CN107396089A - A kind of video monitoring system monitoring reliability method based on cloud side computation model - Google Patents
A kind of video monitoring system monitoring reliability method based on cloud side computation model Download PDFInfo
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- CN107396089A CN107396089A CN201710534479.0A CN201710534479A CN107396089A CN 107396089 A CN107396089 A CN 107396089A CN 201710534479 A CN201710534479 A CN 201710534479A CN 107396089 A CN107396089 A CN 107396089A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/48—Matching video sequences
-
- 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
-
- 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
Abstract
A kind of video monitoring system monitoring reliability method based on cloud side computation model, including default picture step, video acquisition step, background picture extraction step, background picture uploading step, picture contrast step, threshold comparison step.Video monitoring system monitoring reliability method provided by the invention based on cloud side computation model, can in real time, whether actively monitoring video monitoring system terminal break down or malfunction；After video monitoring system terminal breaks down or malfunctioned, can automatic identification and quick lock in failed terminals position, facilitate timely troubleshooting and maintenance, save substantial amounts of manpower and time cost.
Description
Technical field
The invention belongs to technical field of video monitoring, and in particular to a kind of video monitoring system based on cloud side computation model
Monitoring reliability method.
Background technology
In recent years, with the reduction of Video Monitoring Terminal equipment price, computer capacity strengthens and the raising of network bandwidth,
Video Supervision Technique has obtained preferable development.In important places such as airport, subway station, parking lots, video monitoring acts on
It is constantly prominent, especially in terms of public safety.Just because of above-mentioned reason, the fitting limit of Video Monitoring Terminal is continuous
Expand, monitoring density is also expanding.
However, Video Monitoring Terminal can usually break down, for example Video Monitoring Terminal equipment often occurs due to ring
What border and artificial origin occurred blocks class problem, flower screen class problem, artificially smears class, picture nigrescence class, splashette class problem, etc.
Deng.When a large amount of monitoring terminal equipments be present in especially same video monitoring system, need locking in a short time badly and break down
Monitoring device.Now, judging the method for the error message of Video Monitoring Terminal mainly makes evaluation and test people daily in monitoring system
In check the information of each Video Monitoring Terminal, passive finds out its video monitoring equipment terminal to break down.This detection
Method is, it is necessary to consume substantial amounts of manpower to search be the error of which Video Monitoring Terminal, it is impossible to which locking failure is set in the short time
It is standby, it is impossible to timely troubleshooting and maintenance, singly to look for faulty equipment and just waste substantial amounts of human resources and time cost, Er Qiewu
Method ensures the reliability of Video Monitoring Terminal data.
Therefore, field of video monitoring need badly it is a kind of can reduce the expense of manpower and time, and make video monitoring system number
According to the increased detection method of reliability, change passive monitoring misses into active detecting Video Monitoring Terminal caused by reducing human factor
The problems such as reporting, failing to report, operating personnel are liberated from heavy monitoring, troubleshooting work.
The content of the invention
In order to solve actively monitoring Video Monitoring Terminal failure and failed terminals can not to be found in the short time in the prior art
Technological deficiency, the present invention provides a kind of video monitoring system monitoring reliability method based on cloud side computation model.
The present invention is achieved by the following technical solutions：
A kind of video monitoring system monitoring reliability method based on cloud side computation model, comprises the following steps：
Default picture step：During the terminal fault-free normal use of video monitoring system, picture is obtained as pre- from terminal
If picture；Video acquisition step：According to default time interval, periodically collection obtains one section from the terminal of video monitoring system
Video；Background picture extraction step：The video of collection is handled, therefrom extracts corresponding background picture；
Background picture uploading step：The background picture of extraction is uploaded；
Picture contrasts step：The background picture of reception and default picture are subjected to similarity-rough set, obtain Similarity value；
Threshold comparison step：The Similarity value that picture contrast step is obtained is compared with default threshold value：If Similarity value
More than threshold value, then prompting obtains the terminal error of the video monitoring system of background picture.
Compared with prior art, the beneficial effects of the present invention are：
Video monitoring system monitoring reliability method provided by the invention based on cloud side computation model, can in real time, it is main
Whether dynamic monitoring video monitoring system terminal breaks down or malfunctions；After video monitoring system terminal breaks down or malfunctioned, energy
Enough automatic identifications and quick lock in failed terminals position, facilitate timely troubleshooting and maintenance, save substantial amounts of manpower and time cost.
Brief description of the drawings
Fig. 1 is the overall flow figure of the video monitoring system monitoring reliability method based on cloud side computation model.
Fig. 2 is the flow chart of default picture step.
Fig. 3 is background picture extraction step flow chart.
Fig. 4 is that picture contrasts flow chart of steps.
Fig. 5 is threshold comparison flow chart of steps.
Fig. 6 is the video monitoring system monitoring reliability device based on cloud side computation model.
Fig. 7 is the background picture in embodiment 2.
Fig. 8 is the default picture in embodiment 2.
Fig. 9 is user terminal display display figure in embodiment 2.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that embodiment described herein is only to explain the present invention,
It is not intended to limit the present invention.
Embodiment 1：
As shown in figure 1, the present embodiment provides a kind of video monitoring system monitoring reliability side based on cloud side computation model
Method, comprise the following steps：
Default picture step S1：During the terminal fault-free normal use of video monitoring system, picture conduct is obtained from terminal
Default picture；
Video acquisition step S2：According to default time interval, periodically gather and obtain from the terminal of video monitoring system
One section of video；
Background picture extraction step S3：The video of collection is handled, therefrom extracts corresponding background picture；
Background picture uploading step S4：By the background picture of extraction；
Picture contrast step S5：The background picture of reception and default picture are subjected to similarity-rough set, obtain Similarity value；
Threshold comparison step S6：The Similarity value that picture contrast step is obtained is compared with default threshold value：If similarity
Value is more than threshold value, then prompting obtains the terminal error of the video monitoring system of background picture.
As shown in Fig. 2 in the present embodiment, default picture step S1 specifically comprises the following steps：
Step S101：The IP address of the terminal of video monitoring system is uploaded；
Step S102：During the terminal fault-free normal use of video monitoring system, picture is obtained as default figure from terminal
Piece；Step S103：Default picture is uploaded and the IP address with obtaining the default picture is corresponding.
As shown in figure 3, in the present embodiment, video acquisition step S2 specifically comprises the following steps：
Step S201：The terminal device of video monitoring system, which is called, using VideoCapture classes and gathers one section of acquisition regards
Frequently, specifically, VideoCapture classes provide from camera or video file capture video C++ interfaces, effect be from
Video file captures video from camera and shown.In the present embodiment, its function is being regarded in being captured from camera
Frequency is simultaneously shown.
As shown in figure 4, in the present embodiment, background picture extraction step S3 specifically comprises the following steps：
Step S301：The image of each frame of the video is stored by Mat variable methods, specifically, Mat classes represent
The single channel or multichannel array of the dense numeric type of one n dimension.Mat classes can be used for storing real number or the vector sum of complex values
Matrix, gray scale or coloured image, voxel, vector field, point cloud, tensor, histogram.Mat classes are to be used to store in the present embodiment
Coloured image.
Step S302：The image of each frame of the video, tool are obtained by the read methods in VideoCapture classes
For body, VideoCapture::Read functions have just captured for reading video file or capture data from decoding and return
Frame, were it not for frame of video it is captured (camera do not connect or video file in there is no more frames) false will be returned.
It is used to read each frame of video in the present embodiment.
Step S303：Foreground mask is obtained by the apply functions in BackgroundSubtractorMOG2 classes, specifically
For, BackgroundSubtractorMOG2::Apply functions mainly calculate background mask, can be in the present embodiment
Background mask is obtained by background subtraction.
Step S304：Extracted by the getBackgroundImage functions in BackgroundSubtractorMOG2 classes
Background picture, specifically, BackgroundSubtractorMOG2::GetBackgroundImage functions term is calculating
Background picture, function in the present embodiment is acquisition background picture.
In the present embodiment, background picture uploading step S4 is specially：The back of the body that background picture extraction step is extracted
Scape picture uploads with obtaining the video monitoring system IP address of terminal of the background picture.Due to presetting picture step in the present embodiment
In default picture stage synchronized upload it is IP address of terminal in S1, therefore passes on background picture in step S4 on also corresponding
The IP address of background picture has been passed, to realize in picture contrast step S5, background picture and default figure are distinguished by IP address
Piece derives from same video monitoring system terminal.But when the method for the present invention is embodied, distinguish background picture and default picture
Method from same video monitoring system terminal is not limited to this, as long as can obtain same video monitoring system terminal
Background picture and default picture correspond, such as to every video monitoring system terminal number, figure is obtained from terminal
With the number-mark of the terminal picture after piece.
As shown in figure 5, in the present embodiment, picture contrast step S5 specifically includes following steps：
Step S501：Extract the IP address of the background picture received；
Step S502：Pass through extracted IP address, filter out with presetting picture described in the IP address identical of extraction；
Step S503：The background picture of reception and the default picture filtered out are contrasted, obtain Similarity value；
Wherein, as shown in fig. 6, step S503 is contrasted using hash algorithm to background picture and default picture, specific steps
It is as follows：
Step S503-1：Background picture and default picture are dimensioned to 8*8 pixels；
Step S503-2：Background picture and default picture are converted into gray level image；
Step S503-3：Calculate the average gray of background picture and the average gray of default picture；
Step S503-4：The average gray of the background picture gray value ratio with each pixel of background picture in order
Compared with：If the gray value of pixel is more than or equal to the average gray of background picture, 1 is designated as；If the gray value of pixel is less than background
The average gray of picture, is designated as 0；After 64 pixels for traveling through background picture, the cryptographic Hash of background picture is obtained；
Step S503-5：The average gray of default picture is according to step S503-4 order and each picture of default picture
The gray value of element compares：If the gray value of pixel is more than or equal to the average gray of default picture, 1 is designated as；If the ash of pixel
Angle value is less than the average gray of default picture, is designated as 0；After 64 pixels of the default picture of traversal, default picture is obtained
Cryptographic Hash；
Step S503-6：Compare the cryptographic Hash of background picture and the cryptographic Hash of default picture, obtain corresponding data bit value
The number of different data bit, i.e. Similarity value.
In the present embodiment, default threshold value is 10, but not limited to this, can be according under different occasions, video monitoring system
Environment residing for terminal is adjusted to predetermined threshold value, such as the arbitrary integer that can be adjusted between 5 or 6 to 30.
The present embodiment provide the video monitoring system monitoring reliability method based on cloud side computation model, can in real time,
Whether actively monitoring video monitoring system terminal breaks down or malfunctions；After video monitoring system terminal breaks down or malfunctioned,
Can automatic identification and quick lock in failed terminals position, facilitate timely troubleshooting and maintenance, save substantial amounts of manpower and time into
This.
Embodiment 2
As shown in fig. 6, the present embodiment provides a kind of video monitoring system monitoring reliability dress based on cloud side computation model
Put 1, including image store 11, video data processing element 12, background picture extraction unit 13, picture processing unit 14.
Wherein, video data processing element 12 is periodically gathered from the terminal of video monitoring system and obtained according to default time interval
One section of video, in the present embodiment, default time interval is 1 hour, but not limited to this, can be according to the field residing for terminal
Close, the different time interval of flow of the people different set such as 30 minutes or 2 hours etc.；Background picture extraction unit 13 can pass through
Read methods in VideoCapture classes obtain each frame for the video that video data processing element 12 obtains, and then pass through
Apply functions in BackgroundSubtractorMOG2 classes obtain foreground mask, finally in by such
GetBackgroundImage functions extract background image, and background picture is uploaded into image store 11, the present embodiment
In, for background picture as shown in fig. 7, default picture is shown in Fig. 8, default picture is stored in image store with background picture
11；Picture processing unit 14 is used to background picture and default picture carrying out similarity-rough set, obtains Similarity value.The present embodiment
Kind, the Similarity value of background picture and default picture is 30, and predetermined threshold value is that Similarity value is more than default threshold exemplified by 10
It is worth, monitoring device prompting obtains the terminal error of the video monitoring system of background picture, and the user terminal that monitoring device 1 connects shows
Display information is as shown in Figure 9 in display screen curtain.The scope of Similarity value and predetermined threshold value by way of example only, is not used to limit herein
Determine protection scope of the present invention, in actual applications, those skilled in the art can select what is be adapted to according to actual conditions
Similarity value and predetermined threshold value.
As it will be easily appreciated by one skilled in the art that the foregoing is merely illustrative of the preferred embodiments of the present invention, not to
The limitation present invention, all any modification, equivalent and improvement made within the spirit and principles of the invention etc., all should be included
Within protection scope of the present invention.
Claims (9)
- A kind of 1. video monitoring system monitoring reliability method based on cloud side computation model, it is characterised in that including following step Suddenly：Default picture step：During the terminal fault-free normal use of video monitoring system, picture is obtained as default figure from terminal Piece；Video acquisition step：According to default time interval, periodically one section of collection acquisition regards from the terminal of video monitoring system Frequently；Background picture extraction step：The video of collection is handled, therefrom extracts corresponding background picture；Background picture uploading step：The background picture of extraction is uploaded to a processing unit；Picture contrasts step：The background picture of reception and the default picture are subjected to similarity-rough set, obtain similarity Value；Threshold comparison step：The Similarity value that picture contrast step is obtained is compared with default threshold value：It is if described Similarity value is more than the threshold value, then prompting obtains the terminal error of the video monitoring system of the background picture.
- 2. a kind of video monitoring system monitoring reliability method based on cloud side computation model according to claim 1, its It is characterised by, the default picture step is specially：The IP address of the terminal of video monitoring system is uploaded；During the terminal fault-free normal use of video monitoring system, picture is obtained as default picture from terminal；The default picture is uploaded and the IP address with obtaining the default picture is corresponding.
- 3. a kind of video monitoring system monitoring reliability method based on cloud side computation model according to claim 2, its It is characterised by, the video acquisition step is specially：Call the terminal device of video monitoring system using VideoCapture classes and gather and obtain one section of video.
- 4. a kind of video monitoring system monitoring reliability method based on cloud side computation model according to claim 3, its It is characterised by, the background picture extraction step is specially：The image of each frame of the video is stored by Mat variable methods；The image of each frame of the video is obtained by the read methods in VideoCapture classes；Foreground mask is obtained by the apply functions in BackgroundSubtractorMOG2 classes；Background picture is extracted by the getBackgroundImage functions in BackgroundSubtractorMOG2 classes.
- 5. a kind of video monitoring system monitoring reliability method based on cloud side computation model according to claim 4, its It is characterised by, the background picture uploading step is specially：By video monitoring system of the background picture of background picture extraction step extraction with obtaining the background picture Terminal of uniting IP is uploaded.
- 6. a kind of video monitoring system monitoring reliability method based on cloud side computation model according to claim 5, its It is characterised by, the picture contrast step comprises the following steps：Step A：Extract the IP address of the background picture received；Step B：Pass through extracted IP address, filter out with presetting picture described in the IP address identical of the extraction；Step C：The background picture of reception and the default picture filtered out are contrasted, obtain Similarity value.
- 7. a kind of video monitoring system monitoring reliability method based on cloud side computation model according to claim 6, its It is characterised by, the step C is specially：Step C-1：The background picture and the default picture are dimensioned to 8*8 pixels；Step C-2：The background picture and the default picture are converted into gray level image；Step C-3：Calculate the average gray of the background picture and the average gray of the default picture；Step C-4：The average gray of the background picture gray value ratio with each pixel of the background picture in order Compared with：If the gray value of pixel is more than or equal to the average gray of the background picture, 1 is designated as；If the gray value of pixel is less than The average gray of the background picture, is designated as 0；After 64 pixels for traveling through the background picture, the Background is obtained The cryptographic Hash of piece；Step C-5：The average gray of the default picture according to step C-4 order and each pixel of the default picture Gray value compare：If the gray value of pixel is more than or equal to the average gray of the default picture, 1 is designated as；If pixel Gray value is less than the average gray of the default picture, is designated as 0；After 64 pixels for traveling through the default picture, obtain The cryptographic Hash of the default picture；Step C-6：Compare the cryptographic Hash of the background picture and the cryptographic Hash of the default picture, obtain corresponding data bit value The number of different data bit, i.e. Similarity value.
- 8. a kind of video monitoring system monitoring reliability method based on cloud side computation model according to claim 7, its It is characterised by, the threshold value is the arbitrary integer between 10 to 30.
- A kind of 9. video monitoring system monitoring reliability device based on cloud side computation model, it is characterised in that including：Image store：For storing the default picture and the background picture；Video data processing element：For according to default time interval, periodically gathering and obtaining from the terminal of video monitoring system One section of video is taken, and utilizes the image of each frame of Mat variable storages；Background picture extraction unit：For obtaining each frame of the video by the read methods in VideoCapture classes, so Foreground mask is obtained by the apply functions in BackgroundSubtractorMOG2 classes afterwards, finally in by such GetBackgroundImage functions extract background image, and the background picture is uploaded into the image store；Figure Piece processing unit：For the background picture and the default picture to be carried out into similarity-rough set, Similarity value is obtained, and by institute The Similarity value of picture contrast step acquisition is stated compared with default threshold value：If the Similarity value is more than the threshold value, Then prompting obtains the terminal error of the video monitoring system of the background picture.
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