CN111985401A - Area monitoring method, system, machine readable medium and equipment - Google Patents

Area monitoring method, system, machine readable medium and equipment Download PDF

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CN111985401A
CN111985401A CN202010843091.0A CN202010843091A CN111985401A CN 111985401 A CN111985401 A CN 111985401A CN 202010843091 A CN202010843091 A CN 202010843091A CN 111985401 A CN111985401 A CN 111985401A
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property management
objects
target tracking
area monitoring
legal
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周曦
姚志强
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CHONGQING SECURITY SCIENCE AND TECHNOLOGY RESEARCH INSTITUTE
Chongqing Zhongke Yuncong Technology Co ltd
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Abstract

The invention provides a regional monitoring method, which comprises the following steps: acquiring biological characteristic image information and motion trail information of one or more property management objects in the property management area; comparing the biological characteristic image information of the one or more property management objects with biological characteristic image information in a legal object database to obtain a comparison result; according to the comparison result, the identities of one or more property management objects are identified; and determining a target tracking object according to the identity of the property management object, and transmitting the acquired motion track information of the target tracking object to an early warning terminal, so that the management and control of property management personnel on the property management object are greatly improved.

Description

Area monitoring method, system, machine readable medium and equipment
Technical Field
The invention belongs to the field of security monitoring, and particularly relates to a region monitoring method, a region monitoring system, a machine readable medium and equipment.
Background
The existing community security system has more potential safety hazards, for example, the unilateral authentication security of opening a door by using an IC card is not high; the video monitoring of the cell usually adopts a manual judgment mode, so that the labor and financial resources are consumed greatly, the interference is easy to occur, the information in the monitoring video is not fully utilized, and the video monitoring of the cell is usually used for investigation and evidence obtaining after the fact. And the personnel in the district are intricate and complicated, and strangers are difficult to control.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, it is an object of the present invention to provide a method, system, machine-readable medium and device for area monitoring, which solve the problems of the prior art.
To achieve the above and other related objects, the present invention provides a method for monitoring an area, including:
acquiring biological characteristic image information and motion trail information of one or more property management objects in the property management area;
comparing the biological characteristic image information of the one or more property management objects with biological characteristic image information in a legal object database to obtain a comparison result;
according to the comparison result, the identities of one or more property management objects are identified;
and determining a target tracking object according to the identity of the property management object, and transmitting the acquired motion track information of the target tracking object to an early warning terminal.
Optionally, if the identity of the property management object is a non-legal object, determining that the property management object is a target tracking object.
Optionally, the early warning terminal determines the danger level of the target tracking object according to the motion trajectory information of the target tracking object.
Optionally, if it is determined that the staying time of the key facility of the target tracking object in the property management area exceeds a preset time or the round-trip times exceed a preset number according to the motion trajectory information of the target tracking object, determining that the risk level of the target tracking object is a high risk level.
Optionally, the biometric image information includes a face image and a body image.
Optionally, the legal object database is a residential community base.
Optionally, the identity of the property management object includes a legitimate object and a non-legitimate object.
Optionally, the method for determining the identity of the property management object includes:
acquiring the similarity between the face images of the one or more property management objects and the face images in a legal object database;
and if the similarity between the face images of the one or more property management objects and the face images in the legal object database is greater than or equal to a similarity threshold value, the property management object is a legal object, otherwise, the property management object is a non-legal object.
Optionally, motion trajectory information is obtained according to the snapshot data of the property management object.
Optionally, the snapshot data includes a device identifier of a snapshot device that shoots the property management object and a snapshot time that shoots the property management object.
Optionally, the snapshot data of the property management object is sorted according to time sequence, and the motion trail information of the property management object is obtained based on the sorted snapshot data of the property management object.
Optionally, the device identification of the capturing device comprises at least one of: device number, location of the device.
To achieve the above and other related objects, the present invention provides a regional monitoring system, comprising:
the information acquisition device is used for acquiring biological characteristic image information and motion trail information of one or more property management objects in the property management area;
the comparison device is used for comparing the biological characteristic image information of the one or more property management objects with the biological characteristic image information in a legal object database to obtain a comparison result;
the identity recognition device is used for recognizing the identities of one or more property management objects according to the comparison result;
and the target tracking object determining device is used for determining a target tracking object according to the identity of the property management object and transmitting the acquired motion track information of the target tracking object to the early warning terminal.
Optionally, if the identity of the property management object is a non-legal object, determining that the property management object is a target tracking object.
Optionally, the early warning terminal determines the danger level of the target tracking object according to the motion trajectory information of the target tracking object.
Optionally, if it is determined that the staying time of the key facility of the target tracking object in the property management area exceeds a preset time or the round-trip times exceed a preset number according to the motion trajectory information of the target tracking object, determining that the risk level of the target tracking object is a high risk level.
Optionally, the biometric image information includes a face image and a body image.
Optionally, the legal object database is a residential community base.
Optionally, the identity of the property management object includes a legitimate object and a non-legitimate object.
Optionally, the method for determining the identity of the property management object includes:
acquiring the similarity between the face images of the one or more property management objects and the face images in a legal object database;
and if the similarity between the face images of the one or more property management objects and the face images in the legal object database is greater than or equal to a similarity threshold value, the property management object is a legal object, otherwise, the property management object is a non-legal object.
Optionally, motion trajectory information is obtained according to the snapshot data of the property management object.
Optionally, the snapshot data includes a device identifier of a snapshot device that shoots the property management object and a snapshot time that shoots the property management object.
Optionally, the snapshot data of the property management object is sorted according to time sequence, and the motion trail information of the property management object is obtained based on the sorted snapshot data of the property management object.
Optionally, the device identification of the capturing device comprises at least one of: device number, location of the device.
To achieve the above and other related objects, the present invention provides an apparatus comprising:
one or more processors; and
one or more machine-readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform one or more of the methods described previously.
To achieve the foregoing and other related objectives, the present invention provides one or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform one or more of the methods described above.
As described above, the area monitoring method, system, machine-readable medium and device provided by the present invention have the following advantages:
the invention obtains biological characteristic image information and motion trail information of one or more property management objects in a property management area; comparing the biological characteristic image information of the one or more property management objects with biological characteristic image information in a legal object database to obtain a comparison result; according to the comparison result, the identities of one or more property management objects are identified; and determining a target tracking object according to the identity of the property management object, and transmitting the acquired motion track information of the target tracking object to an early warning terminal, so that the management and control of property management personnel on the property management object are greatly improved.
Drawings
Fig. 1 is a flowchart illustrating a method for monitoring a region according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a walking track determined by a region monitoring method according to an embodiment of the present invention;
FIG. 3 is a flow chart of a regional monitoring system according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a hardware structure of a terminal device according to another embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
As shown in fig. 1, a method for monitoring an area includes:
s11, acquiring biological feature image information and motion trail information of one or more property management objects in the property management area;
s12, comparing the biological characteristic image information of the one or more property management objects with the biological characteristic image information in a legal object database to obtain a comparison result;
s13, according to the comparison result, identifying the identity of one or more property management objects; the identity of the property management object comprises a legal object and a non-legal object;
s14, determining a target tracking object according to the identity of the property management object, and transmitting the acquired motion trail information of the target tracking object to an early warning terminal.
In this embodiment, the property management object is defined as all persons entering the property management area, including persons (legal objects) corresponding to the biometric image information stored in the legal object database (residential community base) and persons (illegal objects) not in the legal object database. Biometric image information of one or more property management objects may be acquired by one or more image capture devices. The image acquisition device may be a video camera, for example, a webcam that may deploy a snapshot camera device or multiplex an already-built video surveillance system. The camera may be an ordinary RGB camera or an RGBD camera capable of collecting depth information.
In one embodiment, the similarity between the face image of the one or more property management objects and the face image in the legal object database is obtained; and if the similarity between the face images of the one or more property management objects and the face images in the legal object database is greater than or equal to a similarity threshold value, the property management object is a legal object, otherwise, the property management object is a non-legal object. Comparing the biological characteristic image information of the one or more property management objects with the biological characteristic image information in a legal object database, namely comparing the similarity between the face images of the one or more property management objects and the face images in the legal object database, wherein the comparison result is that the similarity between the face images of the one or more property management objects and the face images in the legal object database is judged to be larger than or equal to a similarity threshold value.
The legal object database can be deployed on a background server in the form of a database or on a cloud server, and biological characteristic image information of a legal object in the property management area is stored on the database.
In one embodiment, the biometric image information includes a face image and a body image. The following description will specifically describe biometric image information as a face image.
Selecting face images of one or more property management objects in the monitoring images, comparing the face images with face images prestored in a legal object database one by one, and judging the similarity between the face images of one or more property management objects and the face images in the legal object database; and under the condition that the similarity between one or more property management objects detected in the monitoring image and the face image in the legal object database is greater than or equal to a preset similarity threshold value, the face image is considered to exist in the legal object database, the identity of the detected one or more property management objects can be considered to be a legal object, and otherwise, the identity of the detected one or more property management objects is considered to be an illegal object. If a plurality of property management objects appear in the monitored image, comparing the face image of each property management object with the face image in the legal object database one by one.
The preset similarity threshold may be 90%, that is, when the similarity between the face image of one or more property management objects in the monitored image and the face image in the legal object database exceeds 90%, it is determined that the face image exists in the legal object database, and it may be determined that the detected identity of one or more property management objects is a legal object, otherwise, it is determined that the detected identity is a non-legal object. In this embodiment, a plurality of preset similarity thresholds may be set, for example, 85%, 90%, and 95%, and different similarity thresholds may be selected according to needs. Specifically, the face similarity can be calculated by the euclidean distance and the cosine distance.
And when the similarity calculation is carried out, the face features of the face images of one or more property management objects are extracted, and then the face features of the face images of one or more property management objects are compared with the face features of the face images in the legal object database. The face features comprise the features of eyes, eyebrows, nose, mouth and the like, and the face feature extraction algorithm comprises a Pictorial, Structure and Top-Down algorithm.
It should be noted that, if the biometric image information of the property management object is a human body image, it can also be determined whether a property management object is a legal object by a method similar to a human face image.
After identifying the identity of the asset management object, the target tracking object may be determined. For example, if the identified property management object is an illegal object, the property management object may be used as a target tracking object, the motion trajectory information of the target tracking object is transmitted to the early warning terminal, and the early warning terminal determines the danger level of the target tracking object according to the motion trajectory information of the target tracking object.
In an embodiment, if it is determined that the staying time of the target tracking object in the key facility in the property management area exceeds a preset time or the round-trip times exceed a preset number according to the motion trajectory information of the target tracking object, it is determined that the risk level of the target tracking object is a high risk isopolar.
In an embodiment, motion trajectory information is obtained according to the snapshot data of the property management object. The snapshot data includes a device identifier of a snapshot device that shoots the property management object and snapshot time that shoots the property management object. The device identification of the capturing device comprises at least one of the following: device number, location of the device.
Specifically, the snapshot data of the property management object are sequenced according to time sequence, and the motion trail information of the property management object is obtained based on the sequenced snapshot data of the property management object.
It is assumed that,
1. and (3) snapshot time: position of snapshot device at 9 am and 15 am on 30 am of 12 and 30 months in 2019: a, 1, and the method is that,
2. and (3) snapshot time: position of the snapshotting device at 9 am for 25 minutes in 30 am in 12/2019: b2, the content of the active ingredients in the mixture,
3. and (3) snapshot time: 30 am at 9 am on 30 th of 12/2019, and the position of the snapshot device: the content of the carbon black is C1,
4. and (3) snapshot time: position of the snapshotting device at 9 am and 40 am on 12/30/2019: D3.
the walking trajectory of the property management object can be determined as shown in fig. 2 from a1 to B2, to C1, and finally to D3.
As shown in fig. 3, an area monitoring system includes:
an information acquisition device 31 for acquiring biological characteristic image information and motion trail information of one or more property management objects in the property management area;
a comparison device 32, configured to compare the biometric image information of the one or more property management objects with the biometric image information in the legal object database to obtain a comparison result;
the identity recognition device 33 is used for recognizing the identities of one or more property management objects according to the comparison result; the identity of the property management object comprises a legal object and a non-legal object;
and the target tracking object determining device 34 is configured to determine a target tracking object according to the identity of the property management object, and transmit the acquired motion trajectory information of the target tracking object to the early warning terminal.
In this embodiment, the property management object is defined as all persons entering the property management area, including persons (legal objects) corresponding to the biometric image information stored in the legal object database (residential community base) and persons (illegal objects) not in the legal object database. Biometric image information of one or more property management objects may be acquired by one or more image capture devices. The image acquisition device may be a video camera, for example, a webcam that may deploy a snapshot camera device or multiplex an already-built video surveillance system. The camera may be an ordinary RGB camera or an RGBD camera capable of collecting depth information.
In one embodiment, the similarity between the face image of the one or more property management objects and the face image in the legal object database is obtained; and if the similarity between the face images of the one or more property management objects and the face images in the legal object database is greater than or equal to a similarity threshold value, the property management object is a legal object, otherwise, the property management object is a non-legal object. Comparing the biological characteristic image information of the one or more property management objects with the biological characteristic image information in a legal object database, namely comparing the similarity between the face images of the one or more property management objects and the face images in the legal object database, wherein the comparison result is that the similarity between the face images of the one or more property management objects and the face images in the legal object database is judged to be larger than or equal to a similarity threshold value.
The legal object database can be deployed on a background server in the form of a database or on a cloud server, and biological characteristic image information of a legal object in the property management area is stored on the database.
In one embodiment, the biometric image information includes a face image and a body image. The following description will specifically describe biometric image information as a face image.
Selecting face images of one or more property management objects in the monitoring images, comparing the face images with face images prestored in a legal object database one by one, and judging the similarity between the face images of one or more property management objects and the face images in the legal object database; and under the condition that the similarity between one or more property management objects detected in the monitoring image and the face image in the legal object database is greater than or equal to a preset similarity threshold value, the face image is considered to exist in the legal object database, the identity of the detected one or more property management objects can be considered to be a legal object, and otherwise, the identity of the detected one or more property management objects is considered to be an illegal object. If a plurality of property management objects appear in the monitored image, comparing the face image of each property management object with the face image in the legal object database one by one.
The preset similarity threshold may be 90%, that is, when the similarity between the face image of one or more property management objects in the monitored image and the face image in the legal object database exceeds 90%, it is determined that the face image exists in the legal object database, and it may be determined that the detected identity of one or more property management objects is a legal object, otherwise, it is determined that the detected identity is a non-legal object. In this embodiment, a plurality of preset similarity thresholds may be set, for example, 85%, 90%, and 95%, and different similarity thresholds may be selected according to needs. Specifically, the face similarity can be calculated by the euclidean distance and the cosine distance.
And when the similarity calculation is carried out, the face features of the face images of one or more property management objects are extracted, and then the face features of the face images of one or more property management objects are compared with the face features of the face images in the legal object database. The face features comprise the features of eyes, eyebrows, nose, mouth and the like, and the face feature extraction algorithm comprises a Pictorial, Structure and Top-Down algorithm.
It should be noted that, if the biometric image information of the property management object is a human body image, it can also be determined whether a property management object is a legal object by a method similar to a human face image.
After identifying the identity of the asset management object, the target tracking object may be determined. For example, if the identified property management object is an illegal object, the property management object may be used as a target tracking object, the motion trajectory information of the target tracking object is transmitted to the early warning terminal, and the early warning terminal determines the danger level of the target tracking object according to the motion trajectory information of the target tracking object.
In an embodiment, if it is determined that the staying time of the target tracking object in the key facility in the property management area exceeds a preset time or the round-trip times exceed a preset number according to the motion trajectory information of the target tracking object, it is determined that the risk level of the target tracking object is a high risk isopolar.
In an embodiment, motion trajectory information is obtained according to the snapshot data of the property management object. The snapshot data includes a device identifier of a snapshot device that shoots the property management object and snapshot time that shoots the property management object. The device identification of the capturing device comprises at least one of the following: device number, location of the device.
Specifically, the snapshot data of the property management object are sequenced according to time sequence, and the motion trail information of the property management object is obtained based on the sequenced snapshot data of the property management object.
It is assumed that,
1. and (3) snapshot time: position of snapshot device at 9 am and 15 am on 30 am of 12 and 30 months in 2019: a, 1, and the method is that,
2. and (3) snapshot time: position of the snapshotting device at 9 am for 25 minutes in 30 am in 12/2019: b2, the content of the active ingredients in the mixture,
3. and (3) snapshot time: 30 am at 9 am on 30 th of 12/2019, and the position of the snapshot device: the content of the carbon black is C1,
4. and (3) snapshot time: position of the snapshotting device at 9 am and 40 am on 12/30/2019: D3.
the walking trajectory of the property management object can be determined as shown in fig. 2 from a1 to B2, to C1, and finally to D3.
An embodiment of the present application further provides an apparatus, which may include: one or more processors; and one or more machine readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform the method of fig. 1. In practical applications, the device may be used as a terminal device, and may also be used as a server, where examples of the terminal device may include: the mobile terminal includes a smart phone, a tablet computer, an electronic book reader, an MP3 (Moving Picture Experts Group Audio Layer III) player, an MP4 (Moving Picture Experts Group Audio Layer IV) player, a laptop, a vehicle-mounted computer, a desktop computer, a set-top box, an intelligent television, a wearable device, and the like.
The present application further provides a non-transitory readable storage medium, where one or more modules (programs) are stored in the storage medium, and when the one or more modules are applied to a device, the device may be caused to execute instructions (instructions) of steps included in the method in fig. 1 according to the present application.
Fig. 4 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present application. As shown, the terminal device may include: an input device 1100, a first processor 1101, an output device 1102, a first memory 1103, and at least one communication bus 1104. The communication bus 1104 is used to implement communication connections between the elements. The first memory 1103 may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory, and the first memory 1103 may store various programs for performing various processing functions and implementing the method steps of the present embodiment.
Alternatively, the first processor 1101 may be, for example, a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and the first processor 1101 is coupled to the input device 1100 and the output device 1102 through a wired or wireless connection.
Optionally, the input device 1100 may include a variety of input devices, such as at least one of a user-oriented user interface, a device-oriented device interface, a software programmable interface, a camera, and a sensor. Optionally, the device interface facing the device may be a wired interface for data transmission between devices, or may be a hardware plug-in interface (e.g., a USB interface, a serial port, etc.) for data transmission between devices; optionally, the user-facing user interface may be, for example, a user-facing control key, a voice input device for receiving voice input, and a touch sensing device (e.g., a touch screen with a touch sensing function, a touch pad, etc.) for receiving user touch input; optionally, the programmable interface of the software may be, for example, an entry for a user to edit or modify a program, such as an input pin interface or an input interface of a chip; the output devices 1102 may include output devices such as a display, audio, and the like.
In this embodiment, the processor of the terminal device includes a module for executing functions of each module in each device, and specific functions and technical effects may refer to the foregoing embodiments, which are not described herein again.
Fig. 5 is a schematic hardware structure diagram of a terminal device according to an embodiment of the present application. Fig. 5 is a specific embodiment of the implementation process of fig. 4. As shown, the terminal device of the present embodiment may include a second processor 1201 and a second memory 1202.
The second processor 1201 executes the computer program code stored in the second memory 1202 to implement the method described in fig. 1 in the above embodiment.
The second memory 1202 is configured to store various types of data to support operations at the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, pictures, videos, and so forth. The second memory 1202 may include a Random Access Memory (RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
Optionally, a second processor 1201 is provided in the processing assembly 1200. The terminal device may further include: communication component 1203, power component 1204, multimedia component 1205, speech component 1206, input/output interfaces 1207, and/or sensor component 1208. The specific components included in the terminal device are set according to actual requirements, which is not limited in this embodiment.
The processing component 1200 generally controls the overall operation of the terminal device. The processing assembly 1200 may include one or more second processors 1201 to execute instructions to perform all or part of the steps of the data processing method described above. Further, the processing component 1200 can include one or more modules that facilitate interaction between the processing component 1200 and other components. For example, the processing component 1200 can include a multimedia module to facilitate interaction between the multimedia component 1205 and the processing component 1200.
The power supply component 1204 provides power to the various components of the terminal device. The power components 1204 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the terminal device.
The multimedia components 1205 include a display screen that provides an output interface between the terminal device and the user. In some embodiments, the display screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.
The voice component 1206 is configured to output and/or input voice signals. For example, the voice component 1206 includes a Microphone (MIC) configured to receive external voice signals when the terminal device is in an operational mode, such as a voice recognition mode. The received speech signal may further be stored in the second memory 1202 or transmitted via the communication component 1203. In some embodiments, the speech component 1206 further comprises a speaker for outputting speech signals.
The input/output interface 1207 provides an interface between the processing component 1200 and peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include, but are not limited to: a volume button, a start button, and a lock button.
The sensor component 1208 includes one or more sensors for providing various aspects of status assessment for the terminal device. For example, the sensor component 1208 may detect an open/closed state of the terminal device, relative positioning of the components, presence or absence of user contact with the terminal device. The sensor assembly 1208 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 1208 may also include a camera or the like.
The communication component 1203 is configured to facilitate communications between the terminal device and other devices in a wired or wireless manner. The terminal device may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot therein for inserting a SIM card therein, so that the terminal device may log onto a GPRS network to establish communication with the server via the internet.
As can be seen from the above, the communication component 1203, the voice component 1206, the input/output interface 1207 and the sensor component 1208 involved in the embodiment of fig. 5 can be implemented as the input device in the embodiment of fig. 4.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.

Claims (26)

1. A method of area monitoring, comprising:
acquiring biological characteristic image information and motion trail information of one or more property management objects in the property management area;
comparing the biological characteristic image information of the one or more property management objects with biological characteristic image information in a legal object database to obtain a comparison result;
according to the comparison result, the identities of one or more property management objects are identified;
and determining a target tracking object according to the identity of the property management object, and transmitting the acquired motion track information of the target tracking object to an early warning terminal.
2. The area monitoring method according to claim 1, wherein if the identity of the property management object is a non-legal object, the property management object is determined to be a target tracking object.
3. The area monitoring method according to claim 1, wherein the early warning terminal determines the danger level of the target tracking object according to the motion trajectory information of the target tracking object.
4. The area monitoring method according to claim 3, wherein if it is determined that the staying time of the key facility of the target tracking object in the property management area exceeds a preset time or the number of round trips exceeds a preset number according to the movement trajectory information of the target tracking object, it is determined that the risk level of the target tracking object is high risk isopolar.
5. The area monitoring method according to claim 1, wherein the biometric image information includes a face image and a body image.
6. A regional monitoring method as claimed in claim 1 wherein the database of legal objects is a community resident repository.
7. The area monitoring method of claim 1, wherein the identity of the property management object includes legitimate objects and non-legitimate objects.
8. The area monitoring method of claim 7, wherein the method of determining the identity of the property management object comprises:
acquiring the similarity between the face images of the one or more property management objects and the face images in a legal object database;
and if the similarity between the face images of the one or more property management objects and the face images in the legal object database is greater than or equal to a similarity threshold value, the property management object is a legal object, otherwise, the property management object is a non-legal object.
9. The area monitoring method according to claim 1, wherein motion trajectory information is obtained from snapshot data of the property management object.
10. The area monitoring method according to claim 9, wherein the snapshot data includes a device identification of a snapshot device that snapshots to the property management object and a snapshot time that snapshots to the property management object.
11. The area monitoring method according to claim 10, wherein the snapshot data of the property management objects are sorted in time sequence, and the motion trajectory information of the property management objects is obtained based on the sorted snapshot data of the property management objects.
12. The area monitoring method according to claim 10, wherein the device identification of the capturing device comprises at least one of: device number, location of the device.
13. An area monitoring system, comprising:
the information acquisition device is used for acquiring biological characteristic image information and motion trail information of one or more property management objects in the property management area;
the comparison device is used for comparing the biological characteristic image information of the one or more property management objects with the biological characteristic image information in a legal object database to obtain a comparison result;
the identity recognition device is used for recognizing the identities of one or more property management objects according to the comparison result;
and the target tracking object determining device is used for determining a target tracking object according to the identity of the property management object and transmitting the acquired motion track information of the target tracking object to the early warning terminal.
14. The area monitoring system of claim 13, wherein the property management object is determined to be a target tracking object if the identity of the property management object is a non-legitimate object.
15. The area monitoring system according to claim 13, wherein the early warning terminal determines a danger level of the target tracking object according to the motion trajectory information of the target tracking object.
16. The area monitoring system according to claim 15, wherein if it is determined that the staying time of the key facility of the target tracking object in the property management area exceeds a preset time or the number of round trips exceeds a preset number according to the movement trajectory information of the target tracking object, it is determined that the risk level of the target tracking object is high risk isopolar.
17. The area monitoring system of claim 13, wherein the biometric image information includes a face image, a body image.
18. The regional monitoring system of claim 13 wherein the database of legitimate objects is a community residents' bank.
19. The area monitoring system of claim 13, wherein the identity of the property management object includes legitimate objects and non-legitimate objects.
20. The area monitoring system of claim 19, wherein the means for determining the identity of the property management object comprises:
acquiring the similarity between the face images of the one or more property management objects and the face images in a legal object database;
and if the similarity between the face images of the one or more property management objects and the face images in the legal object database is greater than or equal to a similarity threshold value, the property management object is a legal object, otherwise, the property management object is a non-legal object.
21. The area monitoring system of claim 13, wherein motion trajectory information is derived from snapshot data of the property management object.
22. The area monitoring system of claim 21, wherein the snapshot data includes a device identification of a snapshot device that snapshots to the property management object and a snapshot time to the property management object.
23. The area monitoring system according to claim 22, wherein the snapshot data of the property management objects are sorted in chronological order, and the motion trajectory information of the property management objects is obtained based on the sorted snapshot data of the property management objects.
24. The area monitoring system of claim 10, wherein the device identification of the snap-shot device comprises at least one of: device number, location of the device.
25. An apparatus, comprising:
one or more processors; and
one or more machine-readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform the method of one or more of claims 1-12.
26. One or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform the method of one or more of claims 1-12.
CN202010843091.0A 2020-08-20 2020-08-20 Area monitoring method, system, machine readable medium and equipment Pending CN111985401A (en)

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Application publication date: 20201124