WO2017107905A1

WO2017107905A1 - Tracking and early-warning method and system involving cooperation between multiple networks

Info

Publication number: WO2017107905A1
Application number: PCT/CN2016/111210
Authority: WO
Inventors: 夏小叶
Original assignee: 夏小叶
Priority date: 2014-12-26
Filing date: 2016-12-21
Publication date: 2017-06-29
Also published as: CN105681613A

Abstract

The present invention relates to the field of information tracking, in particular to a police alert information tracking method and system involving cooperation between multiple networks. The tracking and early-warning method under cooperation of multiple networks comprises the following steps: A, obtaining a first identification feature Y₁ of a target object and a positioning network X₁ to which the feature belongs; B, obtaining a geographical position Z₁ of the target object, and generating first identification information A₁ (X₁, Y₁, Z₁) of the target object; C, searching for a positioning network X₂ covering the geographic position Z₁; D, searching for an associated second identification feature Y₂ of the target object in the vicinity of the geographic position Z₁ under the positioning network X₂, and generating second identification information A₂ (X₂, Y₂, Z₂), wherein Z₂ represents a current geographic position of the second identification feature Y₂. The tracking and early-warning method and system under cooperation of multiple networks of the present invention can, after a certain identification feature of a target object is detected, quickly search for other identification features associated with the target object on the basis of the same geographic position, and thereby the target object can be found by tracking multiple identification features, so that the probability of successfully tracking the target object is greatly improved.

Description

Multi-network cooperative tracking and warning method and system

Technical field

[0001] The present invention relates to the field of information tracking and early warning, and in particular relates to an alarm information tracking and warning method and system under multi-network cooperation.

Background technique

[0002] In the prior art, after an alarm occurs, tracking the target object first needs to know an identification feature of the target object, and the identification features may be a mobile phone number, a network IP address, a navigation and positioning terminal identification code, a social account number, and the like. And then continuously track the identified features. Once the recognition feature disappears or is discarded, the target tracking is lost. For example, Li Xiangdong, a senior official of China Mobile, fled, giving a mobile phone to a street, saying that he had to travel, and the field roaming was too expensive, so that he could help with the custody, and he would not answer it if he did not shut down. The club is running in the city, and the monitor thinks that Li Xiangdong is still in the city. For example, in July 2014, the child who was born in Zengcheng, Guangzhou was taken away. The police found the suspect through surveillance video. The target disappeared again soon, but because the surveillance camera could not move, the police could only observe the nearby camera continuously. The video screen, the same person sent people to the nearby carpet search to find the suspect. Through the above examples, it can be seen that the existing target tracking methods are based on the continuous tracking of a certain identification feature. Once the identification feature disappears or is transferred, the target tracking will be interrupted; when the alarm occurs, the alarm and assistance can not be accurately pushed. Information to the relevant people around; it is difficult to find witnesses after the police disappear.

technical problem

Problem solution

Technical solution

[0003] In view of the above technical problem, the present invention provides a multi-network cooperative tracking early warning method and system, and the multi-network cooperative tracking and early warning method and system of the present invention can be based on the same after detecting a certain identification feature of the target object Geographically searching for a second identifying feature of the target, thereby searching for the target by tracking the first identifying feature and the second identifying feature of the target; and when the alert occurs, the user may also quickly search based on the same geographic location. The second identification feature of the non-target object around the police, and the accurate identification of the warning and assistance information to the surrounding non-target second recognition feature; when the alarm disappears, it may continue according to the target The second identification feature of the non-target stored in the tracking process is to find a witness.

[0004] The multi-network cooperative tracking and early warning method includes the following steps:

[0005] A, obtaining the first identification feature Y of the target, and the locator network X;

[0006] B, obtaining the geographic location Z of the target, generating the first identification information of the target A, (Χ, , Υ, , Ζ,)

[0007] C, looking for a geographically identifiable network Χ _2;

[0008] D, under the locating network X ₂ to find the relevant second identification feature Y _{2 of the} target in the geographic location Z, nearby, generating second identification information A ₂ (X ₂ , Y ₂ , Ζ ₂ ), Ζ ₂ Represents the second identification feature Υ ₂ current geographic location.

[0009] Preferably, the related second identification feature comprises a target second recognition feature and a non-target second recognition feature.

[0010] Preferably, the multi-network cooperative tracking and early warning method further comprises:

[0011] recording the first identifying feature and the associated second identifying feature separately.

[0012] Preferably, the multi-network cooperative tracking and early warning method further comprises:

[0013] tracking the first identifying feature and the target second identifying feature, respectively.

[0014] Preferably, the multi-network cooperative tracking and early warning method further comprises:

[0015] pushing the alert or assistance information to the non-target second identification feature.

[0016] Preferably, the first identifying feature comprises: a phone number or / and a network IP address or / and a navigation positioning terminal identification code or / and a video image or / and a social account.

[0017] Preferably, the second identification feature comprises: a phone number or / and a network IP address or / and a navigation positioning terminal identification code or / and a video image or / and a social account.

[0018] Preferably, when the first identification feature is a video image, acquiring geographic location information of the target includes the following steps:

[0019] Bl, obtaining current video camera geographic location and orientation information;

[0020] B2, calculating relative position information between the target object and the current video camera;

[0021] B3. Calculate geographic location information of the target.

[0022] Preferably, when the second identification feature is a video image, the second identifying feature of the target includes the following steps: [0023] Dl, obtaining geographic location information of the target;

[0024] D2, obtaining current geographic camera geographic location and orientation information;

[0025] D3. Calculate relative position information between the target object and the current video camera, thereby obtaining a second recognition feature of the target object.

[0026] Preferably, the positionable network comprises: a telephone network or/and an internet or/and a navigation positioning network or/and a video monitoring network.

[0027] Preferably, when the second identification feature is a video image, the method further includes the following steps:

[0028] F, obtaining a current frame image,

[0029] G. Find the identity information of the current target according to the target image in the identity information database.

[0030] Preferably, the navigation and positioning terminal comprises: a GPS positioning receiving end, a Beidou positioning receiving end, a GLONAS positioning receiving end, and a Galileo positioning receiving end.

[0031] Preferably, when the target second identification feature is found, the geographic location of the first identification feature and the second identification feature are less than 100 meters apart.

[0032] Preferably, when the target second identification feature is found, the geographic location of the first identification feature and the second identification feature are 0 meters apart.

[0033] Preferably, when the target second identification feature is found, when the second identification feature has a plurality of defects, preferably one closest to the first identification feature or one that keeps moving synchronously.

[0034] Optionally, when searching for a non-target second identification feature, the first identification feature and the second recognition feature are 1000 meters apart.

[0035] The multi-network cooperative tracking and early warning system includes:

[0036] at least one locating network connected to the collaborative processing module; the locating network is configured to acquire a first identifying feature and a second identifying feature of the target and locate the target; the collaborative processing module, according to the target The first identifying feature starts the corresponding locator network to obtain the corresponding geographic location, finds the locator network in the current geographic location, and invokes the corresponding locating network to find the second identifying feature of the target.

[0037] Preferably, the multi-network cooperative tracking early warning system further includes: a contact terminal adapted to and connected to each of the positionable networks, configured to push an alert or assist to the non-target second identification feature information.

[0038] Preferably, the multi-network cooperative tracking and early warning system further includes a storage module connected to the collaborative processing module, configured to store geographic address information corresponding to the fixed number, and the geographic location and orientation information of the video camera The first identification information and the second identification information may also be stored;

[0039] Preferably, the multi-network cooperative tracking and early warning system further comprises a human-machine interaction module connected to the collaborative processing module, configured to collect the first identification feature.

[0040] Preferably, the multi-network cooperative tracking and early warning system further includes an identity information database, where the identity information database stores a person image and identity information, and the identity information library is connected to the collaborative processing module. The video images acquired by the collaborative processing module are compared to find the identity information of the target.

[0041] Preferably, the first identifying feature is: a phone number or/and a network IP address or/and a navigation positioning terminal identification code or/and a video image, a social account number.

[0042] Preferably, the second identifying feature is: a phone number or/and a network IP address or/and a navigation positioning terminal identification code or/and a video image, a social account number.

[0043] Preferably, the positionable network comprises: a telephone network or/and an internet or/and a navigation positioning network or/and a video monitoring network.

[0044] The beneficial effects of the present invention are: According to the multi-network cooperative tracking and warning method and system of the present invention, after detecting a certain recognition feature of the target object, the second identification feature of the target object can be quickly searched based on the same geographical location. Therefore, by searching for the target by the tracking of the first identifying feature and the second identifying feature of the target, the probability of successful tracking of the target is greatly improved; and when the alert occurs, the alert can be quickly searched based on the same geographical location. The second identification feature of the non-target object around the situation, and the accurate identification of the warning and assistance information to the surrounding non-target second recognition feature; when the alarm disappears, the second identification feature of the stored non-target object can be used to find the witness witness.

Advantageous effects of the invention

Beneficial effect

Brief description of the drawing

DRAWINGS

1 is a schematic structural diagram of a first embodiment of a multi-network cooperative tracking pre-system according to the present invention;

2 is a schematic structural diagram of a second embodiment of a multi-network cooperative tracking pre-system according to the present invention;

3 is a schematic structural diagram of a third embodiment of a multi-network cooperative tracking pre-system according to the present invention;

4 is a schematic structural diagram of a fourth embodiment of a multi-network cooperative tracking pre-system according to the present invention;

5 is a flowchart of a first embodiment of a multi-network cooperative tracking pre-method according to the present invention; 6 is a flow chart of a second embodiment of a multi-network cooperative tracking early warning method according to the present invention;

7 is a flowchart of a third embodiment of a multi-network cooperative tracking early warning method according to the present invention;

8 is a flowchart of a fourth embodiment of a multi-network cooperative tracking early warning method according to the present invention;

9 is a flowchart of a multi-network cooperative tracking early warning method according to the present invention.

Embodiments of the invention

[0054] The present invention will be further described below in conjunction with the drawings and specific embodiments.

1 is a schematic structural diagram of a first embodiment of a multi-network cooperative tracking and early warning system according to the present invention. The multi-network cooperative tracking and early warning system includes a collaborative processing module 5, and a plurality of locators connectable with the collaborative processing module 5 The internet. The positionable network in this embodiment includes a telephone network 1, an Internet 2, a navigation and positioning network 3, and a video surveillance network 4. After a certain locating network detects the first identifying feature of the target, the corresponding geographic location is obtained and fed back to the collaborative processing module 5, and the collaborative processing module 5 finds and starts all the locators in the current geographic location. Network, find the second recognition feature of the target and track it.

2 is a schematic structural diagram of a second embodiment of a multi-network cooperative tracking and warning system according to the present invention. The multi-network cooperative tracking and early warning system includes a collaborative processing module 5, and a human-machine interaction module connected to the collaborative processing module 5. 6. Storage module 7 and multiple addressable networks. The positionable network in this embodiment includes a telephone network 1, an Internet 2, a navigation and positioning network 3, and a video surveillance network 4. The human-computer interaction module 6 is configured to input the first identification feature of the target object and the locating network. The collaborative processing module 5 activates the corresponding locator network according to the first identification feature to obtain the geographic location of the target object, and finds and starts the current geographic location. All the locator networks can be searched for the second recognition feature of the target and tracked, and the second identification feature of the non-target object is recorded during the tracking process to generate the second identification information. The storage module 7 is configured to store target first identification information and second identification information.

3 is a schematic structural diagram of a third embodiment of a multi-network cooperative tracking and early warning system according to the present invention. The multi-network cooperative tracking and early warning system includes a collaborative processing module 5, and a human-computer interaction module connected to the collaborative processing module 5. 6. The storage module 7, the identity information base 8, and a plurality of locating networks. The positionable network in this embodiment includes a telephone network 1, an Internet 2, a navigation and positioning network 3, and a video monitoring network 4. The human-computer interaction module 6 is configured to input a first identification feature of the target object, and the collaborative processing module 5 starts a corresponding positionable network according to the first identification feature to acquire a geographic location of the target object, and finds and starts all the locating networks in the current geographic location. Check The second identification feature of the target object is found and tracked, and the second identification feature of the non-target object is recorded during the tracking process to generate second identification information. The storage module 7 is configured to store target first identification information and second identification information. The identity information database 8 stores a person image and identity information, and provides personal information support for the collaborative processing module 5, wherein the personal identity information includes information such as an image, a name, and a home address.

4 is a schematic structural diagram of a fourth embodiment of a multi-network cooperative tracking and warning system according to the present invention. The multi-network cooperative tracking and early warning system includes a collaborative processing module 5, and a human-computer interaction module connected to the collaborative processing module 5. 6. The storage module 7, the identity information base 8 and the plurality of locating networks, are adapted and connected to the contact terminals of each of the locating networks, for pushing an alert or assistance to the non-target second identification feature information. The positionable network in this embodiment includes a telephone network 1, an Internet 2, a navigation and positioning network 3, and a video surveillance network 4. The contact terminal includes a first contact terminal 8 connected to the telephone network 1, a second contact terminal 9 connected to the Internet 2, and a third contact terminal 10 connected to the navigation and positioning network 3, connected and connected. The fourth contact terminal 11 of the video surveillance network 4 is described. The human-computer interaction module 6 is configured to input a first identification feature of the target object, and the collaborative processing module 5 starts a corresponding positionable network according to the first identification feature to acquire a geographic location of the target object, and finds and starts all the locating networks in the current geographic location. And searching for the second recognition feature of the target and tracking, recording the non-target second recognition feature during the tracking process, and generating the second identification information. The storage module 7 is configured to store target first identification information and second identification information. The identity information database 8 stores a person image and identity information, and provides personal information support for the collaborative processing module 5, wherein the personal identity information includes information such as an image, a name, and a home address.

[0059] In the first, second, and third embodiments of the present invention, the positionable network includes a telephone network 1, an Internet 2, a navigation and positioning network 3, a video surveillance network 4, and may be other trackable positioning. The internet.

5 is a first embodiment of the multi-network cooperative tracking early warning method of the present invention, and the process of acquiring another telephone number B ₂ according to a telephone number B of the target. After the human-machine interaction module 6 inputs or the telephone network 1 automatically detects the telephone number with the alarm, it is fed back to the cooperative processing module 5, and the cooperative processing module 5 sends a positioning instruction to the telephone network 1. The telephone network 1 locates the telephone number 8, obtains the current geographic location, and generates identification information eight of the telephone number ^, (Χ _{1 ;} Β _{1 ;} Ζ , ) and feeds back to the collaborative processing module 5, wherein the table identification feature The locator network of the genus is a telephone network, which represents the first identification feature of the object, and represents the current geographical location information of the object. After the collaborative processing module 5 searches for the location network Z, the addressable network is the telephone network 1, and sends the request information for finding other identification features of the target to the telephone network 1. The telephone network 1 includes a fixed line network and a mobile telephone network. The telephone network 1 searches for an associated second identification feature B ₂ that is present in the current geographic location, and the related second identification feature includes the target second identification feature and the non-target second recognition feature, and generates another identification information A ₂ (X _1; B ₂ , Z ₂ ) and fed back to the collaborative processing module 5, where Z ₂ represents the geographical location information of the associated second identifying feature B ₂ .

[0061] When looking for the second recognition feature of the target, the geographical distance ∑ ₂ and the geographical distance are as small as possible, and preferably the distance between the two addresses is 0 meters. If the current address [Sigma, other identifying features in the presence of a plurality of, preferably from the smallest identification feature _82, or the holding of the second identification features of a synchronous mobile object. The collaborative processing module 5 transmits the peer tracking identification feature B and the instruction to identify the feature B ₂ to the telephone network 1.

[0062] When searching for the non-target second identification feature, the distance between the geographic location Z ₂ and the geographic location Z may be set to 1000 meters as needed. The collaborative processing module 5 will identify the information A, (Χ,, Β,, Ζ,

And the identification information A ₂ (X _1; B ₂ , Z ₂ ) is stored in the storage module 7. The warning or assistance information may be pushed to the non-target second identification feature according to requirements. 6 is a second embodiment of the multi-network cooperative tracking warning method of the present invention, which acquires a navigation and positioning terminal identification code process according to the telephone number 8 of the target object. The telephone number 1 is automatically detected by the human-machine interaction module 6 or the telephone network 1 is detected, and then fed back to the cooperative processing module 5, and the cooperative processing module 5 sends a positioning instruction to the telephone network 1. The telephone network 1 locates the telephone number, obtains the current geographic location, and generates identification information, (Χ _1; Β _1; Ζ,) and feeds back to the collaborative processing module 5, where X represents the identification feature Β and belongs to The positioning network is the telephone network 1, B^t table object identification feature, and represents the current geographical location information of the target. After searching, the collaborative processing module 5 finds that the other locator network covering the geographic location Z is the navigation and positioning network 3, and sends the request information for finding other identification features of the target to the navigation and positioning network 3. The navigation positioning network 3 searches for the current geographic location Z, the associated second identification feature C1 of the attachment _{; the} related second identification feature includes the target second identification feature and the non-target second recognition feature, and generates another identification information A. ₃ (X ₂ , C _1; Z ₃ ) and fed back to the collaborative processing module 5, where X ₂ represents an identifiable feature. The belonging network is a navigation positioning network, d represents another identification feature of the target, and Z ₃ represents the current geographical location information of the target.

[0063] When looking for the second recognition feature 目标 of the target, the geographical position Z ₃ and the geographical position Z are as small as possible, and preferably the distance between the two addresses is 0 meters. If there are multiple other identification features under the current address ∑ ₃ , it is preferable that the distance recognition feature 8 _{2 is the} smallest, or the target second recognition feature that maintains the synchronous movement. The collaborative processing module 5 transmits an instruction to the telephone network 1 and the navigation and positioning network 3 to simultaneously identify the identification feature B and to identify the feature C. [0064] When looking for a second non-target identification features inch, and Z ₃ may be geographic location Z, a distance of 1000 m is set according to need. The collaborative processing module 5 will identify the information A, (Χ,, Β,, Ζ,

And the identification information A ₃ (X ₂ , C _1; Z ₃ ) is stored in the storage module 7. The warning or assistance information may be pushed to the non-target second identification feature according to requirements.

7 is a third embodiment of the multi-network cooperative tracking and warning method of the present invention, and the process of obtaining the telephone number B according to the network IP address D of the target. After the human-machine interaction module 6 inputs or the Internet 2 automatically detects the network ID ₀₁ of the alarm, it is fed back to the cooperative processing module 5, and the cooperative processing module 5 sends a positioning instruction to the Internet 2, and the Internet 2 obtains The current geographical position Z ₄ generates identification information A ₄ (X ₃ , D _1; Z

₄ ) and feedback to the collaborative processing module 5, wherein X ₃ represents the identification feature I), the associated locator network is the Internet, the D^t table object recognition feature, and ∑ ₄ represents the current geographic location information of the target. The collaborative processing module 5 finds that the addressable network covering the geographic location ∑ ₄ is the telephone network 1, and sends the request information for finding other identification features of the target to the telephone network 1. The telephone network 1 searches for an associated second identification feature B ₃ existing near the current geographic location Z ₄ , and the related second identification feature includes a second recognition feature of the target and a second identification feature of the non-target, and generates other identification information A of the target. _{_{_{5 (X 1; B 3,}}} Z 5) and fed back to the co-processing module 5, wherein X, an identification feature ₈₃ belongs may be positioned network telephone network, B ₃ represents the target recognition feature, Z ₅ represents the target product of the current Location information.

[0066] When looking for a second target object of identification features inches, and geographic location Σ ₅ Σ ₄ distance as small as possible, preferably two address distance is 0 m. If the address other identifying features Σ ₄ in the presence of a plurality of current it is preferably from ₈₄ to identify the smallest feature, or keeping the second identification features of a synchronous mobile object. The collaborative processing module 5 transmits an instruction to the Internet 3 and the telephone network 1 to track the identification feature D and identify the feature B.

[0067] When looking for the non-target second identification feature, the distance between the geographic location Z ₅ and the geographic location Z ₄ may be set to 1000 meters as needed. The collaborative processing module 5 will identify the information A ₄ (X ₃ , D _1; Z ₄

And the identification information A ₅ (X _1; B ₃ , Z ₅ ) is stored in the storage module 7. The warning or assistance information may be pushed to the non-target second identification feature according to requirements.

8 is a flow chart of the fourth embodiment of the multi-network cooperative tracking warning method of the present invention, which acquires an image E according to the telephone number B _{4 of the} target. After the human-machine interaction module 6 inputs or the telephone network 1 automatically detects the telephone number 8 _{4 with} an alarm, it is fed back to the cooperative processing module 5, and the cooperative processing module 5 sends a positioning instruction to the telephone network 1, and the telephone The network 1 locates the telephone number 8 ₄ and obtains an identification letter after obtaining the current geographical position Z ₆ Rate eight _{_{_{6 (X 1; B 4,}}} Z 6) and fed back to the co-processing module 5, wherein X, B j5jf an identification feature may be positioned genus network telephone network 1, B t object recognition feature table, [Sigma ₆ represents the current geographical location information of the target. The collaborative processing module 5 finds that the addressable network covering the geographic location Z ₆ is the video surveillance network 4, and sends the request information for finding other identification features of the target to the video surveillance network 4. The video surveillance network 4 calls the corresponding video camera to acquire the current frame image according to the geographic location Z _{6 of the} target object, and calculates relative position information between the target object and the current video camera according to the current geographic location and orientation information of the camera, thereby obtaining the current frame from the current frame. Locking the relevant second identifying feature E in the image. The second identifying feature includes the target second identifying feature and the non-target second identifying feature, generating the target other identifying information A ₇ (X ₄ , E _{1 ;} Z ₇ ) and feeding back to the co-processing module 5, X ₄ may be the case of an identification feature positioned video monitoring network network 4.

[0069] When looking for the second recognition feature of the target, the geographical position Z ₇ is as small as possible from the geographic location Z ₆ , and preferably the distance between the two addresses is 0 meters. If there are multiple other identification features under the current address ∑ ₇ , it is preferable that the distance recognition feature B _{4 is the} smallest, or the target second recognition feature that keeps moving synchronously.

[0070] When looking for a second non-target identification features inch, the distance may need geographic location Z ₆ and Z ₇ is set to 1000 m. The collaborative processing module 5 will identify the information A ₆ (X _{1 ;} B ₄ , Z ₆

And the identification information A ₇ (X ₄ , Ε , , Ζ ₇ ) are stored in the storage module 7, and even the identity information of the current target can be found by comparing the target image in the identity information database.

[0071] Calculating the relative position of the target in the current frame image based on the known geographic location and the geographic location and orientation of the camera is prior art and will not be described herein.

[0072] When the first identification feature is a QQ number or/and a social account such as a micro signal or/and an Aliwangwang number, and acquiring the second identification feature according to the first identification feature, the first identification feature needs to be identified first. A locustable network used in communications. If the first identification feature is used by the communication network to be the Internet 2, the IP address used by the first identification feature is obtained first (this is a prior art, and is not described herein), through the IP. The address obtains the geographical location information, so that the second identification feature is found based on the same geographical location information. This is a detailed embodiment of the third embodiment of the multi-network cooperative tracking early warning method of the present invention shown in FIG. If the first identification feature is used in the communication network, the location network is the telephone network 1, the phone number used by the first identification feature may be obtained, and the geographical location information may be obtained by using the phone number; Built-in positioning chip positioning for identifying feature registration device The location information is obtained; thus, the other identification features are found based on the same geographical location information. This is a detailed embodiment of the second embodiment of the multi-network cooperative tracking and warning method of the present invention shown in FIG. 5, and details are not described herein again.

[0073] The above examples are all examples in which one identification feature is used to find another identification feature. To find a plurality of other identification features by one recognition feature, it is only necessary to track multiple targets at the same time, and details are not described herein.

[0074] The above embodiment may be summarized as a multi-network cooperative tracking and early warning method, and specifically includes the following steps:

[0075] The multi-network cooperative tracking and early warning method includes the following steps:

[0076] A, obtaining a first identification feature Y of the target, and a locator network X;

[0077] B, obtaining the geographical location Z of the target, generating the target first identification information A, (Χ, , Υ, , Ζ,) [0078] C, looking for a geographically identifiable network Χ _2;

[0079] D. Find the second identification feature Y _{2 of the} target in the vicinity of the geographic location Z under the positionable network X ₂ , and generate second identification information A ₂ (X ₂ , Y ₂ , Ζ ₂ ) , Ζ ₂ Represents the second identification feature Υ ₂ current geographic location.

[0080] Preferably, the related second identification feature comprises a target second recognition feature and a non-target second recognition feature.

[0081] Preferably, the multi-network cooperative tracking and early warning method further comprises:

[0082] recording the first identifying feature and the associated second identifying feature separately.

[0083] Preferably, the multi-network cooperative tracking and early warning method further comprises:

[0084] tracking the first identification feature and the target second identification feature, respectively.

[0085] Preferably, the multi-network cooperative tracking and early warning method further comprises:

[0086] pushing the alert or assistance information to the non-target second identification feature.

[0087] Preferably, the first identifying feature comprises: a phone number or / and a network IP address or / and a navigation positioning terminal identification code or / and a video image or / and a social account.

[0088] Preferably, the second identification feature comprises: a phone number or / and a network IP address or / and a navigation positioning terminal identification code or / and a video image or / and a social account.

[0089] Preferably, when the first identification feature is a video image, acquiring geographic location information of the target includes the following steps: [0090] Bl, obtaining current video camera geographic location and orientation information;

[0091] B2, calculating relative position information between the target object and the current video camera;

[0092] B3. Calculate geographic location information of the target.

[0093] Preferably, when the second identifying feature is a video image, the second identifying feature of the target includes the following steps:

[0094] D1, obtaining geographic location information of the target;

[0095] D2, obtaining current geographic camera geographic location and orientation information;

[0096] D3. Calculate relative position information between the target object and the current video camera, thereby obtaining a second recognition feature of the target object.

[0097] Preferably, the positionable network comprises: a telephone network or/and an internet or/and a navigation positioning network or/and a video monitoring network.

[0098] Preferably, when the second identification feature is a video image, the method further includes the following steps:

[0099] F, obtaining a current frame image,

[0100] G. Find the identity information of the current target according to the target image in the identity information database.

[0101] Preferably, the navigation and positioning terminal comprises: a GPS positioning receiving end, a Beidou positioning receiving end, a GLONAS positioning receiving end, and a Galileo positioning receiving end.

[0102] Preferably, when the target second identification feature is found, the geographic location of the first identification feature and the second identification feature are less than 100 meters apart.

[0103] Preferably, when the target second identification feature is found, the geographic location of the first identification feature and the second identification feature are 0 meters apart.

[0104] Preferably, when the target second identification feature is found, when the second identification feature has a plurality of defects, it is preferably one closest to the first identification feature or one that keeps moving synchronously.

[0105] Preferably, when the non-target second identification feature is found, the first identification feature and the second recognition feature are 1000 meters apart.

[0106] The multi-network cooperative tracking and early warning system includes:

[0107] at least one locating network connected to the collaborative processing module; the locating network is configured to acquire a first identifying feature and a second identifying feature of the target and locate the target; the collaborative processing module, according to the target a first identifying feature, starting a corresponding locator network to obtain a corresponding geographic location, and searching for a current geographic location The location can be located in the network, and the corresponding locateable network is called to find the second identification feature of the target.

[0108] Preferably, the multi-network cooperative tracking and early warning system further includes: a contact terminal adapted to and connected to each of the positionable networks, configured to push an alert or assist to the non-target second identification feature information.

[0109] Preferably, the multi-network cooperative tracking and early warning system further includes a storage module connected to the collaborative processing module, configured to store geographic address information corresponding to the fixed telephone number, corresponding geographic location and orientation information of the video camera, and may also store The first identification information and the second identification information;

[0110] Preferably, the multi-network cooperative tracking and early warning system further includes a human-machine interaction module connected to the collaborative processing module, configured to collect the first identification feature.

[0111] Preferably, the multi-network cooperative tracking and early warning system further includes an identity information database, where the identity information database stores a person image and identity information, and the identity information library is connected to the collaborative processing module. The video images acquired by the collaborative processing module are compared to find the identity information of the target.

[0112] Preferably, the first identifying feature is: a phone number or/and a network IP address or/and a navigation positioning terminal identification code or/and a video image, a social account number.

[0113] Preferably, the second identifying feature is: a phone number or/and a network IP address or/and a navigation positioning terminal identification code or/and a video image, a social account number.

[0114] Preferably, the positionable network comprises: a telephone network or/and an internet or/and a navigation positioning network or/and a video monitoring network.

Claims

Claim

[Claim 1] A multi-network cooperative tracking and early warning method includes the following steps:

A, obtaining the first identification feature Y of the target object, and belonging to the locator network X;

B, obtaining the geographical position Z _{1 of the} target _; generating the first identification information A of the target, (X _{1 ;} Y i , Ζ , );

C. Find a locationable network x ₂ covering the geographic location _;

D. Find the second identification feature Y _{2 in the} vicinity of the geographic location Z under the positionable network X ₂ , generate second identification information A ₂ (X ₂ , Y ₂ , Ζ ₂ ), and Ζ ₂ represents the second Identify feature ¥ ₂ current location.

[Claim 2] The multi-network cooperative tracking warning method according to claim 1, wherein the first identification feature comprises: a telephone number or/and a network IP address or/and a navigation positioning terminal identification code or/and a video Image or/and social account; the associated second identification feature comprises: a phone number or/and a network IP address or/and a navigation location terminal identifier or/and a video image or/and a social account number

[Claim 3] The multi-network cooperative tracking early warning method according to claim 1, wherein the related second identification feature comprises a target second recognition feature and a non-target second recognition feature.

[Claim 4] The multi-network cooperative tracking and warning method according to claim 1, wherein the multi-network cooperative tracking and early warning method further comprises:

The first identifying feature and the associated second identifying feature are recorded separately.

[Claim 5] The multi-network cooperative tracking and warning method according to claim 1, wherein when the first identification feature is a video image, acquiring geographic location information of the target includes the following steps:

Bl, obtaining the current video camera geographic location and orientation information;

B2. Calculate relative position information between the target and the current video camera;

B3. Calculate the geographical location information of the target.

[Claim 6] The multi-network cooperative tracking early warning method according to claim 1, wherein when the second identifying feature is a video image, the second identifying feature of the target includes the following steps: Dl, obtaining geographic location information of the target;

D2, obtaining the current video camera geographic location and orientation information;

D3. Calculate relative position information between the target object and the current video camera, thereby obtaining a second recognition feature of the target object.

[Claim 7] The multi-network cooperative tracking and warning method according to claim 1, wherein the positionable network is: a telephone network or/and an Internet or/and a navigation positioning network or/and a video monitoring network; The navigation positioning terminal includes: a GPS positioning receiving end, a Beidou positioning receiving end, a GLONAS positioning receiving end, and a Galileo positioning receiving end.

[Claim 8] The multi-network cooperative tracking early warning system includes: at least one locator network connected to the collaborative processing module; the locating network is configured to acquire the first identifying feature and the second identifying feature of the target object and target the object Positioning; the collaborative processing module, according to the first identification feature of the target, starts the corresponding locator network to obtain the corresponding geographic location, finds the locator network under the current geographic location, and invokes the corresponding locator network to find the second identification feature of the target.

[Claim 9] The multi-network cooperative tracking and warning system according to claim 8, further comprising a storage module connected to the collaborative processing module, configured to store geographic address information corresponding to the fixed number, and the video camera corresponds to Geographical location and orientation information; the first identification feature, the second identification feature, and corresponding positionable network and geographic location information may also be stored.

[Claim 10] The multi-network cooperative tracking early warning system according to claim 8, wherein the multi-network cooperative tracking and early warning system further comprises an identity information database, wherein the identity information database stores a person image and identity information. And the identity information database is connected to the collaborative processing module, and compares the video images acquired by the collaborative processing module to find identity information of the target object.