CN110855941A - Multi-view expansion method and device based on edge information mining - Google Patents
Multi-view expansion method and device based on edge information mining Download PDFInfo
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- CN110855941A CN110855941A CN201911066092.2A CN201911066092A CN110855941A CN 110855941 A CN110855941 A CN 110855941A CN 201911066092 A CN201911066092 A CN 201911066092A CN 110855941 A CN110855941 A CN 110855941A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
Abstract
The invention discloses a multi-view expansion method and a device based on edge information mining.A first camera tracks and shoots a target, downloads a map containing position information of cameras around the area where the first camera is located, selects a second camera which continues to track from the cameras around the area where the first camera is located when the target is about to depart from the visual field of the first camera, and sends characteristic information of the target and information of a video stream receiver to the second camera, and the second camera feeds back a source IP address and a port number of a video stream to the first camera; and sending the source IP address and the port number of the video stream sent by the second camera to a video stream receiver, informing the video stream receiver of preparing to receive the video stream sent by the second camera, informing the second camera of sending the video stream, and finishing switching. According to the method and the system, the cameras are automatically switched, a central management server is not required to intervene and coordinate, and linkage replacing tracking work among the cameras is achieved.
Description
Technical Field
The application belongs to the technical field of video tracking, and particularly relates to a multi-view expansion method and device based on edge information mining.
Background
Video monitoring is an important component of a safety precaution system, and is widely applied to many occasions due to intuition, accuracy, timeliness and rich information content. In recent years, with the rapid development of computers, networks, image processing and transmission technologies, the popularization trend of video monitoring is more and more obvious. In an urban video monitoring system, if a suspected target appears in the field of view of a monitoring picture, the suspected target needs to be tracked. In the current technical scheme, pictures are generally switched manually for tracking, or a management server makes a plan to designate a plurality of cameras for tracking shooting according to a preset route of a target.
However, due to uncertainty of target movement, a plan cannot be made to designate a plurality of cameras for tracking shooting, and the technical scheme of manually switching the picture tracking has the biggest problem of manpower consumption and the second problem of easy careless tracking.
Therefore, how to perform tracking shooting on the target still remains a problem to be solved in the field.
Disclosure of Invention
The application aims to provide a multi-view expansion method and device based on edge information mining, a camera for shooting next time is automatically selected through the mining of the edge information, and the problem that the prior art is difficult to automatically track and shoot a target is solved.
In order to achieve the purpose, the technical scheme of the application is as follows:
a multi-view expanding method based on edge information mining is used for a video monitoring system to track a target and comprises the following steps:
the method comprises the steps that a first camera finds a target to be tracked, tracks and shoots the target, and sends a video stream which is tracked and shot to a video stream receiver;
the first camera downloads a map containing the position information of peripheral cameras in the area where the first camera is located;
when the target is about to leave the own visual field, the first camera determines the own direction according to the electronic compass information, and selects a second camera for continuous tracking from the peripheral cameras in the visual field according to the position information of the first camera and the peripheral cameras in the visual field;
the first camera sends the characteristic information of the target and the information of the video stream receiver to the second camera, and the second camera feeds back the source IP address and the port number of the video stream to the first camera;
the first camera sends the source IP address and the port number of the video stream sent by the second camera to a video stream receiver, and informs the video stream receiver of preparing to receive the video stream sent by the second camera;
the first camera informs the second camera to send the video stream while stopping sending the video stream to the video stream receiver itself.
Optionally, the selecting a second camera for continuous tracking from the peripheral cameras in the field of view according to the position information of the second camera and the peripheral cameras in the field of view includes:
calculating an included angle between a connecting line from the peripheral camera to the first camera in the self-vision range and the orientation of the first camera, and selecting the camera with the smallest included angle as a second camera;
further, the video monitoring system further includes a central management server, where the first camera notifies the second camera to send the video stream, and after stopping sending the video stream to the video stream receiver, the video monitoring system further includes:
the first camera sends the switching information to the central management server, and the central management server records the switching information as a log, wherein the switching information comprises the information of the second camera and the switching time, so that the central management server informs the second camera to stop sending the video stream when receiving the termination request of the video stream receiver.
Further, the first camera sends the feature information of the target and the information of the video stream receiver to the second camera, and the method further includes:
the first camera sends information to the second camera whether the target in the field of view is counterclockwise or clockwise relative to the second camera, so that the second camera can search according to the information of the counterclockwise or the clockwise.
The invention also provides a multi-view expanding device based on edge information mining, which is used for a video monitoring system to track a target, and is applied to a camera, and comprises the following components:
the first tracking module is used for finding a target to be tracked, tracking and shooting the target and sending a video stream subjected to tracking and shooting to a video stream receiver;
the map downloading module is used for downloading a map containing the position information of the cameras around the area where the map downloading module is located;
the switching module is used for determining the self orientation according to the electronic compass information when the target is about to be separated from the self visual field, and selecting the next camera for continuous tracking from the peripheral cameras in the visual field according to the self and the position information of the peripheral cameras in the visual field; sending the characteristic information of the target and the information of the video stream receiver to the next camera so that the next camera can feed back the source IP address and the port number of the video stream;
the notification module is used for sending the source IP address and the port number of the video stream sent by the next arbitrary camera to a video stream receiver and notifying the video stream receiver to prepare to receive the video stream sent by the next arbitrary camera; and informing the next camera to send the video stream, and stopping sending the video stream to the video stream receiver.
Optionally, the switching module selects a next camera to continue tracking from the peripheral cameras within the field of view according to the switching module itself and the position information of the peripheral cameras within the field of view, and executes the following operations:
calculating an included angle between a connecting line from a peripheral camera to the camera in the self-vision range and the orientation of the camera, and selecting the camera with the minimum included angle as the next camera;
further, the video monitoring system further includes a central management server, and the switching module is further configured to:
and sending the switching information to a central management server, wherein the central management server records the switching information as a log, and the switching information comprises the information of the next camera and the switching time, so that the central management server informs the next camera to stop sending the video stream when receiving a termination request of a video stream receiver.
Further, the switching module is further configured to:
and sending the information of whether the target in the visual field is in the counterclockwise direction or the clockwise direction relative to the next camera, so that the second camera can search according to the information of the counterclockwise direction or the clockwise direction.
According to the multi-view-field expanding method and device based on edge information mining, moving targets such as vehicles are automatically tracked through the cameras, other cameras in the view field are automatically found, the next camera is selected through the sensor of the camera, the camera is informed to take over tracking of the moving target, direct handover work among the cameras is achieved, intervention of a central management server is not needed, instantaneity is guaranteed, and pressure of the central management server is reduced.
Drawings
FIG. 1 is a flow chart of a multi-view expansion method based on edge information mining according to the present invention;
fig. 2 is a schematic diagram of the second camera selected according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The multi-view expansion method and device based on edge information mining are explained by tracking suspicious vehicles by using a camera, namely the tracked target is the suspicious vehicle, and certainly, the method and device can also be applied to tracking other vehicles, people, other moving objects and the like. The general idea of the application is that the camera finds out suspicious vehicles through target identification, such as license plate identification; adjusting the angle of a camera through target detection, and tracking the target; when the target is going to be far away, the camera A finds other cameras B with proper directions in the visual field of the camera A, determines the proper cameras B in the visual field according to the pre-downloaded map containing the position information of each camera and the sensors such as a GPS (global positioning system), an electronic compass and the like carried by the camera A, and obtains the ID and the IP address of the cameras B; the camera A informs the camera B to request the camera B to send a video stream to a current jukebox, and sends characteristic information such as license plate numbers of suspected vehicles to the camera B; at this time, the picture of the jukebox is automatically switched to the picture of the camera B, and the camera B continues to track the suspected vehicle.
In one embodiment, as shown in fig. 1, there is provided a multi-view expanding method based on edge information mining, including:
the method comprises the steps that a first camera finds a target to be tracked, tracks and shoots the target, and sends a video stream which is tracked and shot to a video stream receiver;
the first camera downloads a map containing the position information of peripheral cameras in the area where the first camera is located;
when the target is about to leave the own visual field, the first camera determines the own direction according to the electronic compass information, and selects a second camera for continuous tracking from the peripheral cameras in the visual field according to the position information of the first camera and the peripheral cameras in the visual field;
the first camera sends the characteristic information of the target and the information of the video stream receiver to the second camera, and the second camera feeds back the source IP address and the port number of the video stream to the first camera;
the first camera sends the source IP address and the port number of the video stream sent by the second camera to a video stream receiver, and informs the video stream receiver of preparing to receive the video stream sent by the second camera;
the first camera informs the second camera to send the video stream while stopping sending the video stream to the video stream receiver itself.
In the present embodiment, the camera a in fig. 2 is taken as an example of the first camera, and the camera a finds a target, which is taken as an example of the vehicle in fig. 2. The camera A finds a suspected vehicle through license plate detection and identification, takes the suspected vehicle as a tracking target, and tracks the target by adjusting the angle of the camera A. When the camera tracks the target, the direction of the camera always faces the tracked target, and how the camera adjusts the angle of the camera to track the target belongs to a mature technology and is not described herein again.
The camera A downloads the map containing the position information of the peripheral cameras in the area where the camera A is located, all the maps do not need to be downloaded, only a circle of partial map containing the position information of the cameras around the camera A is needed, and the position information of the peripheral cameras can be obtained through the map. For example, the cameras around the camera a include the camera B, the camera C, the camera D, and the like, and the map is downloaded, or the position information of the camera B, the camera C, and the camera D is obtained. Since the electronic map is updated frequently, the present embodiment preferably downloads the map containing the position information of the peripheral cameras in the area where the electronic map is located periodically, so as to keep acquiring the latest position information of the peripheral cameras.
It is easy to understand that the camera is provided with a GPS module, or the camera marks its position information in a map when installed, so that the position information of the camera can be obtained. In a video surveillance system, the camera and its location information are typically marked on an electronic map.
When the camera a is in continuous tracking and the target is about to leave the own view, the switching operation is performed. The camera A determines the geographic position according to the GPS sensor of the camera A, and the orientation of the current camera of the camera A can be determined according to the electronic compass of the camera A. As shown in fig. 2, the camera a always tracks the suspected vehicle, and the specific direction of the orientation of the camera a can be determined from the electronic compass information of the camera a, as shown by the solid line connection between the camera a and the vehicle in fig. 2.
Since the camera a already knows the position information of the surrounding cameras, the angle between the connecting line from the surrounding cameras to the camera a (shown by the dotted line in fig. 2) and the orientation of the camera a can be calculated, for example, the angle between the camera B and the camera a is θ 1, the angle between the camera C and the camera a is θ 2, and the angle between the camera D and the camera a is θ 3. Therefore, the camera with the minimum included angle can be selected as the camera to be tracked next, namely the second camera according to the size of the included angle. In fig. 2, it is apparent that the angle subtended by camera B is the smallest, thus selecting camera B as the second camera. As can be seen from fig. 2, the vehicle is heading towards the camera B, and the tracking of the vehicle is easier to achieve by using the camera B for monitoring.
In the related art, monitoring is usually performed by switching the next camera through a central management server, for example, the central management server generates a distribution map on which the position of each camera is present based on pre-stored position information of each camera, and the central management server searches for another camera in the predicted movement direction of the target with the position of the current camera on the map as a starting point. Other cameras closest to the current camera may be found in the predicted direction of motion as subsequent tracking cameras. In the application, for the selection of the second camera, the camera closest to the first camera may also be selected as the second camera, which is not described herein again. However, from the convenience of calculation and the convenience of accurately tracking the target, the second camera is selected by adopting the included angle, the calculated amount is small, and the selected second camera can more easily track the target.
In addition, according to the technical scheme, the cameras are directly connected without intervention of a central management server, real-time performance is guaranteed, and pressure of the central management server is reduced.
The camera A obtains information such as the ID and the IP address of the camera B from the map, and the camera A informs the camera B of sending the video stream to the client and informs the client of continuing to track the target. Specifically, after the camera a obtains the relevant information of the camera B, the camera B is informed of the feature information (such as the license plate number) of the target, the GPS position information of the camera a itself, and the information of whether the target in the field of view of the camera a is counterclockwise or clockwise relative to the camera B; simultaneously, the IP address and the port number of the client side for receiving the video stream are told to the camera B; the camera B can roughly determine the direction which the camera B needs to adjust by calculating the connection position between the camera B and the camera A and the deviation information of a target relative to the connection, and informs the camera A of the source IP address and the port number of the video stream sent by the camera B, and the camera A sends the information to a video stream receiver to inform the video stream receiver of preparing to receive a new video stream; camera a informs camera B to send the video stream while stopping itself from sending the video stream to the video stream receiver.
In an embodiment of the present application, the video monitoring system further includes a central management server, where the first camera notifies the second camera to send the video stream, and after itself stops sending the video stream to the video stream receiver, the video monitoring system further includes:
the first camera sends the switching information to the central management server, and the central management server records the switching information as a log, wherein the switching information comprises the information of the second camera and the switching time, so that the central management server informs the second camera to stop sending the video stream when receiving the termination request of the video stream receiver.
The camera A informs the camera B to send the video stream, and simultaneously stops sending the video stream, and sends the switching information (including the ID information, the IP address and the handover information of the camera B) to a central management server, wherein the handover information can comprise the handover time and the like, and the central management server records the switching information as a log, so that subsequent query and maintenance are facilitated; the video camera B sends the video stream to the video stream receiver, and the picture of the video stream receiver is automatically switched to the picture of the video camera B.
In an embodiment of the present application, the first camera sends feature information of the target and information of a video stream receiver to the second camera, and further includes:
the first camera sends information of whether the target in the visual field is in a counterclockwise or clockwise mode relative to the second camera, and the second camera can search conveniently according to the information of the counterclockwise or clockwise mode.
As shown in fig. 2, in the field of view of the camera a, since the position of the camera B and the angle between the camera a and the direction of the camera B are known, it is easy to determine whether the target is in the counterclockwise direction or the clockwise direction with respect to the second camera, the camera a sends the information to the camera B, and the camera B can adjust the direction of the camera B to point to the opposite direction of the camera a, and quickly search according to the counterclockwise direction or the clockwise direction, so that the camera B can quickly lock the target for tracking.
The camera B continues to track the moving object according to the characteristic information of the object, such as the license plate, which is told by the camera A. When the target is about to leave the own visual field, the strategy the same as that of the camera A is adopted, and the relay is given to the next camera.
If the video stream receiver wants to stop receiving the video stream, the request information is told to the central server, and the central server informs the latest video camera to stop sending the video stream.
According to the technical scheme, the cameras are directly connected without intervention of the central management server, real-time performance is guaranteed, and pressure of the central management server is reduced. The automatic switching of target tracking guarantees the continuity of tracking service without manual intervention. The camera automatically finds the appropriate next camera in the field of view and based on map information tracked by itself and the next camera information based on sensor lock. The first camera automatically informs the second camera to take over tracking the target, and switches the video stream to the second camera without intervention and coordination of a central management server. The camera only downloads part of map information, and does not need all map information, thereby reducing the memory pressure. The camera synchronizes the switching information to the central management server, so that the central management server can manage and maintain in time.
In one embodiment, the present application further provides an edge information mining-based multi-view expanding device for tracking a target, where the edge information mining-based multi-view expanding device is applied to a camera, and includes:
the first tracking module is used for finding a target to be tracked, tracking and shooting the target and sending a video stream subjected to tracking and shooting to a video stream receiver;
the map downloading module is used for downloading a map containing the position information of the cameras around the area where the map downloading module is located;
the switching module is used for determining the self orientation according to the electronic compass information when the target is about to be separated from the self visual field, and selecting the next camera for continuous tracking from the peripheral cameras in the visual field according to the self and the position information of the peripheral cameras in the visual field; sending the characteristic information of the target and the information of the video stream receiver to the next camera so that the next camera can feed back the source IP address and the port number of the video stream;
the notification module is used for sending the source IP address and the port number of the video stream sent by the next arbitrary camera to a video stream receiver and notifying the video stream receiver to prepare to receive the video stream sent by the next arbitrary camera; and informing the next camera to send the video stream, and stopping sending the video stream to the video stream receiver.
For specific definition of the multi-view expanding device based on edge information mining, reference may be made to the above definition of the multi-view expanding method based on edge information mining, and details are not repeated here. The modules in the multi-view expanding device based on edge information mining can be fully or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, the switching module selects the next camera to continue tracking from the peripheral cameras in the field of view according to the position information of the switching module and the peripheral cameras in the field of view, and performs the following operations:
calculating an included angle between a connecting line from a peripheral camera to the camera in the self-vision range and the orientation of the camera, and selecting the camera with the minimum included angle as the next camera;
in one embodiment, the switching module is further configured to:
and sending the switching information to a central management server, wherein the central management server records the switching information as a log, and the switching information comprises the information of the next camera and the switching time, so that the central management server informs the next camera to stop sending the video stream when receiving a termination request of a video stream receiver.
In one embodiment, the switching module is further configured to:
and sending the information of whether the target in the visual field is in the anticlockwise direction or the clockwise direction relative to the next camera.
The next image capturing in the present apparatus, i.e. the second camera in the foregoing method, is not described herein again.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. A multi-view expanding method based on edge information mining is used for a video monitoring system to track a target, and is characterized in that the multi-view expanding method based on the edge information mining comprises the following steps:
the method comprises the steps that a first camera finds a target to be tracked, tracks and shoots the target, and sends a video stream which is tracked and shot to a video stream receiver;
the first camera downloads a map containing the position information of peripheral cameras in the area where the first camera is located;
when the target is about to leave the own visual field, the first camera determines the own direction according to the electronic compass information, and selects a second camera for continuous tracking from the peripheral cameras in the visual field according to the position information of the first camera and the peripheral cameras in the visual field;
the first camera sends the characteristic information of the target and the information of the video stream receiver to the second camera, and the second camera feeds back the source IP address and the port number of the video stream to the first camera;
the first camera sends the source IP address and the port number of the video stream sent by the second camera to a video stream receiver, and informs the video stream receiver of preparing to receive the video stream sent by the second camera;
the first camera informs the second camera to send the video stream while stopping sending the video stream to the video stream receiver itself.
2. The method for expanding a multi-view based on edge information mining according to claim 1, wherein the selecting a second camera to continue tracking from the peripheral cameras within the field of view based on the position information of the second camera and the peripheral cameras within the field of view comprises:
and calculating an included angle between a connecting line from the peripheral camera to the first camera in the self-vision range and the orientation of the first camera, and selecting the camera with the minimum included angle as a second camera.
3. The edge information mining-based multi-view extension method according to claim 1, wherein the video surveillance system further comprises a central management server, and after the first camera notifies the second camera to transmit the video stream and stops itself from transmitting the video stream to the video stream receiver, the method further comprises:
the first camera sends the switching information to the central management server, and the central management server records the switching information as a log, wherein the switching information comprises the information of the second camera and the switching time, so that the central management server informs the second camera to stop sending the video stream when receiving the termination request of the video stream receiver.
4. The edge information mining-based multi-view extension method according to claim 1, wherein the first camera transmits feature information of an object, information of a video stream receiver to the second camera, further comprising:
the first camera sends information to the second camera whether the target in the field of view is counterclockwise or clockwise relative to the second camera, so that the second camera can search according to the information of the counterclockwise or the clockwise.
5. An edge information mining-based multi-view expanding device for a video monitoring system to track a target, wherein the edge information mining-based multi-view expanding device is applied to a camera, and comprises:
the first tracking module is used for finding a target to be tracked, tracking and shooting the target and sending a video stream subjected to tracking and shooting to a video stream receiver;
the map downloading module is used for downloading a map containing the position information of the cameras around the area where the map downloading module is located;
the switching module is used for determining the self orientation according to the electronic compass information when the target is about to be separated from the self visual field, and selecting the next camera for continuous tracking from the peripheral cameras in the visual field according to the self and the position information of the peripheral cameras in the visual field; sending the characteristic information of the target and the information of the video stream receiver to the next camera so that the next camera can feed back the source IP address and the port number of the video stream;
the notification module is used for sending the source IP address and the port number of the video stream sent by the next arbitrary camera to a video stream receiver and notifying the video stream receiver to prepare to receive the video stream sent by the next arbitrary camera; and informing the next camera to send the video stream, and stopping sending the video stream to the video stream receiver.
6. The apparatus of claim 5, wherein the switching module selects the next camera for continuous tracking from the peripheral cameras within the field of view according to the position information of the switching module and the peripheral cameras within the field of view, and performs the following operations:
and calculating an included angle between a connecting line from the peripheral camera to the camera in the self-vision range and the orientation of the camera, and selecting the camera with the minimum included angle as the next camera.
7. The edge information mining-based multi-view extension apparatus of claim 5, wherein the video surveillance system further comprises a central management server, and the switching module is further configured to:
and sending the switching information to a central management server, wherein the central management server records the switching information as a log, and the switching information comprises the information of the next camera and the switching time, so that the central management server informs the next camera to stop sending the video stream when receiving a termination request of a video stream receiver.
8. The edge information mining-based multi-view extension device of claim 5, wherein the switching module is further configured to:
and sending the information of whether the target in the visual field is in the counterclockwise direction or the clockwise direction relative to the next camera, so that the second camera can search according to the information of the counterclockwise direction or the clockwise direction.
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Denomination of invention: A multi view extension method and device based on edge information mining Effective date of registration: 20210622 Granted publication date: 20201106 Pledgee: Hangzhou branch of Zhejiang Tailong Commercial Bank Co.,Ltd. Pledgor: ZHEJIANG XINWANGZHEN TECHNOLOGY Co.,Ltd. Registration number: Y2021330000619 |