where the method may be executed by an apparatus for identifying a focus site group aggregation scene according to an embodiment of the present invention. Referring to fig. 1, the method may specifically include the following steps:
s101, acquiring a monitoring video;
s102, identifying information of personnel appearing in the monitoring video; the information of the person includes: social attributes of the person;
information identifying people present within the surveillance video; the information of the person includes: social attributes of the person; the method comprises the following steps:
building a key personnel information base; the information of key personnel is stored in the key personnel information base;
and comparing the face structural data appearing in the video with the face structural data stored in the key personnel information base, and identifying the information of personnel stored in the key personnel information base.
It should be noted that, the video face analysis technology mainly analyzes the video content shot by the camera, collects the face appearing in the picture, compares the face with the face in the personnel library, and completes the face recognition when the comparison condition is satisfied. Generally, a video face recognition service scene is single, a face base is generally used as a comparison reference, a video analysis server analyzes a face appearing in a video image returned by a camera and compares the face with the face base, and when the comparison with the face in the base is successful, a recognition result is generated. The face data information in the face base generally contains basic information such as head portrait, name, identification card number, gender and the like, and the whole application scene is mostly used for identity recognition of a single person.
The existing video face analysis and recognition generally has two analysis modes: one is as follows: the camera has a face snapshot function, when a face appears in a video picture, the camera can snapshot the picture, and transmits the face picture to the video analysis server for further analysis and comparison with the face in the bottom library; the face in the bottom library is subjected to structured processing when being input, and can be compared with face structured data analyzed from a video picture; when the face structured data in the video picture and the structured data in the bottom library reach the specified similarity, the recognition is successful. The service scene only realizes the identification and comparison of a single face picture. The other is as follows: the camera does not have a face snapshot function, the camera transmits the video stream to the video analysis server, the video analysis server can perform structured processing analysis on the video stream, and if face information is identified in the video stream, the face structured data can be compared with a face in the base; the human face in the bottom library is subjected to structured processing when being input; when the face structured data in the video picture and the structured data in the bottom library reach the specified similarity, the recognition is successful. The service scene only realizes the identification and comparison of a single face picture.
S103, judging whether the number of the persons with the same social attribute in a preset time exceeds the preset number;
the invention not only relates to the related technology of video face analysis and identification, but also realizes scene identification aiming at the group aggregation of key personnel (social attributes) based on the video face analysis and identification technology;
in the scene of the invention, in a preset area, the following two requirements are required to be met to be considered as the gathering of key personnel groups:
1) identifying that a plurality of key people (y people and more) appear in a monitoring picture within a short time interval (x minutes);
2) the crowd of people gathering together has the same purpose, i.e. people appearing in the monitoring picture have the same social attribute and reach y people or more (key people may have different social attributes, only have the same attribute and the number of people reaches the threshold value)
In the present invention, two libraries are used for scene recognition of the aggregation of key personnel groups: a key personnel information base and an identification result base; the main data stored in the key personnel information base has two purposes: one is key personnel basic data such as head portrait, name, gender, identification number and the like, and the part is used for face recognition; the other is attribute data used for judging whether different key personnel have the same social attribute.
The recognition result library has two parts of purposes: firstly, after face information of key personnel is recognized, the recognition result is stored, and the recognition result comprises basic data of the recognized key personnel, recognition time, camera information for recognition and the like; the other is used for searching within a certain time, namely, what the identified key personnel are in x minutes. Note: x and y are both adjustable thresholds, e.g., x may be 10 minutes, y may be 5 people
Judging whether the number of the persons with the same social attribute in a preset time exceeds a preset number or not; the method specifically comprises the following steps:
storing information of the identified person;
after the identification of one person is completed, judging whether the number of the identified persons exceeds the preset number within the preset time before the time starting point by taking the time for identifying the person as the time starting point;
if the judgment result is yes, judging whether the number of the identified persons with the same social attribute exceeds the preset number within the preset time before the time starting point;
if the judgment result is yes, the number of the persons with the same social attribute in the preset time exceeds the preset number.
And S104, if the number exceeds the preset number, determining that the key personnel group aggregation occurs.
Therefore, when the problem of the gathering of the key crowd occurs, the situation can be monitored in time by the method so as to be convenient for further controlling the situation. In the scheme that this application provided, solved the problem of control key crowd gathering, avoided again simultaneously extravagant a large amount of manpower and materials in the in-process of control key crowd gathering.
Further, after the key personnel group is gathered, alarm information is sent to preset related personnel. So set up, the relevant personnel can deal with the malignant scene that may appear in advance.
Fig. 2 is a flowchart of a method for identifying a focus site group gathering scene according to an embodiment of the present invention, and referring to fig. 2, the method may specifically include the following steps:
firstly, basic information of key personnel is synchronized to a face bottom library (as shown in the step I in the figure 2), and a face picture stored in the face bottom library is subjected to structured processing and used for identifying and comparing the face of the key personnel.
The camera continuously monitors the area in the picture, and when people enter the picture and are identified with facial information, the information is transmitted to the video analysis server.
The video analysis server carries out structuralization processing on the face in the video picture, analyzes and compares the face with all structuralization face information in the face bottom library, generates an identification result after the face meeting the conditions is matched, and determines that the person appearing in the camera picture is the key person in the bottom library.
The recognition result is pushed and stored to the recognition result library (as shown in step two of fig. 2), and the recognition result includes: basic data of key personnel, identification time, camera information for identification and the like; when a new recognition result is pushed into a warehouse, the judgment is triggered: within x minutes before the time point of new recognition result generation, whether there are other recognition results in the recognition result base and reach y or more (step three in fig. 2) or not is judged, if not, no processing is carried out, and if the next step is reached, the next step is carried out.
And extracting corresponding social attribute data of key personnel which appear simultaneously in x minutes in the last step from the key personnel information base to judge whether the key personnel with the same attribute reach y people or more, if not, processing is not carried out, and if so, a plurality of key personnel (y people or more) with a certain common target are determined to be subjected to group aggregation. Note: both x and y are adjustable thresholds, e.g., x may be 10 minutes and y may be 5 people.
Fig. 3 is a device for identifying a focus site group aggregation scene according to an embodiment of the present invention, and referring to fig. 3, the device for identifying a focus site group aggregation scene includes:
an obtaining module 31, configured to obtain a monitoring video;
an identification module 32 for identifying information of persons appearing in the surveillance video; the information of the person includes: social attributes of the person;
the judging module 33 is configured to judge whether the number of people with the same social attribute in a preset time exceeds a preset number;
and the confirming module 34 is used for confirming that the important person group aggregation occurs if the number exceeds the preset number.
Fig. 4 is an identification device for a focus site group aggregation scene according to an embodiment of the present invention, and referring to fig. 4, the identification device for a focus site group aggregation scene includes:
a processor 41, and a memory 42 connected to the processor;
the memory 42 is used for storing a computer program, and the computer program is at least used for executing the identification method of the focus site group gathering scene provided by the application;
the processor is used for calling and executing the computer program in the memory.
The present application further provides a storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps in the identification method for focus site group gathering scenes provided in the present application are implemented.
The present application also provides a computer program product comprising a computer program/instructions which, when executed by a processor, implement the steps of the method for identifying a focus site group gathering scenario provided by the present application.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (9)
1. A method for identifying a focus site group gathering scene is characterized by comprising the following steps:
acquiring a monitoring video;
identifying information of people present within the surveillance video; the information of the person includes: social attributes of the person;
judging whether the number of the persons with the same social attribute in a preset time exceeds a preset number or not;
if the number exceeds the preset number, the occurrence of the gathering of key personnel is determined.
2. The method for identifying the focused site group gathering scene as recited in claim 1, wherein the information for identifying the persons appearing in the surveillance video; the information of the person includes: social attributes of the person; the method comprises the following steps:
building a key personnel information base; the information of key personnel is stored in the key personnel information base;
and comparing the face structural data appearing in the video with the face structural data stored in the key personnel information base, and identifying the information of personnel stored in the key personnel information base.
3. The method for identifying the focus site group gathering scene as recited in claim 1, wherein the determining is performed to determine whether the number of people with the same social attribute in a preset time exceeds a preset number; the method comprises the following steps:
storing information of the identified person;
after the identification of one person is completed, judging whether the number of the identified persons exceeds the preset number within the preset time before the time starting point by taking the time for identifying the person as the time starting point;
if the judgment result is yes, judging whether the number of the identified persons with the same social attribute exceeds the preset number within the preset time before the time starting point;
if the judgment result is yes, the number of the persons with the same social attribute in the preset time exceeds the preset number.
4. The method for identifying the focus site group gathering scenes according to claim 1, wherein the preset time is ten minutes; the preset number is five.
5. The method for identifying a focused site group gathering scene as recited in claim 1, further comprising:
after gathering of key personnel groups, alarm information is sent to preset related personnel.
6. An identification device for a group gathering scene of a key location, comprising:
the acquisition module is used for acquiring a monitoring video;
the identification module is used for identifying information of personnel appearing in the monitoring video; the information of the person includes: social attributes of the person;
the judging module is used for judging whether the number of the persons with the same social attribute in a preset time exceeds the preset number;
and the identifying module is used for identifying that the key personnel group aggregation occurs if the number exceeds the preset number.
7. An apparatus for identifying a scene of a group of important places, comprising:
a processor, and a memory coupled to the processor;
the memory is configured to store a computer program for performing at least the method of identifying a focus group gathering scenario of any of claims 1-5;
the processor is used for calling and executing the computer program in the memory.
8. A storage medium storing a computer program which, when executed by a processor, implements each step in the method for identifying a group of places of importance clustering scenes according to any one of claims 1 to 5.
9. A computer program product comprising computer program/instructions, characterized in that the computer program/instructions, when executed by a processor, implement the steps of the method of identification of a focus group gathering scenario as claimed in claims 1-5.
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