CN110191322B - Video monitoring method for sharing early warning - Google Patents
Video monitoring method for sharing early warning Download PDFInfo
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- CN110191322B CN110191322B CN201910488429.2A CN201910488429A CN110191322B CN 110191322 B CN110191322 B CN 110191322B CN 201910488429 A CN201910488429 A CN 201910488429A CN 110191322 B CN110191322 B CN 110191322B
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Abstract
The invention discloses a video monitoring method for sharing early warning, which comprises the following steps of A, establishing video sharing, A1, establishing a database aiming at video data types; step A2, setting a digital conversion mode based on the database; step B, establishing an early warning mechanism, step B1, and establishing a data analysis model for video structuring; step B2, dividing the region based on the analysis model to obtain a plurality of sub-regions, and rounding the sub-regions into countable unit points; step B3, establishing a dynamic capture algorithm based on the sub-regions; step B4, setting thresholds for the motion capture algorithm to trigger under different conditions, each threshold being critical to react to generate an alarm. The invention realizes the sharing access of different data formats, improves the practicability, simultaneously carries out intelligent monitoring on various environments, greatly improves the processing capacity of video monitoring and saves the labor cost.
Description
Technical Field
The invention relates to the field of video monitoring, in particular to a video monitoring method for sharing early warning.
Background
At present, the operation and maintenance work of a video monitoring system mainly depends on manual detection and processing, the monitoring difficulty is high, fault processing is not timely, and the operation and maintenance workload is huge, so that the operation and maintenance cost is continuously increased, the use effect of the video monitoring system is greatly reduced, and the effective development of the field monitoring work is seriously influenced. Therefore, the informatization level of the operation and maintenance work of the video monitoring system is improved, and the construction of the informatization video monitoring operation and maintenance management system becomes the development trend of the video monitoring industry. Generally, a monitoring operation and maintenance system generally patrols huge and rapidly-growing video monitoring equipment through limited manpower, and has no practical significance, so that the video monitoring equipment has the following problems in the aspect of operation and maintenance support service: the fault removal delay is serious, and the event cannot be responded in time; the equipment mode is various in standard, and the maintenance mode is low in efficiency; the existing maintenance technology is backward, and the information of engineering personnel is not smooth.
As shown in fig. 1, in the prior art, a Video monitoring system is generally configured to connect a camera to an NVR (Network Video Recorder), register the NVR to a streaming server, and then view a Video through a monitoring terminal provided by a manufacturer of the streaming server. But because the streaming media server can not convert different video data formats, the application of the data must be in a uniform standard format, the docked device is also fixed, and the device adaptation range is narrow; meanwhile, the system function is realized by a single real-time video, workers need to monitor the monitoring equipment all the time, the labor intensity of the workers is high, fatigue is easily caused, and further supervision negligence is caused, so that the system cannot monitor timely when accidents such as fire accident, electric leakage and the like, personnel disharmony and fighting, illegal personnel intrusion, personnel sickness and the like happen, and the inestimable result is caused.
In summary, there is a need in the art for a video monitoring method and system that solves the above problems.
Disclosure of Invention
The invention aims to provide a video monitoring method and a video monitoring system for shared early warning, which realize shared access of different data formats, improve the practicability, simultaneously carry out intelligent monitoring on various environments, greatly improve the processing capacity of video monitoring and save the labor cost.
The technical scheme adopted by the invention for solving the technical problems is as follows: a video monitoring method for sharing early warning comprises the following steps:
step A, establishing video sharing,
step A1, establishing a database aiming at the video data type;
step A2, setting a digital conversion mode based on the database;
step B, establishing an early warning mechanism,
step B1, establishing a data analysis model for video structuring;
step B2, dividing the region based on the analysis model to obtain a plurality of sub-regions, and rounding the sub-regions into countable unit points;
step B3, establishing a dynamic capture algorithm based on the sub-regions;
step B4, setting thresholds for the motion capture algorithm to trigger under different conditions, each threshold being critical to react to generate an alarm.
Preferably, the digital conversion in step a2 includes consistent conversion of different video data into SDI signals.
Preferably, the data analysis model in step B1 is a dynamic processing module, which includes building a space axis and a time axis, wherein the space axis is three-dimensional and includes an X axis, a Y axis and a Z axis, and the time axis is in units of frames.
Preferably, the sub-region in step B2 includes data blocks, and the data blocks on the unit point are arranged into a three-dimensional array of pixel points.
Preferably, the dynamic capture algorithm in step B3 includes a dynamic base value judgment formula:
i,j∈[0,∞)；
i≤j；
S＝△N-△M；
wherein, i is the initial value of time, j is the dynamic capture time value, i value and j value are mutually circulated and substituted, X, Y and Z are respectively the corresponding domain points on the X axis, Y axis and Z axis, Xi、yi、ziRespectively corresponding pixel points of the time initial value i on an X axis, a Y axis and a Z axis, Xj、yj、zjPixel points corresponding to the dynamic capture time value j on the X-axis, the Y-axis and the Z-axis respectively, Δ M is the motion displacement amount of i time, Δ N is the motion displacement amount of j time, X△m△nRepresents the amount of movement displacement from i time to j time, y, of the X-domain point on the X-axis△m△nRepresents the amount of movement displacement from i time to j time at the Y-domain point on the Y-axis, z△m△nThe method is characterized in that the method represents the action displacement amount of a Z-domain point on a Z axis from i time to j time, T is the displacement speed in the time period from i to j, S is the dynamic displacement distance, and C is the dynamic basic value.
Preferably, the different conditions in step B4 include the type of condition defined according to a specific event, and the threshold corresponding to each defined condition is different, and is used for comparing with the dynamic base value, and once the dynamic base value is greater than the threshold, an alarm is triggered.
The invention also provides a video monitoring system for sharing early warning, which comprises a supervision platform, a supplier video service and the site video equipment, wherein data interaction is carried out among the supervision platform, the supplier video service comprises an IPC (industrial personal computer), an NVR (network video recorder), a DVR (digital video recorder), a streaming media server, a video structured analysis server, a central management server and a storage management server, and the site video equipment comprises a camera.
Preferably, the method comprises the steps that the supplier video service collects field monitoring equipment information from the site video equipment, and the monitoring equipment information is submitted to a video monitoring data interface in the supervision platform through processing of the field monitoring equipment information.
Preferably, the monitoring platform sends a request to a video playing interface in the provider video service to acquire a video playing address, then the provider video service sends a target capture instruction to the site video equipment, and the site video equipment returns the captured site video stream to the video playing address through the provider video service to the monitoring platform.
The invention has the beneficial effects that: the universal use of different video data is realized through digital conversion, so that the selection of video equipment is wide, the unified use of fixed equipment is not limited, the convenience is high, and meanwhile, videos with different data types are shared in a monitoring platform, so that the practicability is enhanced; through the realization of the early warning mechanism, the monitoring work is intelligent, the work efficiency is improved, the labor cost is saved, and the safety of the supervision work is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described with reference to the accompanying drawings and embodiments, wherein the drawings in the following description are only part of the embodiments of the present invention, and for those skilled in the art, other drawings can be obtained without inventive efforts according to the accompanying drawings:
FIG. 1 is a schematic diagram of a prior art in the background of the invention;
FIG. 2 is a schematic block diagram of a video surveillance system sharing early warning according to the present invention;
fig. 3 is a schematic structural diagram of another module of a video monitoring system sharing early warning according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without inventive step, are within the scope of the present invention.
In embodiment 1, a video monitoring method for shared warning includes the following steps:
step A, establishing video sharing,
step A1, establishing a database aiming at the video data type;
step A2, setting a digital conversion mode based on the database;
step B, establishing an early warning mechanism,
step B1, establishing a data analysis model for video structuring;
step B2, dividing the region based on the analysis model to obtain a plurality of sub-regions, and rounding the sub-regions into countable unit points;
step B3, establishing a dynamic capture algorithm based on the sub-regions;
step B4, setting thresholds for the motion capture algorithm to trigger under different conditions, each threshold being critical to react to generate an alarm.
Further, the digital conversion in step a2 includes consistent conversion of different video data into SDI signals. In the process of exchanging video data, the method comprises the steps of decompressing the encoded video data into baseband signals, recoding the baseband signals according to the transmission condition, properly packaging the baseband signals, and carrying out transmission sharing among different video products in a streaming mode by using the same interface protocol. No matter what compression coding mode is adopted inside the video acquisition equipment, when the next receiving end transmits video data, the video data are decoded and sent to an SDI encoder through a built-in data decoding unit, the data exchange is based on the premise that interfaces with the same protocol are established among different equipment, such as SDI interfaces, corresponding coding and decoding service ends are set, and meanwhile, video and audio data are exchanged by taking a data stream which can be identified jointly as a medium. In addition, a distributed technology is adopted in the video data transmission between the database and each node, the storage calculation instruction can be distributed to each node, overload operation performed by a single processing node is avoided, and the data storage, calculation and retrieval speed is greatly improved.
Further, the data analysis model in step B1 is a dynamic processing module, which includes building a space axis and a time axis, where the space axis is three-dimensional and includes an X axis, a Y axis and a Z axis, and the time axis is in units of frames. Considering that the video data is composed of unstructured space and time data, a three-dimensional frame is set up, a time frame is used as a switching unit, a three-dimensional space relation corresponds to each frame, an analysis model frame is formed, and the time frame is used as a node of a dynamic change relation to form a dynamic space relation framework.
Further, the sub-region in step B2 includes data blocks, and the data blocks on the unit point are arranged into a three-dimensional array of pixel points. When video data is captured dynamically, static analysis of each frame of image is included, wherein the change condition of each frame of image pixel point is calculated.
Preferably, the dynamic capture algorithm in step B3 includes a dynamic base value judgment formula:
i,j∈[0,∞)；
i≤j；
S＝△N-△M；
wherein, i is the initial value of time, j is the dynamic capture time value, i value and j value are mutually circulated and substituted, X, Y and Z are respectively the corresponding domain points on the X axis, Y axis and Z axis, Xi、yi、ziRespectively corresponding pixel points of the time initial value i on an X axis, a Y axis and a Z axis, Xj、yj、zjPixel points corresponding to the dynamic capture time value j on the X-axis, the Y-axis and the Z-axis respectively, Δ M is the motion displacement amount of i time, Δ N is the motion displacement amount of j time, X△m△nRepresents the amount of movement displacement from i time to j time, y, of the X-domain point on the X-axis△m△nRepresents the amount of movement displacement from i time to j time at the Y-domain point on the Y-axis, z△m△nThe method is characterized in that the method represents the action displacement amount of a Z-domain point on a Z axis from i time to j time, T is the displacement speed in the time period from i to j, S is the dynamic displacement distance, and C is the dynamic basic value.
Further, the different conditions in step B4 include the type of condition defined according to a specific event, and the threshold corresponding to each defined condition is different, and is used for comparing with the dynamic base value, and once the dynamic base value is greater than the threshold, an alarm is triggered. Wherein the triggering conditions include: 1) abnormal clustering of the population: 2) abnormal retention of the population; 3) abnormal limb behaviors or contact of more than two persons; 4) more than two people hold the instrument to confront or fight; 5) special persons (strange figure, clothes convex, etc.) appear; 6) multiple people run simultaneously (in the same direction or in different directions); 7) entering an entrance prohibition area; 8) smoke diffusion, spark splash, over-illumination, water flow, etc., but the triggering conditions are not limited to the above types. Specifically, the trigger judgment includes capture judgment of pixel point color, aggregation range, size, distance, change speed, and the like. Each trigger condition corresponds to a predetermined threshold, the dynamic capture algorithm compares the calculated dynamic baseline for each time frame to a threshold alert, and if the threshold is exceeded, an alarm is generated in the monitoring platform and corresponds to the captured video.
The invention also provides a video monitoring system for sharing early warning, which comprises a supervision platform, a supplier video service and a site video device, wherein data interaction is carried out among the supervision platform, the supplier video service and the site video device, the supervision platform comprises a data acquisition module and a data processing module, the supplier video service comprises IPC, NVR, DVR, a streaming media server, a video structured analysis server, a central management server and a storage management server, and the site video device comprises a camera. The data acquisition module comprises a video monitoring data interface for receiving and sending data; the data processing module is used for monitoring data processing and comprises the access of an external operation end and the provision of an early warning mechanism; the IPC, the NVR and the DVR are used for accessing a streaming media server, then video information including items, channel numbers, addresses for acquiring video streams and the like is sent to a supervision platform according to a signature rule agreed by the supervision platform, when the supervision platform plays videos, the supervision platform requests the addresses for acquiring the video streams sent by a video provider before according to the signature rule agreed by the supervision platform to obtain real-time video stream playing addresses, and the video provider verifies the request to ensure data safety and then plays the videos; the video structural analysis server, the central management server and the storage management server are used for being matched with the early warning mechanism to realize and simultaneously realize data conversion and sharing.
Further, the method comprises the steps that the supplier video service collects field monitoring equipment information from the site video equipment, and the monitoring equipment information is submitted to a video monitoring data interface in the supervision platform through processing of the field monitoring equipment information.
Further, the monitoring platform sends a request to a video playing interface in the provider video service to acquire a video playing address, then the provider video service sends a target grabbing command to the site video equipment, and the site video equipment returns the grabbed site video stream to the video playing address through the provider video service to the monitoring platform.
Claims (3)
1. A video monitoring method for sharing early warning is characterized by comprising the following steps:
step A, establishing video sharing,
step A1, establishing a database aiming at the video data type;
step A2, setting a digital conversion mode based on the database, wherein the digital conversion mode comprises the step of converting different video data into SDI signals in a consistent manner;
step B, establishing an early warning mechanism,
step B1, establishing a data analysis model for video structuring, wherein the data analysis model is a dynamic processing module and comprises the establishment of a space axis and a time axis, the space axis is three-dimensional and comprises an X axis, a Y axis and a Z axis, and the time axis takes a frame as a unit;
step B2, dividing the region based on the analysis model to obtain a plurality of sub-regions, and rounding the sub-regions into countable unit points;
step B3, establishing a dynamic capture algorithm based on the sub-regions, wherein the dynamic capture algorithm comprises a dynamic base value judgment formula:
i,j∈[0,∞)；
i≤j；
S＝△N-△M；
wherein, i is the initial value of time, j is the dynamic capture time value, i value and j value are mutually circulated and substituted, X, Y and Z are respectively the corresponding domain points on the X axis, Y axis and Z axis, Xi、yi、ziRespectively corresponding pixel points of the time initial value i on an X axis, a Y axis and a Z axis, Xj、yj、zjPixel points corresponding to the dynamic capture time value j on the X-axis, the Y-axis and the Z-axis respectively, Δ M is the motion displacement amount of i time, Δ N is the motion displacement amount of j time, X△m△nRepresents the amount of movement displacement from i time to j time, y, of the X-domain point on the X-axis△m△nRepresents the amount of movement displacement from i time to j time at the Y-domain point on the Y-axis, z△m△nRepresenting the motion displacement amount from i time to j time of a Z-domain point on a Z axis, T is the displacement speed in the time period from i to j, and S is the dynamic displacement distanceC is a dynamic base value;
step B4, setting thresholds for the motion capture algorithm to trigger under different conditions, each threshold being critical to react to generate an alarm.
2. The video surveillance method of shared early warning of claim 1, characterized in that the sub-area in step B2 comprises data blocks, and the data blocks on the unit site are arranged into three-dimensional array of pixel points.
3. The video monitoring method of shared early warning as claimed in claim 1, wherein the different conditions in step B4 include the type of condition defined according to a specific event, and the threshold corresponding to each defined condition is different, and is used for comparing with the dynamic base value, and once the dynamic base value is greater than the threshold, an alarm is triggered.
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