KR101248054B1 - Object tracking system for tracing path of object and method thereof - Google Patents

Abstract

The present invention relates to a system and method for tracking an object having a plurality of network cameras. The present invention provides a plurality of network cameras fixedly installed in a specific place; And a network connecting the plurality of network cameras to each other, wherein each of the plurality of network cameras photographs a subject and tracks a movement path of the person when a person is found, and the person when the person leaves the photographing area. It provides an object tracking system that transmits the movement information of the person to at least one adjacent network camera that is expected to reach.

Description

Object tracking system for tracing path of object and method

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a network camera, and more particularly, to an object tracking system and method for tracking a moving path of an object having a plurality of network cameras.

Network cameras are used to secure specific locations. The network camera is installed inside a large building such as a research institute or a public institution or inside a small building such as a home, a convenience store or a bank, and analyzes the image output from the network camera to monitor the network camera in real time or later. To identify external intruders.

Network cameras used in security systems can detect and track intruders, but have limitations in determining where they are when they leave the view area. Specifically, the conventional technology for location tracking is often installed in a structure in which the radio recognition device is fixed, even when installed in a mobile object to track the location using a radio frequency identification (RFID) card or the like or wireless communication Location tracking through communication with the central control unit through a portable terminal that performs the general is common. In other words, if a device that communicates wirelessly with the central management unit is installed on the moving object, real-time location tracking is possible. In the case of a dispatch system for arrest, a system that detects an intruder by a network camera or a surveillance sensor and contacts a security company for arrest or arrest is usually used.

In other words, in the prior art, a location tracking method can accurately track a location through RFID or a portable terminal. However, the location tracking method is limited to a visitor or device for which the location tracking target has already been approved, and the intruder is not authorized by the security system. It should be possible to monitor and track, but not in the traditional way. In addition, location tracking is not possible if an authorized visitor loses the device.

In addition, the network camera cannot track further when the object leaves the surveillance area and cannot track the direction and path of the movement afterwards. Even if an intruder is found by a network camera or surveillance sensor, and a security company is contacted for arrest or arrest, the intruder is likely to escape during the dispatch time, and the location where the security company dispatches is also located. There is no choice but to move out of the center of the intruder, the real difference between the location will be bound to. Therefore, it is difficult to arrest or arrest an intruder.

It is an object of the present invention to provide an object tracking system that can track an object over a large area as well as track an object for a long time.

Another object of the present invention is to provide an object tracking method of the object tracking system.

The present invention to achieve the above object,

A plurality of network cameras fixedly installed in a specific place; And a network connecting the plurality of network cameras to each other, wherein each of the plurality of network cameras photographs a subject and tracks a movement path of the person when a person is found, and the person when the person leaves the photographing area. It provides an object tracking system that transmits the movement information of the person to at least one adjacent network camera that is expected to reach.

Each of the plurality of network cameras is provided with a Global Positioning System (GPS) to know its own location.

The object tracking system includes a central control unit, a wireless terminal, and a control unit. The central control unit is connected to the network to receive image data from the plurality of network cameras to determine a moving path of the person. The wireless terminal may control an operation of a plurality of network cameras, and the wireless terminal receives a movement path of the person while performing wireless communication with the plurality of network cameras, and the controller responds to a signal transmitted from the central controller. The image data or the movement information of the person is transmitted to the central control unit, and the movement information of the person is transmitted to the wireless terminal in response to a signal transmitted from the wireless terminal.

The movement information includes a movement speed of the person and a distance between the network camera and the person.

Each of the plurality of network cameras includes: an imaging unit which photographs a subject to generate image data; A transceiver for transmitting an internal signal to the outside and receiving an external signal; A storage unit for receiving and storing external information related to movement of a person transmitted from another network camera through the transceiver; And if the person is found by analyzing the image data, tracking the movement path of the person, and if the external information is stored in the storage unit, whether the person included in the external information and the person included in the image data are the same person. Comparing the path of movement of the person in comparison with the same person, setting at least one adjacent network camera that the person is expected to reach if the person leaves the shooting area, and the set network camera of the person A monitoring unit for transmitting movement information is provided.

The monitoring unit may include: an object detecting unit analyzing the image data to determine whether there is a moving object; A detection time setting unit controlling the object detection unit to detect the object at a specific time; A person discriminating unit determining whether the moving object is a person; An external information checking unit to confirm whether external information is stored in the storage unit; An external information reader for reading external information stored in the storage; A person comparison unit comparing the person included in the external information with the person included in the image data to determine whether the person is the same person; A movement tracking unit configured to generate movement information by tracking a movement path of the person; A final position checking unit for detecting the deviation position when the person leaves the photographing area; And a linked camera setting unit configured to set at least one adjacent network camera that the person is expected to reach when the person leaves the photographing area.

In order to achieve the above another object, the present invention,

A method of tracking a object by each of the plurality of network cameras, the method comprising: (a) photographing a subject to generate image data, and analyzing the image data to move the object; Detecting; (b) if a moving object is detected, analyzing the object to determine whether it is a human or not; (c) if the moving object is a person, analyzing a movement state of the person; (d) identifying the out of position when the person is out of the photographing range; (e) establishing at least one adjacent network camera that is expected to arrive at the person based on the location away from the person; And (f) generating a protocol for the movement information of the person and transmitting the generated protocol to the set at least one network camera.

Step (c) comprises: (c-1) if the moving object is a human, checking whether there is external information received from another network camera; And (c-2) comparing the person included in the external information with the person included in the image data if the external information is present, and analyzing the movement state of the person if the same person is the same as the comparison result. a) returning to step a.

According to an embodiment of the present invention, when a person is captured by a network camera, the network camera detects the movement path of the person, and when the person leaves the photographing area of the network camera, the person is expected to reach the movement information of the person. Transmit to at least one adjacent network camera. Thus, the person can be tracked for a long time in a wide range.

In addition, when the arrester attempting to arrest the illegal person follows a illegal person with a wireless terminal when the person is an illegal person, the network camera of the present invention may perform wireless communication with the wireless terminal. It is possible to grasp the illegal state of the illegal person through the wireless terminal while moving, making it very easy to arrest the illegal person.

1 is a block diagram of an object tracking system according to the present invention.
FIG. 2 shows an example of a configuration of the network camera shown in FIG. 1.
3 is a detailed block diagram of the network camera shown in FIG. 1.
4 is a view for explaining a movement path of a person.
5 illustrates a zoom magnification state of a subject.
FIG. 6 shows an example of movement information output from the monitoring unit shown in FIG. 3.
7 is a block diagram illustrating an object tracking method according to the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. Like reference numerals in the drawings denote like elements.

1 is a block diagram of an object tracking system according to the present invention. Referring to FIG. 1, the object tracking system 101 includes a plurality of network cameras 111 to 116, a network 121, a central controller 131, and a wireless terminal 141.

The plurality of network cameras 111 to 116 are fixedly installed in one place, respectively. Each of the plurality of network cameras 111 to 116 includes a global positioning system (GPS), and not only knows its own position but also shares this position with each other. As described above, the plurality of network cameras 111 to 116 respectively have information on the positions of adjacent network cameras, so that the adjacent network cameras can exchange necessary information. Each of the plurality of network cameras 111 to 116 includes a wireless transceiver, and may wirelessly communicate with the wireless terminal 141 through the wireless transmitter.

The network 121 connects a plurality of network cameras 111 to 116 so that they can exchange information with each other. The network 121 also connects the plurality of network cameras 111 to 116 to the central control unit 131. The network 121 may be configured as a local area network (LAN) or may be configured as the Internet. In some cases, the network 121 may be configured wirelessly.

The central controller 131 may receive information from the plurality of network cameras 111 to 116, and may control operations of the plurality of network cameras 111 to 116. The central control unit 131 communicates with the wireless terminal 141. That is, the central control unit 131 may also transmit information received from the plurality of network cameras 111 to 116 to the wireless terminal 141, or may receive a request from the wireless terminal 141. 116). The wireless terminal 141 includes a mobile phone and navigation.

The plurality of network cameras 111 to 116 photograph the subject and transmit the photographed object to the central control unit 131 through the network 121, so that the central control unit 131 is provided with the plurality of network cameras 111 to 116. You can monitor the situation.

In addition, each of the plurality of network cameras 111 to 116 photographs a subject, and when a person is found, tracks the movement path of the person, and at least adjacent ones expected to reach the person when the person leaves the photographing area. It transmits the movement information of the person to one network camera.

In addition, the plurality of network cameras 111 to 116 may transmit the movement information of the person to the central control unit 131 so that the central control unit 131 may grasp the movement state of the person. Therefore, when the person is an intruder or runaway, the central control unit 131 may dispatch an arrester to arrest the intruder as soon as the mobile unit receives the movement information transmitted from some of the plurality of network cameras 111 to 116. .

As described above, according to the present invention, when a person, for example, an illegal person is captured by one of the plurality of network cameras 111 to 116, the network camera recognizes the movement path of the illegal person, and the illegal person is connected to the network. When the camera moves out of the photographing area, the illegal information can be transmitted to at least one adjacent network camera predicted to reach the illegal user, thereby tracking the illegal person for a long time in a wide range.

In addition, when the arrester having the wireless terminal 141 intends to arrest the illegal person, the wireless terminal 141 may perform wireless communication with the plurality of network cameras 111 to 116 through the wireless terminal 141. The arrester can grasp the illegal state of the illegal person while performing wireless communication with the plurality of network cameras 111 to 116 while moving with the wireless terminal 141, making it very easy to arrest the illegal person.

FIG. 2 shows an example of the configuration of the network camera 111 shown in FIG. 1. Referring to FIG. 2, the network camera 111 may be installed in the protective window 211.

The protective window 211 is made of a transparent material. Therefore, the network camera 111 is installed inside the protective window 211, but can photograph the outside. At this time, the protective window 211 is preferably manufactured so that the network camera 111 can not be seen from the outside. The protective window 211 not only protects the network camera 111 from the external environment but also hides it from the eyes of people. The protective window 211 is installed to be fixed to a specific place 221, for example, the ceiling. If necessary, the network camera 111 may be installed without the protective window 211.

The network camera 111 is fixed at a specific place for stable shooting. The network camera 111 performs a panning operation that rotates 360 degrees laterally and a tilting operation that rotates 90 degrees upward and downward, and also performs a zooming operation that enlarges or reduces a subject. .

3 is a detailed block diagram of the network camera 111 shown in FIG. Referring to FIG. 3, the network camera 111 includes an imaging unit 311, a monitoring unit 320, a storage unit 341, a control unit 351, and a transmission / reception unit 361.

The imaging unit 311 photographs the subject in front. The imaging unit 311 includes an imaging device unit including at least one lens including a lens system configured to pass an image of a front subject, and a plurality of imaging devices configured to convert an image transmitted from the lens system into an electrical signal and output the electrical signal. Can be. The lens system may include a zoom lens having a zoom function and a focus lens having a focus adjustment function. The lens system may also include an optical low pass filter that removes optical noise. The imaging device unit includes a charge coupled device (CCD) or a complementary metal oxide semiconductor (CMOS) to convert an image transmitted from the lens system into an analog signal. The imaging unit 311 may also include an analog-to-digital converter that converts the analog signal into a digital signal.

The monitoring unit 320 detects a moving object by analyzing the image data received from the imaging unit 311 and determines whether the moving object is a human. If it is a person, the movement path of the person is tracked, and at least one adjacent network camera that the person is expected to reach when the person leaves the shooting area is set, and the movement information of the person is set by the set network camera. send. The monitoring unit 320 may include a detection time setting unit 321, an object detecting unit 322, a person determining unit 323, an external information checking unit 324, an external information reading unit 325, a person comparing unit 326, The movement tracking unit 327, the final positioning unit 328, the linked camera setting unit 329, and the protocol setting unit 330 are provided.

The detection time setting unit 321 detects a moving object by analyzing the image data input by the object detection unit 322 once every specific time. The specific time is set as default, but the setting can be changed by the user. In particular, when an external intruder is found, it is urgent to monitor the operation of the intruder. In this case, the specific time may be set in seconds.

The object detector 322 detects a moving object by analyzing image data received from the imaging unit 311. The object detector 322 continuously inputs the image data from the image pickup unit 311, and analyzes the image data at that time when the monitoring time setting unit 321 reaches the time set.

The person determining unit 323 determines whether the object is a person or another object when a moving object is detected by the object detecting unit 322. As a method of discriminating an object, when the moving object has a vertical shape, it is determined as a person, and when it is a horizontal shape, it is determined as a vehicle. This determination method is based on the information about each object stored in the database. The database may be provided in each of the plurality of network cameras (111 to 116 of FIG. 1), and one may be provided in the central control unit (131 of FIG. 1) to provide a plurality of network cameras (111 to 116 of FIG. 1). ) Can be provided for joint use when needed.

When the external information checking unit 324 receives a signal from the person determining unit 323 indicating that a person has been found, the external information checking unit 324 sends a signal to the storage unit 341 to check whether external information received from an adjacent network camera is stored. If the external information is present, the external information checking unit 324 sends a signal to the external information reading unit 325 to inform the fact that the external information exists, and if there is no external information, sends a signal to the movement tracking unit 327. It tells you that there is no external information.

When the external information reading unit 325 receives a signal from the external information checking unit 324 that the external information is stored in the storage unit 341, the external information reading unit 325 reads the external information stored in the storage unit 341 and compares the person with the human comparison unit 326. To send.

The person comparing unit 326 compares the external information provided by the external information reading unit 325 with the person information provided by the person determining unit 323. That is, the person comparator 326 is a person included in the information output from the external information reader 325 and a person included in the image data output from the imaging unit 311, that is, the person discriminating unit 323 is output. It is determined whether the person included in the information is the same person, and the result is transmitted to the movement tracking unit 327.

The movement tracking unit 327 inputs person information from the person determining unit 323 and operates in response to output signals of the external information checking unit 324 and the person comparing unit 326. That is, when the movement tracking unit 327 receives a signal from the external information checking unit 324 that there is no external information in the storage unit 341, the movement tracking unit 327 analyzes the information transmitted from the person determining unit 323 and moves the person included therein. Tracks and waits for an output signal from the person comparator 326 when the external information checker 324 receives a signal indicating that external information exists in the storage 341. If the person included in the information output from the external information reader 325 and the person included in the information output from the person discriminating unit 323 are the same person from the person comparator 326, the movement tracking unit 327 Tracks the movement state of the person included in the information output from the person determining unit 323, and the person and the person determining unit 323 included in the information output from the external information reading unit 325 from the person comparing unit 326. If the person included in the information output from the) is different, the movement tracking unit 327 does not track the movement state of the person included in the information output from the person determining unit 323.

The movement tracking unit 327 calculates the movement speed of the person and the distance between the network camera 111 and the person when tracking the movement state of the person. The movement tracker 327 may use a zoom function to calculate a movement speed of a person. For example, as shown in FIG. 5, by enlarging the image 511 captured by the network camera 111 to twice the size, it is easy to measure the moving distance of the person and very easily calculate the speed of the person. . That is, in FIG. 5, the screen 511 on the left is a screen on which the first person is detected, and the screen 521 on the right is a state in which the first person is doubled and the pan angle is moved 3 degrees, that is, pan / tilt. This screen shows the state where the coordinate is changed from 30/3 to 33/3. In this way, the movement speed of the person is calculated using the change of the pan coordinates and the tilt coordinates and the zoom magnification. This method can also be applied to the calculation of the distance between the network camera 111 and the person. Since a person is always adjusted to the same zoom factor, the distance according to the zoom factor can be calculated. The movement tracker 327 transmits the movement information of the person to the protocol generator 330.

The final position checking unit 328 receives the output signal of the movement tracking unit 327 and extracts the final position where the person tracking in the movement tracking unit 327 leaves the photographing area of the network camera 111, and extracts the final position. The information is transmitted to the linked camera setting unit 329.

The companion camera setting unit 329 sets the at least one adjacent network camera positioned in the direction by predicting the direction in which the person moves with the final position of the person received from the final location checking unit 328. For example, as shown in FIG. 4, when a person enters the A position of the network camera 111 and assumes the photographing area 111a from the position of B, the linked camera setting unit 329 is connected to the adjacent network camera. The two adjacent network cameras 112 and 113 corresponding to the vertices of the triangle are set by drawing a triangle including the position of B based on the position of the network camera 111 among the fields 112 to 114. That is, it is predicted that the person captured by the network camera 111 moves to one of the two adjacent network cameras 112 and 113 set above. At this time, by further expanding the prediction range, the network camera 114 which is close to the network camera 113 close to the position of B may be further set as the movement predicted position of the person. The companion camera setting unit 329 transmits the coordinates of the set neighboring network cameras 112 and 113 to the protocol generator 330.

The protocol generating unit 330 receives the movement information of the person transmitted from the movement tracking unit 327 and the neighboring camera information received from the linked camera setting unit 329, generates a protocol, and sets at least the set by the linked camera setting unit 329. Send to one network camera. At this time, the protocol generator 330 transmits the protocol to the set at least one network camera through the transceiver 361.

The storage unit 341 stores external information transmitted from another network camera. The external information includes movement information of a person. The storage unit 341 may be configured as a RAM, a flash memory, or may be configured as a hard disk.

The transceiver 361 transmits data transmitted from the image capturing unit 311 or the monitoring unit 320 to the central control unit 131, the wireless terminal 141, and adjacent network cameras by wire or wirelessly, or the central control unit. 131, the wireless terminal 141 receives a signal transmitted from adjacent network cameras, and transmits the signal to the controller 351.

The control unit 351 receives a signal input through the transmission / reception unit 361 and transfers output data of the imaging unit 311 or the monitoring unit 320 to the transmission / reception unit 361 or receives a request from the monitoring unit 320. Pan / tilt / zoom operations of the two network cameras 111 to 116 of FIG. 1 or the operation of the components included in the monitoring unit 320 may be controlled. That is, the control unit 351 is the central control unit for the image data output from the imaging unit 311 or the movement information of the person output from the monitoring unit 320 in response to the signal transmitted from the central control unit (131 of FIG. 1). (131 in FIG. 1), and the movement information of the person is transmitted to the wireless terminal (141 in FIG. 1) in response to a signal transmitted from the wireless terminal (141 in FIG. 1). The configuration of the movement information of the person is as shown in FIG.

FIG. 6 shows an example of movement information output from the monitoring unit 320 shown in FIG. 3. Referring to FIG. 6, the movement information is composed of one packet 611, and the packet 611 includes a source address, an object address, a pan, a tilt, and an object. object, speed, distance, and flag.

The source address represents the location information value of the network camera (111 of FIG. 3) which captured a person based on the GPS mounted on the network camera (111 of FIG. 3).

The object address is a GPS position information value of a person and is calculated based on pan / tilt angle and distance information of the network camera 111 of FIG. 3.

Pan represents pan coordinates of the network camera (111 in FIG. 3) which captured a person.

Tilt represents the tilt coordinates of the network camera (111 of FIG. 3) which captured a person.

The object is information analyzed by the monitoring unit 320 of FIG. 3 to indicate whether the moving object is a human or another object.

The speed represents the movement speed of the person analyzed by the monitoring unit 320 of FIG. 3.

The distance represents the distance between the network camera (111 of FIG. 3) and the person analyzed by the monitoring unit 320 of FIG. 3.

The flag indicates whether information is detected for the first time, information during movement tracking, or final information outside the photographing area of the network camera (111 in FIG. 3).

7 is a block diagram illustrating an object tracking method according to the present invention. Referring to FIG. 7, the object tracking method includes first to eighth steps 711 to 781. A method of tracking a moving object by the network camera 111 will be described with reference to FIGS. 1 and 3. Since the plurality of network cameras 111 to 116 all perform the same operation, the operation of the network camera 111 will be described.

In a first step 711, the network camera 111 photographs a subject to generate image data, and analyzes the image data to detect a moving object. Detection of such objects is performed once at regular time intervals.

In a second step 721, the network camera 111 analyzes the image data, and if a moving object is detected, analyzes the moving object to determine whether or not it is a person.

In a third step 731, if the moving object is a person, the network camera 111 checks whether external information received from another network camera is stored in the storage 341.

In a fourth step 741, if the external information is stored in the storage 341, the network camera 111 extracts a person included in the external information and compares the person with the person included in the image data. As a result of the comparison, if the person included in the external information and the person included in the image data are the same person, the fifth step 751 is performed. If the same person is not the same person, the process returns to the first step 711. If the external information is not stored in the storage unit 341, the fourth step 741 is omitted and the fifth step 751 is performed.

In a fifth step 751, the network camera 111 analyzes a movement state of a person included in the image data. At this time, the movement speed of the person and the distance between the network camera 111 and the person are calculated.

In a sixth step 761, if the person is out of the photographing range of the network camera 111, the deviation position is determined.

In a seventh step 771, at least one adjacent network camera in which the person is expected to arrive is set by predicting the movement path of the person based on the position away from the person.

In an eighth step 781, a protocol of the movement information of the person is generated and transmitted to the set at least one network camera. At this time, when the network camera 111 receives the request signal from the wireless terminal 141, the network camera 111 also transmits the protocol to the wireless terminal 141. Also, when the network camera 111 receives the request signal from the central control unit 131, the network camera 111 transmits the protocol to the network ( It also transmits to the central control unit 131 through 121.

As described above, when an illegal person such as an intruder or a jailbroken is captured by the network camera 111, the network camera 111 tracks the illegal person's moving path, and then the illegal person uses the network camera 111 to capture a photographing area. When the offender is transferred, the illegal person's movement information is transmitted to at least one adjacent network camera expected to reach the illegal person, so that the state of the illegal person's movement can be tracked to the end, so that the illegal person can be arrested accurately and quickly. have.

The object tracking system (101 in FIG. 1) and the method of the present invention can be installed in prisons and used to arrest prisoners, and police officers can be used to arrest escapers who are escaping in vehicles. In the case of trying to arrest the escaper who is escaping into the vehicle, the monitoring unit 320 of FIG. 3 determines the vehicle instead of the person. As described above, the present invention can analyze and determine a moving path of a moving object other than a human.

Although the present invention has been described with reference to the embodiments shown in the drawings, it is to be understood that various modifications and equivalent embodiments may be made by those skilled in the art without departing from the scope of the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

Claims (10)

A plurality of network cameras fixedly installed in a specific place;
A network connecting the plurality of network cameras to each other; And
Having a central control unit connected to the network,
Each of the plurality of network cameras,
When a person is found while photographing a subject, the movement path of the person is tracked, and when the person leaves the photographing area, the movement information of the person is transmitted to at least one adjacent network camera that the person is expected to reach.
A control unit which transmits image data or movement information of the person to the central control unit in response to a signal transmitted from the central control unit, and transmits movement information of the person to the wireless terminal in response to a signal transmitted from a wireless terminal; Object tracking system characterized in that it comprises. Claim 2 has been abandoned due to the setting registration fee. The method of claim 1, wherein each of the plurality of network cameras,
An object tracking system having a Global Positioning System (GPS) to know its position. Claim 3 has been abandoned due to the setting registration fee. The method of claim 1, wherein the central control unit,
Receiving image data from the plurality of network cameras to determine the movement path of the person, and can control the operation of the plurality of network cameras if necessary. Claim 4 has been abandoned due to the setting registration fee. The object tracking system of claim 1, wherein the plurality of network cameras transmit the movement path of the person to the wireless terminal while performing wireless communication with the wireless terminal. delete The object tracking system of claim 1, wherein the movement information includes a movement speed of the person and a distance between the network camera and the person. The method of claim 1, wherein each of the plurality of network cameras,
An imaging unit for photographing a subject to generate image data;
A transceiver for transmitting an internal signal to the outside and receiving an external signal;
A storage unit for receiving and storing external information related to movement of a person transmitted from another network camera through the transceiver; And
When the person is found by analyzing the image data, the moving path of the person is tracked. When the external information is stored in the storage unit, the person included in the external information and the person included in the image data are compared with each other. To track the movement path of the person in the case of the same person, set at least one adjacent network camera that the person is expected to reach when the person leaves the photographing area, and move the person to the set network camera. Object tracking system comprising a monitoring unit for transmitting information. The method of claim 7, wherein the monitoring unit
An object detecting unit analyzing the image data to find out whether there is a moving object;
A detection time setting unit controlling the object detection unit to detect the object at a specific time;
A person discriminating unit determining whether the moving object is a person;
An external information checking unit to confirm whether external information is stored in the storage unit;
An external information reader for reading external information stored in the storage;
A person comparison unit comparing the person included in the external information with the person included in the image data to determine whether the person is the same person;
A movement tracking unit configured to generate movement information by tracking a movement path of the person;
A final position checking unit for detecting a position where the person is out of the photographing area; And
And a linked camera setting unit for setting at least one adjacent network camera that the person is expected to reach when the person leaves the photographing area. delete A method comprising a plurality of network cameras interconnected by a network, wherein each of the plurality of network cameras tracks an object,
(a) photographing a subject to generate image data, and analyzing the image data to detect a moving object;
(b) if a moving object is detected, analyzing the object to determine whether it is a human or not;
(c) if the moving object is a person, analyzing a movement state of the person;
(d) determining the location of deviation when the person is outside the photographing range;
(e) establishing at least one adjacent network camera that is expected to arrive at the person based on the location away from the person; And
(f) generating a protocol for the movement information of the person and transmitting it to the set at least one network camera,
The step (c)
(c-1) if the moving object is a human, checking whether there is external information received from another network camera; And
(c-2) if the external information is present, the person included in the external information and the person included in the image data are compared with each other, and as a result of the comparison, if the same person is analyzed, the movement state of the person is analyzed; And returning to step 1).

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