KR20200094444A - Intelligent image photographing apparatus and apparatus and method for object tracking using the same - Google Patents

Abstract

Disclosed are an intelligent image photographing device, an object tracking system including the same, and an object tracking method using the same. The object tracking system comprises: a plurality of intelligent image photographing devices which dynamically track a movement of a moving object; and an object tracking device analyzing attribute information received from the plurality of intelligent image photographing devices, final image data, tracking result data, and map data received from an external server and calculating analysis data which predicts an expected position of the moving object. Therefore, the present invention can provide the highly efficient and highly utilized intelligent image photographing device capable of precise real-time location tracking of the moving object, the object tracking system including the same, and the object tracking method using the same.

Description

INTELLIGENT IMAGE PHOTOGRAPHING APPARATUS AND APPARATUS AND METHOD FOR OBJECT TRACKING USING THE SAME

The present invention relates to an intelligent image photographing apparatus, and an object tracking apparatus and method using the same, and more particularly, an intelligent image photographing apparatus that dynamically tracks a moving object and an object tracking apparatus that predicts a real-time location of the moving object using the same. And methods.

With the recent increase in social anxiety due to the economic crisis, the incidence of various crimes such as theft, assault and kidnapping is increasing.

In addition, the incidence of missing persons, such as children, the disabled, and dementia patients, is increasing due to economic activity and nuclear family.

Generally, when such a crime or disappearance event occurs, the reporter tracks the subject by using CCTV installed on the traffic spot where the event occurs or the subject (criminal or missing person) frequently appears.

In detail, the conventional method of tracking a target person using CCTV, if the reporter reports a crime or disappearance event to the agency that controls the CCTV installed on the scene of the incident and the appearance of the target person, the agency is responsible for the control center. It requests tracking of all CCTVs installed in the area and tracks the time of occurrence of the event, information about the arrival and departure of the subject, and the path of movement of the subject. This is because all CCTVs in the jurisdiction must be directly searched and tracked, and if the target leaves the jurisdiction, a new CCTV inquiry request must be made to the jurisdiction agency inferred along the subject's movement path to repeatedly conduct the target tracking process. There is a big drawback of time and manpower consumption for tracking targets.

In addition, in some cases, the competent authority may need to obtain permission from a law enforcement agency to inquire CCTV images after reporting the incident of the reporter, which may cause delay in tracking the subject.

Accordingly, conventionally, a device for tracking a position is attached to a subject's body, and a target tracking device capable of promptly inquiring a position by wireless communication with a reporter terminal is provided.

However, the conventional subject tracking device has a disadvantage in that its application is limited only to subjects having a location tracking device.

An object of the present invention to solve the above problems is to provide a highly efficient and convenient object tracking device.

In addition, another object of the present invention for solving the above problems is to provide a highly efficient and convenient object tracking method.

In addition, another object of the present invention for solving the above problems is to provide a high-efficiency and high-convenience intelligent image taking device.

An object tracking device according to an embodiment of the present invention for achieving the above object relates to an object tracking device that tracks a moving object in conjunction with at least one intelligent image capturing device, and includes a memory and a memory. It includes a processor (Processor) for performing at least one stored command, wherein the at least one command is a command to request authentication to the tracking requester to the authentication server, using the authentication information received from the authentication server A command to access at least one intelligent video photographing device photographing an event occurrence position among intelligent video photographing devices, a command to transmit identification information of a moving object to the at least one intelligent video photographing device, and at least one intelligent And an instruction to receive tracking result data of a moving object from an image photographing apparatus, and to generate analysis data by analyzing and merging the tracking result data and map data transmitted from the outside.

Here, the authentication server, when the authentication request, by passing the personal information transmitted from the tracking requester to the reporting institution, and the reporting institution can issue the authentication information, if the tracking requester to allow the inquiry of the intelligent video recording devices of the tracking requester have.

Also, the personal information may include at least one of a relationship between a tracking requester and a moving object and a reason for tracking the moving object.

The at least one command of the object tracking device may include attribute information and a moving object in the at least one intelligent video shooting device after a command to receive tracking result data of the moving object from the at least one intelligent video shooting device. It may further include a command to receive the last image data that was photographed last.

In this case, the tracking result data may include time at which the final image data was generated and location information of a moving object in the final image data.

Further, the at least one command of the object tracking device may include at least one of the intelligent commands after a command to allow at least one property information in the intelligent video shooting device and a moving object to receive the last captured image data. It may further include a command to synchronize the information received from the image capture device.

And, the at least one command of the object tracking device, after the command to analyze and merge the tracking result data and the map data transmitted from the outside to generate analysis data, by the at least one intelligent image taking device A command for receiving tracking result data of a moving object from another intelligent image capturing device in which the identification information is shared, and analyzing and merging tracking result data and map data of the other intelligent image capturing device to generate new analysis data It may further include a command to.

The analysis data may include at least one of real-time predicted location information and predicted movement path information of a moving object analyzed using at least one of the attribute information, the tracking result data, and the map data.

At this time, the predicted location information is calculated by reflecting at least one of the topographic, geographic, and traffic information of the map data to the two-dimensional distance vector and moving speed data of the moving object calculated from the attribute information and the tracking result data. can do.

An object tracking method of an object tracking device interworking with at least one intelligent video device according to another embodiment of the present invention for achieving the above object comprises: requesting an authentication server for authentication to a tracking requester, received from the authentication server Accessing at least one intelligent image photographing apparatus for photographing an event occurrence position among the intelligent image photographing apparatuses using authentication information, transmitting identification information of a moving object to at least one intelligent image photographing apparatus, at least And receiving tracking result data of a moving object from one of the intelligent image photographing devices, and generating analysis data by analyzing and merging the tracking result data and map data transmitted from the outside.

Here, the authentication server, when the authentication request, by passing the personal information transmitted from the tracking requester to the reporting institution, and the reporting institution can issue the authentication information, if the tracking requester to allow the inquiry of the intelligent video recording devices of the tracking requester have.

Also, the personal information may include at least one of a relationship between a tracking requester and a moving object and a reason for tracking the moving object.

In the object tracking method, after receiving the tracking result data of the moving object from the at least one intelligent image capturing device, the attribute information in the at least one intelligent image capturing device and the last image data of the moving object last captured It may further include the step of receiving.

In this case, the tracking result data may include time at which the final image data was generated and location information of a moving object in the final image data.

In addition, the object tracking method may include, after receiving attribute information in the at least one intelligent image capturing apparatus and the final image data on which a moving object was last captured, information received from the at least one intelligent image capturing apparatus. It may further include a command to synchronize them.

In addition, the object tracking method analyzes and merges the tracking result data and the map data transmitted from the outside to generate analysis data, and then the other intelligent information is shared by the at least one intelligent image capturing device The method may further include receiving tracking result data of the moving object from the image photographing apparatus and analyzing and merging the tracking result data and the map data of the other intelligent image photographing apparatus to generate new analysis data.

The analysis data may include at least one of real-time predicted location information and predicted movement path of a moving object analyzed by using at least one of the attribute information, the tracking result data, and map data.

An intelligent image capturing apparatus that dynamically tracks a moving object according to another embodiment of the present invention for achieving the above object includes a memory and a processor that performs at least one command in the memory. Including, the at least one command, the command to receive the authentication information, the time of occurrence of the event and the identification information of the moving object, targeting the image data captured within the time of occurrence of the event, the moving object using the identification information A command to search for, a command to sequentially query the captured image data after the reference to the captured image data from which the moving object was searched, and to extract the final image data that the moving object was last captured. A command to extract tracking result data including a shooting time and a location of a moving object in the final image data, a command to select another intelligent image taking device that photographs a location of the moving object in the final image data, and the other intelligent And an instruction to transmit at least one of attribute information, the authentication information, the identification information, and the tracking result data to the image photographing apparatus.

At this time, the command to select another intelligent image capture device for photographing the position of the moving object in the final image data includes: a command for calculating a moving direction of the moving object in the final image data and a moving object in the final image data It may include a command for photographing a location and selecting the other intelligent image photographing device positioned on a moving direction of the moving object.

In addition, the other intelligent image capturing apparatus may synchronize at least one of the attribute information, the authentication information, the identification information, and the tracking result data.

An intelligent image photographing apparatus and an object tracking apparatus and method using the same according to an embodiment of the present invention include a plurality of intelligent image photographing apparatuses that dynamically track movement of a moving object and attribute information received from the plurality of intelligent image photographing apparatuses By including the object tracking device that analyzes the final image data and tracking result data and map data received from an external server to calculate the predicted position of a moving object, it includes a high-efficiency and high-efficiency tracking system that can accurately and accurately track moving objects. It is possible to provide a highly-utilized intelligent image capturing apparatus, an object tracking system including the same, and an object tracking method using the same.

1 is a conceptual diagram illustrating an object tracking system according to an embodiment of the present invention.
2 is a block diagram of an intelligent image capturing apparatus according to an embodiment of the present invention.
3 is a block diagram of a processor module in an intelligent image capturing apparatus according to an embodiment of the present invention.
4 is a block diagram of an object tracking device according to an embodiment of the present invention.
5 is a block diagram of a processor module in an object tracking device according to an embodiment of the present invention.
6 is a flowchart of an object tracking method according to an embodiment of the present invention.
7 is a flowchart illustrating a method of providing tracking result data to an object tracking device by an intelligent image photographing device according to an embodiment of the present invention.

The present invention can be applied to various changes and can have various embodiments, and specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. In describing each drawing, similar reference numerals are used for similar components.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from other components. For example, the first component may be referred to as a second component without departing from the scope of the present invention, and similarly, the second component may be referred to as a first component. The term “and/or” includes a combination of a plurality of related described items or any one of a plurality of related described items.

When an element is said to be "connected" or "connected" to another component, it is understood that other components may be directly connected to or connected to the other component, but there may be other components in between. It should be. On the other hand, when a component is said to be "directly connected" or "directly connected" to another component, it should be understood that no other component exists in the middle.

The terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, terms such as “include” or “have” are intended to indicate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, and that one or more other features are present. It should be understood that the existence or addition possibilities of fields or numbers, steps, operations, components, parts or combinations thereof are not excluded in advance.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person skilled in the art to which the present invention pertains. Terms, such as those defined in a commonly used dictionary, should be interpreted as having meanings consistent with meanings in the context of related technologies, and should not be interpreted as ideal or excessively formal meanings unless explicitly defined in the present application. Does not.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In order to facilitate the overall understanding in describing the present invention, the same reference numerals are used for the same components in the drawings, and duplicate descriptions for the same components are omitted.

1 is a conceptual diagram illustrating an object tracking system according to an embodiment of the present invention.

Referring to FIG. 1, an object tracking system may dynamically track a moving object using a plurality of intelligent image capturing devices and predict a real-time location of the tracked moving objects. At this time, the moving object may be a person, an animal, or an object. For example, the moving object may be a suspect and a fugitive vehicle or a missing person or pet who committed a crime that is an object to be tracked.

More specifically, the object tracking system may include a plurality of intelligent image capturing devices (C) and an object tracking device (D).

Here, the plurality of intelligent image capturing devices (C) may be interlocked with each other. Accordingly, the plurality of intelligent image capturing devices C may share identification information and tracking result data of the moving object input from the reporter. Accordingly, the plurality of intelligent image capturing devices C can continuously track the movement of the moving object.

In Figure 2 below will be described in more detail with respect to the individual intelligent image capture device (C).

2 is a block diagram of an intelligent image capturing apparatus according to an embodiment of the present invention.

Referring to FIG. 2, the intelligent image photographing device C is installed at a specific location, and can photograph an area within a certain field of view (FOV) in real time.

The intelligent image capturing device C may be linked with the object tracking device D, which will be described later. Accordingly, when the tracking of the moving object is requested from the reporter through the object tracking device D, the intelligent image capturing apparatus C selects the moving object from at least one captured image data based on the identification information of the received moving object. Can be dynamically extracted.

According to an embodiment, the intelligent image capture device C may be an intelligent CCTV.

When the intelligent image capturing apparatus C is described in more detail by configuration, the intelligent image capturing apparatus C may include a memory 100, a storage 300, a communication unit 500, and a processor 700.

The memory 100 may include at least one instruction to be performed by the processor 700 to be described later.

According to an embodiment, the at least one command is a command for receiving information on authentication information, an event occurrence time, and identification information of a moving object, and targets image data taken before and after the event occurrence time, using the identification information A command to search for a moving object, a command to search for subsequent image data based on the searched image data, and a command to cause the moving object to extract the last captured image data, and the shooting time of the final image data And at least one of a command to extract the location of the moving object in the final image data and a command to transmit the authentication information, the shooting time of the final image data, and the location to another intelligent image capturing apparatus in which the location falls within a shooting range. It can contain one command.

The storage 300 may store at least one piece of information. More specifically, the storage 300 may include a first storage 310, a second storage 330, and a third storage 350.

The first storage 310 may store at least one captured image data.

According to an embodiment, the first storage 310 may store only images captured within a predetermined time range. In other words, among at least one captured image data stored in the first storage 310, the captured image data outside a predetermined time range may be automatically deleted by the processor 700 to be described later. In this case, the predetermined time range may be determined according to the size of the first storage 310.

Therefore, the intelligent image capturing apparatus C according to the embodiment of the present invention can prevent an error due to data overload.

The second storage 330 may store at least one of identification information, event occurrence time, and event location information of at least one mobile object received from the reporter.

As described above, the moving object can be a person, an animal, or an object. According to an embodiment, when the moving object is a human or an animal, the identification information may include at least one of physical characteristics and impression information.

According to another embodiment, when the moving object is an animal or an object, the identification information may include feature information of the object. However, the feature information of the moving object is not limited to the above-described embodiment, and all information capable of identifying a moving object corresponding to a person, animal, or object may be applicable.

In addition, an event occurrence time may be defined as an accurate event occurrence time or approximate time information when an event occurred.

The third storage 350 may include at least one attribute information of the corresponding intelligent image capturing device (C). According to an embodiment, the attribute information may include at least one of an identifier of an intelligent image capturing apparatus C, an installation location, an installation height, a setting time, and an imaging angle. For example, the initial shooting angle of the intelligent image capturing apparatus C may be set to 0 in the north direction.

The communication unit 500 may support a communication environment with the object tracking device D, which will be described later. Accordingly, as described above, the communication unit 500 may receive the mobile object tracking request and the identification information of the mobile object from the reporter through the object tracking device D.

The communication unit 500 may transmit the attribute information and the final image data extracted by the processor 700 to be described later and tracking result data of the moving object to the object tracking device D. Here, the final image data may be image data of which the moving object was last confirmed. Further, the tracking result data may be a shooting position (P _d ) and a shooting time (T _d ) of the moving object in the final image data. The method of extracting the tracking result data will be described in more detail when the processor 700 is described below.

Also, the communication unit 500 may support a communication environment with at least one other intelligent image capturing device C. Accordingly, the communication unit 500 may transmit the tracking result data, identification information of the moving object, and authentication information to another intelligent image capture device C _n+1 . Here, be at least one of the other intelligent imaging device (C _{n + 1)} is at least one intelligent imaging device (C _{n + 1)} falling within the location (P _d) the angle of view taken by the mobile object to the last have. The other intelligent image photographing device C will be described in more detail with the expression of the second intelligent image photographing device C _n+1 when describing the moving object tracking method of the following intelligent image photographing device.

As described above, the processor 700 may perform at least one instruction stored in the memory 100. 3, the processor 700 will be described in more detail for each module.

3 is a block diagram of a processor module in an intelligent image capturing apparatus according to an embodiment of the present invention.

Referring to FIG. 3, the processor 700 may include an authentication module 710, a synchronization module 730, a search module 750 and a calculation module 770.

The authentication module 710 may check whether the authentication information received from the reporter is valid. According to an embodiment, the authentication information may be issued from an authentication server after receiving an inquiry from a reporting agency. The authentication information will be described in more detail when the authentication module 7100 of the object tracking device D to be described later is generated.

The synchronization module 730 may reflect a set time error between the object tracking device D and another intelligent image capturing device C _n+1 . In other words, the synchronization module 730 may synchronize the set time with the object tracking device D and other intelligent image capturing devices C _n+1 .

The search module 750 may extract the image data of the last time the moving object was photographed from at least one image data stored in the first storage 310 based on the received identification information of the moving object. In other words, the search module 750 moves among at least one image data stored in the first storage 310 based on the identification information, the event occurrence time, and the event location information of the moving object stored in the second storage 330 The final image data of the last image captured by the object may be retrieved.

According to an embodiment, the search module 750 may select photographed image data in which a moving object is photographed before or after an event occurrence time among at least one stored image data. Thereafter, the search module 750 may sequentially search for the captured image data captured after the captured image data, and extract the final image data for which the moving object was finally confirmed.

The calculation module 770 may calculate the position P _d of the moving object in the final image data based on the last image data of the moving object extracted from the search module 750. According to an embodiment, the position P _d of the moving object may be calculated based on pixel information in the captured image data.

In addition, in order to track the moving object, the calculation module 770 includes the final image data at the time point t when the moving object was last confirmed and the previous image data captured at a time point t-1 immediately before the final image data. It is possible to predict the direction in which the moving object disappeared by calculating the 2D vector distance of the moving object in.

Accordingly, the operation module 770 may select the second intelligent image capturing apparatus C _n+1 in consideration of the position P _d of the moving object in the final image data and the direction in which the moving object disappears.

Tracking of a moving object using a conventional image photographing device, when a reporter requests tracking of a moving object to an agency having jurisdiction over the location where the event occurred, the jurisdiction requesting the reporting agency to inquire of a video photographing device photographing the location of the occurrence of the event In addition, at least one person authorized to inquire of the imaging device monitors the moving data of at least one imaging device installed on the predicted path of the moving object one by one to track the moving path of the moving object. Accordingly, tracking of a moving object using a conventional image photographing apparatus has caused a lot of manpower and time.

However, the intelligent image capturing apparatus C according to an embodiment of the present invention extracts the final image data where the moving object was last photographed, and dynamically moves the moving path of the moving object based on the extracted at least one final image data. By tracking, it is possible to provide a high-efficiency and convenient intelligent image capturing apparatus with reduced physical and temporal costs.

Referring back to FIG. 1, the object tracking system may include an object tracking device D, as described above.

The object tracking device D may be a terminal that receives tracking result data of a moving object from a plurality of intelligent image capturing devices C. According to an embodiment, the object tracking device D may be provided as an independent device or may be provided as an application in the terminal of the reporter.

More specifically, the object tracking device D may request tracking of the moving object to the plurality of intelligent image capturing devices C. Thereafter, the object tracking device D may receive tracking result data from the plurality of intelligent image capturing devices C to predict the real-time predicted location and the predicted movement path of the moving object. The object tracking device D will be described in more detail with reference to FIG. 4 below.

4 is a block diagram of an object tracking device according to an embodiment of the present invention.

Referring to FIG. 4, the object tracking device D may include a memory 1000, a communication unit 3000, a display unit 5000, and a processor 7000.

The memory 1000 may include at least one instruction for performing the processor 7000, which will be described later.

According to an embodiment, the at least one command is A command to receive a request for tracking the personal information of the reporter and a moving object from the reporter, a command to transmit the personal information to an authentication server, to request and receive authentication information for accessing at least one of the intelligent image taking devices, A command to interoperate with at least one specific intelligent image taking device that photographs an event occurrence location using the authentication information, a command to transmit identification information of a moving object to the at least one specific intelligent image taking device, and the specific intelligent A command to receive tracking result data of a moving object tracked by using the identification information from an imaging device, a command to analyze and merge the tracking result data and map data transmitted from the outside to generate analysis data, and the analysis Command to display data It may include at least one of.

The communication unit 3000 may provide a communication environment for interworking with the authentication server and the plurality of intelligent image capturing devices C.

According to an embodiment, the communication unit 3000 may receive authentication information issued from the authentication server by the authentication module 7100, which will be described later, in conjunction with the authentication server.

According to another embodiment, the communication unit 3000 is interlocked with a plurality of intelligent image capturing devices C, tracking attribute information and moving objects from at least one intelligent image capturing device C connected by the authentication information Result data and at least one final image data may be received.

According to another embodiment, the communication unit 3000 may receive map data in conjunction with an external server.

The map data may be used when calculating analysis data to be described later. The calculation of the analysis data using the map data will be described in more detail when the processor 7000 will be described later.

The display unit 5000 may display at least one information on the screen. In more detail, the display unit 5000 includes analysis data generated from the processor 7000 to be described later, at least one final image data received from at least one intelligent image capturing device, location information of the reporter input from the reporter, and Information on at least one of the occurrence locations of the event may be displayed.

According to an embodiment, the display unit 5000 may display image image information generated by the processor 7000 to be described later.

The processor 7000 may be performed by at least one instruction in the memory 1000, as described above. The operation of the processor 7000 will be described in more detail with reference to FIG. 5 below.

5 is a block diagram of a processor module in an object tracking device according to an embodiment of the present invention.

Referring to FIG. 5, the processor 7000 may perform functions of the authentication module 7100 and the analysis module 7500 by at least one instruction in the memory 1000.

The authentication module 7100 may request authentication information from the authentication server in order to query the plurality of intelligent image capturing devices C. Here, the authentication information may be an authority for accessing a plurality of intelligent image capturing devices (C).

More specifically, the authentication module 7100 may transmit personal information input from the reporter to the authentication server in order to request the inquiry of the plurality of intelligent image capturing devices C. At this time, personal information may be input from the reporter through the display unit 5000, and may include at least one of relationship information with a moving object and a reason for tracking the moving object.

Subsequently, the authentication server may inquire whether or not the reporter's intelligent image photographing devices C are eligible for inquiry based on the received reporter's personal information.

The reporting organization may check the personal information of the reporter and allow the issuance of authentication information to the authentication server. Thereafter, the authentication server may issue authentication information and transmit it to the object tracking terminal D.

On the other hand, when the authentication server receives a tracking reason requiring urgency such as disappearance or kidnapping targeted to the disabled, the elderly, minors, and dementia patients from the authentication module 7100, the authentication information is preferentially issued and reported. You can proceed to the agency.

The reporting organization may share the personal information of the reporter received from the authentication information not only with the intelligent image photographing apparatus C installed in the corresponding jurisdiction, but also with the intelligent image photographing apparatus C installed in the other jurisdictions. Accordingly, when the moving object moves to another jurisdiction, the reporter can query the intelligent image capture device C of the other jurisdiction without additional authentication by the authorized authentication information.

The analysis module 7500 may analyze and merge tracking result data synchronized by the synchronization module 730, attribute information received from the intelligent image capturing apparatus C, and map data collected by the communication unit 3000. Accordingly, the analysis model 7500 may generate analysis data for predicting the real-time predicted location and predicted movement path of the moving object.

More specifically, according to an embodiment, the analysis model 7500 includes an installation location that is property information of each of the synchronized first intelligent image capturing device C _n and the second intelligent image capturing device C _n+1 , and Using the installation height information, it is possible to correct the information of the last confirmed position P _d of each moving object. Subsequently, the analysis model 7500 captures the information of the last confirmed position P _d of the corrected moving object of the first intelligent image capture device C _n received at time t and the second intelligent image received at time t+1. It is possible to calculate a two-dimensional distance vector and a moving speed of the moving object of the last confirmed position P _d of the corrected moving object of the device C _n+1 .

The analysis model 7500 may correct the calculated two-dimensional distance vector and moving speed by reflecting the terrain, geography, or traffic information of the corresponding point extracted from the map data. Accordingly, the analysis model 7500 may generate analysis data including predicted location information for each time of the moving object.

Further, the analysis model 7500 may provide at least one of analysis data, synchronized tracking result data, event occurrence location, and reporter's current location information in the form of a video image indicated on the map.

The image image including the at least one information may be transmitted to the display unit 5000 by the analysis model 7500 and displayed.

The object tracking device according to the embodiment of the present invention has been described above. Hereinafter, an object tracking method performed on a processor in the object tracking device will be described.

6 is a flowchart of an object tracking method according to an embodiment of the present invention.

Referring to FIG. 6, the processor 7000 in the object tracking device D may receive a tracking request for a moving object from the reporter (S1000). In other words, the reporter may request tracking of the moving object from the object tracking device D. At this time, the reporter may input personal information together with the tracking request of the moving object. Here, the personal information of the reporter may include at least one of relationship information with the moving object and a reason for tracking the moving object.

The processor 7000 may transmit personal information transmitted from the reporter to the authentication server. Thereafter, the processor 7000 may receive authentication information for connection of the plurality of intelligent image capturing devices C from the authentication server (S2000).

Here, the authentication information may be a reporter's inquiry authority for the intelligent image capturing devices C received from the reporting agency. More specifically, the authentication server may inquire whether the reporter is eligible for inquiry on at least one of the intelligent image capturing devices C while transmitting the personal information of the reporter transmitted from the processor 7000 to the reporter. . The reporting agency may issue the authentication information to allow the inquiry of the at least one intelligent image capturing apparatuses C by determining the relationship with the moving object, the urgency of the event, etc., from the reporter's personal information. Thereafter, the reporting organization may transmit the issued authentication information to the authentication server. The authentication server that has received the authentication information may transmit the received authentication information back to the object tracking device D. In other words, the processor 7000 may acquire authentication information from the authentication server.

The processor 7000 may be connected to at least one intelligent image capturing apparatus using the received authentication information (S3000).

According to an embodiment, the processor 7000 may be connected to at least one intelligent image capturing device located on an expected moving path of the moving object.

According to another embodiment, the processor 7000 may be connected to at least one intelligent image capturing apparatus located within a predetermined range including the location, using the location information of the occurrence of the event input from the reporter.

The processor 7000 may transmit identification information and event occurrence time information of the moving object to the connected at least one intelligent image capturing apparatus (S4000). As described above, the moving object can be a person, an animal, or an object.

According to an embodiment, when the moving object is a human or an animal, the identification information may include at least one of physical characteristics and impression information.

According to another embodiment, when the moving object is an animal or an object, the identification information may include feature information of the object. However, the feature information of the moving object is not limited to the above-described embodiment, and all information capable of identifying a moving object corresponding to a person, animal, or object may be applicable.

The processor 7000 may receive map data received from an external server, attribute information received from a specific intelligent image capturing apparatus, captured image data, and tracking result data from the communication unit 3000 (S5000 ).

According to an embodiment, the map data may include at least one of terrain, geography, and traffic conditions.

In addition, the tracking result data may include the creation time (T _d ) of the last image data in which the moving object was last confirmed and the location (P _d ) of the moving object in the final image data.

In the following FIG. 7, a method of generating tracking result data received from an individual intelligent image capturing apparatus will be described in more detail.

7 is a flowchart illustrating a method of providing tracking result data to an object tracking device by an intelligent image photographing device according to an embodiment of the present invention.

Referring to FIG. 7, the processor 700 of the first intelligent image photographing apparatus is photographed before and after the event occurrence time, based on authentication information transmitted from the object tracking device D, event occurrence time, and identification information of a moving object. A moving object may be searched from image data (S100). Here, the first intelligent image photographing apparatus may be at least one image photographing apparatus that photographs an event occurrence site before and after an event occurrence time.

The processor 700 may extract the final image data of which the extracted moving object was last photographed (S200 ).

Thereafter, the processor 700 may extract the location P _d and the time T _d where the moving object was finally identified based on the extracted final image data (S300 ). In other words, the processor 700 may calculate tracking result data. According to an embodiment, the position P _d of the moving object may be calculated based on pixel information in the captured image data.

The processor 700 may select the second intelligent image photographing device C _n+1 (S400 ).

According to an embodiment, the processor 700 selects the second intelligent image capturing apparatus C _n+1 in consideration of at least one of the location P _d of the moving object last identified and the moving direction of the moving object. can do.

For example, the processor 700 may include 2 of the moving object in the last image data at the time point t at which the moving object was last captured and the previous image data at the time t-1 immediately before the last image data. The direction in which the moving object disappears can be predicted by calculating the dimensional vector distance.

Meanwhile, when there is no second intelligent image capturing apparatus C _n+1 capable of capturing the corresponding position Pd (S500), the processor 700 may end tracking the moving object.

The processor 700 may transmit the extracted final image data, tracking result data, and attribute information to the object tracking device D (S600).

Thereafter, the processor 700 may transmit identification information, authentication information, and tracking result data of the moving object to the second intelligent image capturing apparatus C _n+1 (S700 ). Thereafter, the processor 700 in the second intelligent image capture device C _n+1 synchronizes at least one information received from the first intelligent image capture device C _n , and then sequentially steps S100 to S700. You can proceed (S800). The steps S100 to S800 may be repeatedly performed until there is no longer an intelligent image capturing apparatus that photographs the point Pd at which the moving object was finally identified.

Referring back to FIG. 6, the processor 7000 in the object tracking device D may include at least one of attribute information, tracking result data, final image data, and map data received from the outside. It is possible to synchronize the information (S6000).

Thereafter, the processor 7000 may analyze and merge the tracking result data and map data to generate analysis data (S7000). Here, the analysis data may be data predicting a real-time predicted location and a predicted movement path of the moving object.

More specifically, according to an embodiment, the processor 7000 may install and install attribute information of each of the synchronized first intelligent image capturing device C _n and the second intelligent image capturing device C _n+1 . Using the height information, it is possible to correct the information of the last confirmed position P _d of each moving object. Subsequently, the processor 7000 receives information on the last identified position P _d of the corrected moving object of the first intelligent image capturing device C _n received at time t and the second intelligent image capturing device received at time t+1. It is possible to calculate a two-dimensional distance vector and a moving speed of the moving object of the last confirmed position P _d of the corrected moving object of (C _n+1 ).

In addition, the processor 7000 may correct the calculated two-dimensional distance vector and moving speed by reflecting the terrain, geography, or traffic information of the corresponding point extracted from the map data. Accordingly, the processor 7000 may generate analysis data including expected location information for each hour of the moving object.

The processor 7000 may provide at least one of analysis data, synchronized tracking result data, event occurrence location, and current location information of the reporter in the form of a video image indicated on the map.

Thereafter, the processor 7000 may transmit at least one information in the form of a video image to the display unit 5000 (S8000). Accordingly, the reporter may check at least one moving object information in the form of a video image through the object tracking device D.

In the above, an intelligent image photographing apparatus and an object tracking apparatus and method using the same according to an embodiment of the present invention have been described.

An intelligent image photographing apparatus and an object tracking apparatus and method using the same according to an embodiment of the present invention include a plurality of intelligent image photographing apparatuses that dynamically track movement of a moving object and attribute information received from the plurality of intelligent image photographing apparatuses By including the object tracking device that analyzes the final image data and tracking result data and map data received from an external server to calculate the predicted position of a moving object, it includes a high-efficiency and high-efficiency tracking system that can accurately and accurately track moving objects. It is possible to provide a highly-utilized intelligent image capturing apparatus, an object tracking system including the same, and an object tracking method using the same.

The operation of the method according to an embodiment of the present invention can be implemented as a computer-readable program or code on a computer-readable recording medium. The computer-readable recording medium includes all kinds of recording devices in which data readable by a computer system is stored. The computer-readable recording medium can also be distributed over network coupled computer systems so that computer-readable programs or codes are stored and executed in a distributed fashion.

In addition, the computer-readable recording medium may include a hardware device specially configured to store and execute program instructions, such as a rom, a ram, and a flash memory. Program instructions may include high-level language code that can be executed by a computer using an interpreter, etc., as well as machine code such as those produced by a compiler.

While some aspects of the invention have been described in the context of an apparatus, it can also represent a description according to a corresponding method, where a block or apparatus corresponds to a method step or a feature of a method step. Similarly, aspects described in the context of a method may also be represented by features of corresponding blocks or items or corresponding devices. Some or all of the method steps may be performed by (or using) a hardware device, such as, for example, a microprocessor, programmable computer, or electronic circuit. In some embodiments, one or more of the most important method steps may be performed by such an apparatus.

In embodiments, a programmable logic device (eg, field programmable gate array) may be used to perform some or all of the functionality of the methods described herein. In embodiments, the field programmable gate array may work with a microprocessor to perform one of the methods described herein. In general, the methods are preferably performed by some hardware device.

Although described above with reference to the preferred embodiments of the present invention, those skilled in the art can variously modify and change the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that you can.

100: memory 300: storage
310: first storage 330: second storage
350: third storage 500: communication unit
700: processor 710: authentication module
730: synchronization module 750: search module
770: operation module 1000: memory
3000: communication unit 5000: display unit
7000: processor 7100: authentication module
7500: Synchronization module C: Intelligent video recording device
D: Object tracking device

Claims (20)

It relates to an object tracking device that tracks a moving object in conjunction with at least one intelligent video recording device,
Memory; And
It includes a processor (Processor) for performing at least one instruction stored in the memory (Memory),
The at least one command,
Command to request the authentication server to authenticate the tracer,
A command for accessing at least one intelligent image photographing apparatus for photographing an event occurrence location among the intelligent image photographing apparatuses using the authentication information received from the authentication server,
A command to transmit identification information of a moving object to the at least one intelligent image capturing device,
A command to receive tracking result data of a moving object from at least one of the intelligent image capturing devices, and
And an instruction to analyze and merge the tracking result data and map data transmitted from the outside to generate analysis data. According to claim 1,
When the authentication request is requested, the authentication server transmits personal information transmitted from the tracking requester to the reporting agency, and when the reporting agency permits inquiry of the intelligent video recording devices of the tracking requester, issues the authentication information. Device. According to claim 1,
And the personal information includes at least one of a relationship between a tracking requester and a moving object and a reason for tracking the moving object. According to claim 1,
The at least one command,
After the command to receive the tracking result data of the moving object from the at least one intelligent imaging device,
And at least one attribute information in the intelligent image capturing apparatus and a command to allow the moving object to receive the last captured image data. According to claim 4,
The tracking result data includes the time at which the final image data was generated and the location information of a moving object in the final image data. According to claim 4,
The at least one command,
After the command to allow the attribute information and the moving object in the at least one intelligent image capturing apparatus to receive the last image data captured last,
And an instruction to synchronize information received from the at least one intelligent image capturing apparatus. According to claim 1,
The at least one command,
After the command to analyze and merge the tracking result data and map data transmitted from the outside to generate analysis data,
A command for receiving tracking result data of a moving object from another intelligent image capturing device in which the identification information is shared by at least one intelligent image capturing device,
And a command for analyzing and merging the tracking result data and the map data of the other intelligent image capturing device to generate new analysis data. According to claim 4,
The analysis data includes at least one of real-time predicted location information and predicted movement distance information of a moving object, analyzed using at least one of the attribute information, the tracking result data, and the map data. . The method of claim 8,
The predicted location information is calculated by reflecting at least one of terrain, geography, and traffic information of the map data in the two-dimensional distance vector and movement speed data of the moving object calculated from the attribute information and the tracking result data, Object tracking device. An object tracking method of an object tracking device interworking with at least one intelligent imaging device,
Requesting authentication of the trace requester to the authentication server;
Accessing at least one intelligent image photographing apparatus for photographing an event occurrence location among the intelligent image photographing apparatuses using the authentication information received from the authentication server;
Transmitting identification information of a moving object to the at least one intelligent image capturing apparatus;
Receiving tracking result data of a moving object from the at least one intelligent image capturing apparatus; And
And analyzing and merging the tracking result data and map data transmitted from the outside to generate analysis data. The method of claim 10,
When the authentication request is requested, the authentication server transmits personal information transmitted from the tracking requester to the reporting agency, and when the reporting agency permits inquiry of the intelligent video recording devices of the tracking requester, issues the authentication information. Way. The method of claim 10,
The personal information includes at least one of a relationship between a tracking requester and a moving object and a reason for tracking the moving object. The method of claim 10,
After receiving the tracking result data of the moving object from the at least one intelligent imaging device,
And receiving attribute information in the at least one intelligent image capturing apparatus and final image data of which a moving object was last captured. The method of claim 13,
The tracking result data includes the time at which the final image data was generated and location information of a moving object in the final image data. The method of claim 10,
After receiving the attribute information in the at least one intelligent image capturing apparatus and the final image data of which the moving object was last captured,
And an instruction to synchronize information received from the at least one intelligent image capturing apparatus. The method of claim 10,
After the step of analyzing and merging the tracking result data and the map data transmitted from the outside to generate analysis data,
Receiving tracking result data of a moving object from another intelligent image capturing device in which the identification information is shared by at least one of the intelligent image capturing devices; And
And analyzing and merging the tracking result data and the map data of the other intelligent image capturing device to generate new analysis data. The method of claim 13,
The analysis data includes at least one of real-time predicted location information and predicted movement path information of a moving object, analyzed using at least one of the attribute information, the tracking result data, and map data. An intelligent imaging device for dynamically tracking a moving object,
Memory; And
It includes a processor (Processor) for performing at least one instruction in the memory (Memory),
The at least one command,
Command to receive authentication information, event occurrence time and identification information of a moving object,
A command to search for a moving object using the identification information, targeting image data captured within the event occurrence time range,
A command to sequentially retrieve the captured image data based on the captured image data from which the moving object was searched, and extract the final image data captured by the moving object,
A command to extract tracking result data including a shooting time of the final image data and a position of a moving object in the final image data,
A command to select another intelligent image taking device that photographs the location of the moving object in the final image data, and
And an instruction to transmit at least one of attribute information, the authentication information, the identification information, and the tracking result data to the other intelligent image capturing apparatus. The method of claim 18,
The command to select another intelligent image taking device for photographing the position of the moving object in the final image data,
A command to calculate a moving direction of a moving object in the final image data, and
And an instruction to photograph a location of the moving object in the final image data and select the other intelligent image capturing device positioned on the moving direction of the moving object. The method of claim 18,
The other intelligent image capturing device, the intelligent information recording device for synchronizing at least one of the attribute information, the authentication information, the identification information and the tracking result data.

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