CN116582653B - Intelligent video monitoring method and system based on multi-camera data fusion - Google Patents
Intelligent video monitoring method and system based on multi-camera data fusion Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 55
- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000004927 fusion Effects 0.000 title claims abstract description 18
- 238000000605 extraction Methods 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 5
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
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Abstract
The application provides an intelligent video monitoring method and system based on multi-camera data fusion, comprising the following steps: acquiring target area information; determining position information of a plurality of cameras in a target area based on the target area information; extracting shooting areas of all cameras; establishing a virtual map based on the position information of the camera, and fusing a shooting area with the virtual map; and establishing video windows in the shooting areas of the cameras, and playing video monitoring information of the corresponding cameras. The application establishes the virtual map based on the position information of the cameras, merges the shooting areas with the virtual map, establishes the video window in the shooting areas of the cameras, and is used for playing the video monitoring information of the corresponding cameras, thereby being convenient for users to intuitively know the monitoring areas and the monitoring contents of the videos.
Description
Technical Field
The application relates to an intelligent video monitoring method and system, in particular to an intelligent video monitoring method and system based on multi-camera data fusion.
Background
With the promotion of camera technology, the camera is gradually popularized, and the use of the camera for monitoring becomes one of important means for people to maintain own safety and rights and interests. However, in areas such as a large store, there are a plurality of cameras, and the distribution areas are different, and the shooting areas are different, so that a user cannot combine with the actual area when monitoring the information of the plurality of cameras, and therefore the content of the cameras is not easy to know.
Disclosure of Invention
The application provides an intelligent video monitoring method and system based on multi-camera data fusion, which are used for facilitating understanding of camera shooting contents of a plurality of cameras.
The application provides an intelligent video monitoring method for multi-camera data fusion, which comprises the following steps:
s1, acquiring target area information and establishing origin coordinates of a target area；
Step S2, baseDetermining a plurality of cameras in the target area according to the target area informationCoordinates of->Wherein i is the camera serial number;
s3, extracting shooting areas of all cameras;
s4, calling the position information of the cameras and the shot background images, establishing a virtual map, and fusing the shot background images with the virtual map to construct a three-dimensional model map;
and S5, establishing a video window for the shooting area of each camera, and playing video monitoring information of the corresponding camera.
Further, the step S5 further includes:
step S51, at least one cameraAt least one object is selected from the video of (a)>；
Step S52, extracting the targetCamera based in the shooting area +.>Relative coordinates of (2)And fused in a virtual map, the target is determined based on a vector algorithm>Based on the origin coordinates of the region->Geodetic coordinates +.>The method comprises the following steps:
step S53, based on the targetGeodetic coordinates in a virtual map +.>The selected cameras are mobilized +.>For the object->Tracking shooting is carried out; comprising the following steps:
step S531, calling the cameraCoordinates of->According to the object->Geodetic coordinates in a virtual map +.>The camera head is calculated out>Focal coordinates +.>The method comprises the following steps:
step S532, according to the focal coordinatesThe camera is->Focusing and tracking shooting are carried out;
step S533, calling the cameraThe shot background image is used for filtering the background of the tracked shot image;
step S534, according to the user' S setting, the cameras are set upShooting the target->Displayed on a multi-window screen or displayed on a virtual map after stereoscopic modeling.
Still further, the method further comprises:
collecting image information of a target in a video;
extracting a characteristic value based on image information of the target;
and matching characteristic values of video monitoring information shot by a plurality of cameras in the target area, extracting one or more targets to be determined which accord with the characteristic values, and displaying the targets.
Still further, the method further comprises:
acquiring a target to be determined selected by a user;
and displaying video monitoring information of the target to be determined and corresponding camera position information.
Still further, the method further comprises:
responding to a user identification instruction, and converting an object to be determined corresponding to the instruction into a target;
extracting the relative position and the corresponding time of the target in each video monitoring information;
and fusing the relative position and the corresponding time with the virtual map to form a video information data set of the target.
Still further, the method further comprises:
and fusing all videos in the video information data set according to time to form a target video stream.
Further, if the time corresponding to each video in the video information dataset is discontinuous, setting time information between two videos with discontinuous time, and setting the time information as a missing time period;
extracting corresponding time and corresponding positions of the target at starting and stopping moments of the missing time period;
fusing the corresponding time and the corresponding position with the virtual map;
based on the virtual map, the moving track of the target in the missing period is presumed.
The application also discloses an intelligent video monitoring system based on multi-camera data fusion, which comprises:
the information acquisition module is used for acquiring target area information;
the information extraction module is used for determining the position information of the cameras in the target area based on the target area information; extracting shooting areas of all cameras;
the map module is used for establishing a virtual map based on the position information of the camera and fusing the shooting area with the virtual map; a video window is established in the shooting area of each camera and used for playing video monitoring information of the corresponding camera; comprising the following steps:
at least one cameraAt least one object is selected from the video of (a)>；
Extracting the targetIn shootingCamera based on in area->Relative coordinates of +.>And fused in a virtual map, the target is determined based on a vector algorithm>Based on the origin coordinates of the region->Geodetic coordinates of (2)The method comprises the following steps:
based on the targetGeodetic coordinates in a virtual map +.>The selected cameras are mobilized +.>For the object->Tracking shooting is carried out; comprising the following steps:
invoking the cameraCoordinates of->According to the object->Ground in virtual mapCoordinates->The camera head is calculated out>Focal coordinates +.>The method comprises the following steps:
according to the focal coordinatesThe camera is->Focusing and tracking shooting are carried out;
invoking the cameraThe shot background image is used for filtering the background of the tracked shot image;
according to the setting of the user, a plurality of cameras are arrangedShooting the target->Displayed on a multi-window screen or displayed on a virtual map after stereoscopic modeling.
Further, the system further comprises: a plurality of camera units.
Further, the system also comprises a database for storing video monitoring information.
Compared with the prior art, the method and the device have the advantages that the virtual map is built based on the position information of the cameras, the shooting areas are fused with the virtual map, and the video window is built in the shooting area of each camera and used for playing the video monitoring information of the corresponding camera, so that a user can intuitively know the monitoring area and the monitoring content of each video conveniently.
Drawings
FIG. 1 is a flow chart of an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution of the embodiments of the present application will be clearly and completely described below, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.
The embodiment of the application discloses an intelligent video monitoring method based on multi-camera data fusion, which is shown in fig. 1 and comprises the following steps:
acquiring target area information;
extracting target area information by acquiring a target area defined by a user on a geographic area, wherein the target area information specifically comprises the target area geographic information;
determining position information of a plurality of cameras in a target area based on the target area information;
extracting the position information of all cameras existing in the geographic information of the target area based on the geographic information of the target area;
extracting shooting areas of all cameras;
based on the position information of each camera, combining the orientation of the cameras to establish a shooting area of the cameras;
establishing a virtual map based on the position information of the camera, and fusing a shooting area with the virtual map;
the shooting area and the virtual map are fused to obtain a virtual map, and the map displays a specific shooting area at the camera, so that a user can conveniently know the shooting angle of the camera and the dead angle of the camera;
and establishing video windows in the shooting areas of the cameras, and playing video monitoring information of the corresponding cameras.
The video window is built in the shooting area of the virtual map, and video monitoring information is displayed, so that a user can conveniently know video monitoring content.
According to the embodiment of the application, the virtual map is built based on the position information of the cameras, the shooting areas are fused with the virtual map, and the video window is built in the shooting areas of the cameras and used for playing the video monitoring information of the corresponding cameras, so that a user can intuitively know the monitoring areas and the monitoring contents of the videos.
Optionally, the method further comprises:
selecting at least one target in the video of at least one camera;
extracting the relative position of a target in a video, and fusing the relative position in a virtual map;
and extracting video monitoring information of each camera shooting the target based on the relative position of the target in the virtual map, and displaying the video monitoring information.
Through the process, the embodiment of the application integrates the target tracking process, and can effectively track the position change of the target in each camera.
In particular, it further comprises:
collecting image information of a target in a video;
extracting a characteristic value based on image information of the target;
and matching characteristic values of video monitoring information shot by a plurality of cameras in the target area, extracting one or more targets to be determined which accord with the characteristic values, and displaying the targets.
Through the process, the embodiment of the application can perform feature recognition on the image information of the target, further collect the occurrence condition of the target in different videos based on similar features, and realize the target index function.
In particular, it further comprises:
acquiring a target to be determined selected by a user;
and displaying video monitoring information of the target to be determined and corresponding camera position information.
Through the process, the embodiment of the application displays the shot camera position information and video monitoring information corresponding to the target to be determined, and is convenient for staff to acquire corresponding contents.
In particular, it further comprises:
responding to a user identification instruction, and converting an object to be determined corresponding to the instruction into a target;
extracting the relative position and the corresponding time of the target in each video monitoring information;
and fusing the relative position and the corresponding time with the virtual map to form a video information data set of the target.
According to the embodiment of the application, the target to be determined is converted into the target, the acquisition of the target related video information is realized, the video information data set is established, and the extraction of the target related video information is realized.
In particular, it further comprises:
and fusing all videos in the video information data set according to time to form a target video stream.
Particularly, if the time corresponding to each video in the video information dataset is discontinuous, setting time information between two videos with discontinuous time, and setting the time information as a missing time period;
extracting corresponding time and corresponding positions of the target at starting and stopping moments of the missing time period;
fusing the corresponding time and the corresponding position with the virtual map;
based on the virtual map, the moving track of the target in the missing period is presumed.
Based on the above process, the embodiment of the application can reasonably infer the movement of the target outside the shooting area, so that the method is used for the user to select and track the position of the target conveniently.
On the other hand, the embodiment of the application also discloses an intelligent video monitoring system based on multi-camera data fusion, which comprises the following components:
the information acquisition module is used for acquiring target area information;
the information extraction module is used for determining the position information of the cameras in the target area based on the target area information; extracting shooting areas of all cameras;
the map module is used for establishing a virtual map based on the position information of the camera and fusing the shooting area with the virtual map; a video window is established in the shooting area of each camera and used for playing video monitoring information of the corresponding camera; comprising the following steps:
at least one cameraAt least one object is selected from the video of (a)>；
Extracting the targetCamera based in the shooting area +.>Relative coordinates of +.>And fused in a virtual map, the target is determined based on a vector algorithm>Based on the origin coordinates of the region->Geodetic coordinates of (2)The method comprises the following steps:
based on the targetGeodetic coordinates in a virtual map +.>The selected cameras are mobilized +.>For the object->Tracking shooting is carried out; comprising the following steps:
invoking the cameraCoordinates of->According to the object->Geodetic coordinates in a virtual map +.>The camera head is calculated out>Focal coordinates +.>The method comprises the following steps:
according to the focal coordinatesThe camera is->Focusing and tracking shooting are carried out;
invoking the cameraThe shot background image is used for filtering the background of the tracked shot image;
according to the setting of the user, a plurality of cameras are arrangedShooting the target->Displayed on a multi-window screen or displayed on a virtual map after stereoscopic modeling.
The information acquisition module is arranged on the computer equipment.
Optionally, the system further comprises: a plurality of camera units.
The camera unit is in communication connection with the information acquisition module.
Optionally, the system further comprises a database for storing video monitoring information.
The information extraction module, the map module and the database are arranged on the server, and the computer equipment is connected with the server by adopting wireless or wired communication.
The computer device of the embodiment of the application comprises: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, the processor implementing the steps of any of the method embodiments described above when the computer program is executed.
The computer device can be a smart phone, a tablet computer, a desktop computer, a cloud server and other computing devices. The computer device may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the foregoing is merely an example of a computer device and is not intended to be limiting, and that more or fewer components than shown may be included, or certain components may be combined, or different components may be included, for example, input-output devices, network access devices, etc.
The processor may be a central processing unit (Central Processing Unit, CPU), it may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may in some embodiments be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. The memory may in other embodiments also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the computer device. Further, the memory may also include both internal storage units and external storage devices of the computer device. The memory is used to store an operating system, application programs, boot loader (BootLoader), data, and other programs, etc., such as program code for the computer program, etc. The memory may also be used to temporarily store data that has been output or is to be output.
In addition, the embodiment of the present application further provides a computer readable storage medium, where a computer program is stored, where the computer program is executed by a processor to implement the steps in any of the above-mentioned method embodiments.
Embodiments of the present application provide a computer program product which, when run on a computer device, causes the computer device to perform the steps of the method embodiments described above.
In several embodiments provided by the present application, it will be understood that each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The intelligent video monitoring method and the system for multi-camera data fusion provided by the application are described in detail. The principles and embodiments of the present application have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present application and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the application can be made without departing from the principles of the application and these modifications and adaptations are intended to be within the scope of the application as defined in the following claims.
Finally, it should be noted that the above-mentioned embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the above-mentioned embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the specific embodiments of the present application after reading the present specification, and these modifications and variations do not depart from the scope of the application as claimed in the pending claims.
Claims (7)
1. An intelligent video monitoring method based on multi-camera data fusion is characterized by comprising the following steps:
s1, acquiring target area information and establishing origin coordinates of a target area；
Step S2, determining a plurality of cameras in the target area based on the target area informationCoordinates of->Wherein i is the camera serial number;
s3, extracting shooting areas of all cameras;
s4, calling the position information of the cameras and the shot background images, establishing a virtual map, and fusing the shot background images with the virtual map to construct a three-dimensional model map;
step S5, establishing video windows for shooting areas of the cameras, wherein the video windows are used for playing video monitoring information of the corresponding cameras; comprising the following steps:
step S51, at least one cameraAt least one object is selected from the video of (a)>；
Step S52, extracting the targetCamera based in the shooting area +.>Relative coordinates of +.>And fused in a virtual map, the target is determined based on a vector algorithm>Based on the origin coordinates of the region->Geodetic coordinates +.>The method comprises the following steps:
step S53, based on the targetGeodetic coordinates in a virtual map +.>The selected cameras are mobilized +.>For the object->Tracking shooting is carried out; comprising the following steps:
step S531, calling the cameraCoordinates of->According to the object->Geodetic coordinates in a virtual map +.>The camera head is calculated out>Focal coordinates +.>The method comprises the following steps:
step S532, according to the focal coordinatesThe camera is->Focusing and tracking shooting are carried out;
step S533, calling the cameraThe shot background image is used for filtering the background of the tracked shot image;
step S534, according to the user' S setting, the cameras are set upShooting the target->Display on the multi-window screen or display on the virtual map after three-dimensional modeling;
extracting the relative position and the corresponding time of the target in each video monitoring information; fusing the target and the virtual map based on the relative position and the corresponding time to form a video information data set of the target; fusing all videos in the video information data set according to the time corresponding to each video to form a video stream of a target; if the time corresponding to each video in the video information dataset is discontinuous, setting time information between two videos with discontinuous time, and setting the time information as a missing time period;
extracting the relative positions and the corresponding times of the target at the starting and stopping moments of the missing time period;
fusing the target and the virtual map based on the relative position and the corresponding time;
based on the virtual map, the moving track of the target in the missing period is presumed.
2. The intelligent video monitoring method based on multi-camera data fusion according to claim 1, further comprising:
collecting image information of a target in a video;
extracting a characteristic value based on image information of the target;
and matching characteristic values of video monitoring information shot by a plurality of cameras in the target area, extracting one or more targets to be determined which accord with the characteristic values, and displaying the targets.
3. The intelligent video monitoring method based on multi-camera data fusion according to claim 2, further comprising:
acquiring a target to be determined selected by a user;
and displaying video monitoring information of the target to be determined and corresponding camera position information.
4. The intelligent video monitoring method based on multi-camera data fusion according to claim 3, further comprising: and responding to the identification instruction of the user, and converting the target to be determined corresponding to the instruction into a target.
5. An intelligent video monitoring system based on multi-camera data fusion, for implementing the intelligent video monitoring method based on multi-camera data fusion as set forth in any one of claims 1 to 4, comprising: the information acquisition module is used for acquiring target area information;
the information extraction module is used for determining the position information of the cameras in the target area based on the target area information; extracting shooting areas of all cameras;
the map module is used for establishing a virtual map based on the position information of the camera and fusing the shooting area with the virtual map; a video window is established in the shooting area of each camera and used for playing video monitoring information of the corresponding camera; comprising the following steps:
at least one cameraAt least one object is selected from the video of (a)>；
Extracting the targetCamera based in the shooting area +.>Relative coordinates of +.>And fused in a virtual map, the target is determined based on a vector algorithm>Based on the origin coordinates of the region->Geodetic coordinates of (2)The method comprises the following steps:
based on the targetGeodetic coordinates in a virtual map +.>Mobilize selected ones of the camerasFor the object->Tracking shooting is carried out; comprising the following steps:
invoking the cameraCoordinates of->According to the object->Geodetic coordinates in virtual mapThe camera head is calculated out>Focal coordinates +.>The method comprises the following steps:
according to the focal coordinatesThe camera is->Focusing and tracking shooting are carried out;
invoking the cameraThe shot background image is used for filtering the background of the tracked shot image;
according to the setting of the user, a plurality of cameras are arrangedShooting the target->Display on the multi-window screen or display on the virtual map after three-dimensional modeling;
extracting the relative position and the corresponding time of the target in each video monitoring information; fusing the target and the virtual map based on the relative position and the corresponding time to form a video information data set of the target; fusing all videos in the video information data set according to the time corresponding to each video to form a video stream of a target; if the time corresponding to each video in the video information dataset is discontinuous, setting time information between two videos with discontinuous time, and setting the time information as a missing time period;
extracting the relative positions and the corresponding times of the target at the starting and stopping moments of the missing time period;
fusing the target and the virtual map based on the relative position and the corresponding time;
based on the virtual map, the moving track of the target in the missing period is presumed.
6. The intelligent video monitoring system based on multi-camera data fusion of claim 5, further comprising: a plurality of camera units.
7. The intelligent video monitoring system based on multi-camera data fusion of claim 6, further comprising a database for storing video monitoring information.
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