CN112699270A - Monitoring security data transmission and storage method and system based on cloud computing, electronic equipment and computer storage medium - Google Patents
Monitoring security data transmission and storage method and system based on cloud computing, electronic equipment and computer storage medium Download PDFInfo
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Abstract
The invention discloses a monitoring security data transmission and storage method, a system, electronic equipment and a computer storage medium based on cloud computing, which are characterized in that a monitoring video is divided into monitoring video segments, images corresponding to video frames of the monitoring video segments are obtained, completely same video images in the monitoring video segments are processed and screened, simultaneously, mismatching areas of the video images reserved in the monitoring video segments and the video images reserved in other monitoring video segments are obtained through comparison, the similarity of the video images reserved in the monitoring video segments and the video images reserved in other monitoring video segments is calculated, the overall homogeneity of the monitoring video segments after comparison with other monitoring video segments is comprehensively analyzed, meanwhile, the comparison is carried out with a preset overall homogeneity threshold value, and the monitoring video segments after filtration in security monitoring data are counted, and storing is carried out, so that a large amount of storage space is saved, and the actual application requirements of users are met.
Description
Technical Field
The invention relates to the technical field of data transmission and storage, in particular to a monitoring security data transmission and storage method and system based on cloud computing, electronic equipment and a computer storage medium.
Background
Along with the rapid development of the internet of things technology, the intelligent security monitoring is widely applied to various industries, and the security monitoring terminal interacts with the cloud server to intelligently transmit and store security monitoring data, so that the convenience of the security monitoring data can be effectively improved.
However, the existing security monitoring data transmission and storage methods generally have some defects, most of the existing security monitoring data transmission and storage methods adopt manual management and storage, that is, a large amount of security monitoring videos are stored according to shooting time rules manually, so that the methods are simple and convenient, but a large amount of manpower, material resources and economic cost are wasted, and meanwhile, the existing security monitoring data transmission and storage methods cannot filter and delete videos with large homogeneity, so that a large amount of storage space is occupied, the use effect of watching the monitoring videos by users is influenced, the convenience of the security monitoring data is reduced, the actual application requirements of the users cannot be met, and in order to solve the problems, the monitoring security data transmission and storage methods, systems, electronic equipment and computer storage media based on cloud computing are designed.
Disclosure of Invention
The invention aims to provide a monitoring security data transmission and storage method, a system, electronic equipment and a computer storage medium based on cloud computing, wherein the monitoring video in the security monitoring data is divided into monitoring video segments, images corresponding to video frames of the monitoring video segments are obtained, the obtained video images of the monitoring video segments are processed, completely identical video images in the monitoring video segments are screened and deleted, simultaneously, the unmatched areas of the video images reserved in the monitoring video segments and the video images reserved in other monitoring video segments are obtained through comparison, the similarity of the video images reserved in the monitoring video segments and the video images reserved in other monitoring video segments is calculated, the overall similarity of the video images reserved in the monitoring video segments and the video images reserved in other monitoring video segments is comprehensively analyzed, meanwhile, the monitoring video segments are compared with a preset overall homogeneity threshold value, the filtered monitoring video segments in the security monitoring data are counted and stored, and the problems in the background technology are solved.
The purpose of the invention can be realized by the following technical scheme:
in a first aspect, the invention provides a monitoring security data transmission and storage method based on cloud computing, which comprises the following steps:
s1, dividing the monitoring video in the security monitoring data into monitoring video segments, and acquiring images corresponding to video frames of the monitoring video segments;
s2, processing the obtained video images of the monitoring video segments, and screening and deleting the completely same video images in the monitoring video segments;
s3, simultaneously comparing and obtaining the unmatched area of each video image reserved in each monitoring video segment and each video image reserved in other monitoring video segments;
s4, calculating the similarity of each video image reserved in each monitoring video segment after being compared with each video image reserved in other monitoring video segments, and comprehensively analyzing the overall similarity of each monitoring video segment after being compared with other monitoring video segments;
s5, comparing the collected data with a preset overall homogeneity threshold, counting each monitoring video segment filtered in the security monitoring data, and storing the monitoring video segments;
the monitoring security data transmission and storage method based on the cloud computing uses a monitoring security data transmission and storage system based on the cloud computing, and comprises a video dividing module, an image acquisition module, an image processing module, an image comparison module, a similarity analysis module, an analysis server and a storage database;
the analysis server is respectively connected with the image processing module, the image comparison module, the similarity analysis module and the storage database, the image acquisition module is respectively connected with the video division module and the image processing module, and the similarity analysis module is respectively connected with the image comparison module and the storage database;
the video dividing module is used for dividing monitoring videos in the security monitoring data, dividing the monitoring videos into a plurality of monitoring video segments with equal time length according to the time sequence of the monitoring videos, numbering the monitoring video segments according to the time sequence, wherein the numbers of the monitoring video segments are 1,2, 1, i, n, and sending the numbers of the monitoring video segments in the security monitoring data to the image acquisition module;
the image acquisition module is used for receiving the serial numbers of all monitoring video segments in the security monitoring data sent by the video dividing module, acquiring all video frames of all monitoring video segments in the security monitoring data, identifying images corresponding to all video frames of all monitoring video segments in the security monitoring data, counting all video images of all monitoring video segments in the security monitoring data, and forming all video image sets P of all monitoring video segments in the security monitoring dataiA(pia1,pia2,...,piaj,...,piam)，piamSending the j-th video image which is represented as the ith monitoring video segment in the security monitoring data to an image processing module;
the image processing module is used for receiving each video image set of each monitoring video segment in the security monitoring data sent by the image obtaining module, performing normalization processing and enhancement processing on each video image of each monitoring video segment in the received security monitoring data, obtaining each video enhancement image of each monitoring video segment in the security monitoring data, and sending each video enhancement image of each monitoring video segment in the security monitoring data to the analysis server;
the analysis server is used for receiving each video enhanced image of each monitoring video segment in the security monitoring data sent by the image processing module, comparing each video enhanced image of each monitoring video segment in the received security monitoring data with each other video enhanced image of the monitoring video segment, if a certain video enhanced image of a certain monitoring video segment in the security monitoring data is completely matched with a certain other video enhanced image of the monitoring video segment, and the two video enhanced images of the monitored video segment which are compared are completely the same, keeping one completely same video enhanced image, and counting each monitoring video segment in the security monitoring dataEach video enhanced image reserved in the frequency band forms each video enhanced image set P 'reserved in each monitoring video band in the security monitoring data'iA(p′ia1,p′ia2,...,p′iaf,...,p′iak),k≤m，p′iafThe method comprises the steps of representing the f video enhanced image reserved in the ith monitoring video segment in security monitoring data, and sending each video enhanced image set reserved in each monitoring video segment in the security monitoring data to an image comparison module;
the image comparison module is used for receiving each video enhancement image set reserved in each monitoring video segment in the security monitoring data sent by the analysis server, comparing each video enhancement image reserved in each monitoring video segment in the received security monitoring data with each video enhancement image reserved in other monitoring video segments, extracting the unmatched area of each video enhancement image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhancement image reserved in other monitoring video segments by adopting an edge contour extraction algorithm, counting the unmatched area S of each video enhancement image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhancement image reserved in other monitoring video segments, and forming the unmatched area set S of each video enhancement image reserved in each monitoring segment in the security monitoring data after being compared with each video enhancement image reserved in other monitoring segments.inPx(sinpx 1,sinpx 2,...,sinpx f,...,sinpx k)，k≤m，sinpx fThe area is represented as the mismatching area after the comparison between the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data and the x-th video enhanced image reserved in the other nth monitoring video segment, wherein x is 1,2A module;
the similarity analysis module is used for receiving a mismatching area set obtained after comparing each video enhancement image reserved in each monitoring video segment in the security monitoring data sent by the image comparison module with each video enhancement image reserved in other monitoring video segments, extracting the standard total area of the normalized images stored in the storage database, calculating the similarity of each video enhancement image reserved in each monitoring video segment in the security monitoring data with each video enhancement image reserved in other monitoring video segments after comparison, and calculating the similarity of each video enhancement image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhancement image reserved in other monitoring video segments, and forming a similarity set of each video enhancement image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhancement image reserved in other monitoring video segments.
Representing the similarity of the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data after being compared with the x-th video enhanced image reserved in the other nth monitoring video segment, and sending the similarity set of each video enhanced image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhanced image reserved in each other monitoring video segment to an analysis server;
the analysis server is used for receiving a similarity set obtained by comparing each video enhancement image reserved in each monitoring video segment in the security monitoring data sent by the similarity analysis module with each video enhancement image reserved in each other monitoring video segment, calculating the overall similarity after each monitoring video segment in the security monitoring data is compared with each other monitoring video segment, counting the overall similarity after each monitoring video segment in the security monitoring data is compared with each other monitoring video segment, comparing the overall similarity after each monitoring video segment in the security monitoring data is compared with each other monitoring video segment with a preset overall similarity threshold, and if the overall similarity after a certain monitoring video segment in the security monitoring data is compared with a certain other monitoring video segment is larger than or equal to the preset overall similarity threshold, indicating that the monitoring video segment in the security monitoring data is identical with the other monitoring video segment, filtering one of the monitoring video segments, counting the filtered monitoring video segments in the security monitoring data, and sending the filtered monitoring video segments in the security monitoring data to a storage database;
the storage database is used for receiving and storing each monitoring video segment after filtering in the monitoring prevention data sent by the analysis server, and simultaneously storing the standard total area s of the image after normalization processingSign board。
In a possible design of the first aspect, the normalization processing is configured to change each video image of each monitoring video segment in the security monitoring data into an image with a consistent size and without a declination; the enhancement processing is used for enhancing the high-frequency components of the video images of the monitoring video segments after the processing.
In one possible design of the first aspect, the edge contour extraction algorithm includes the following steps:
h1, preprocessing the compared image, and performing smooth filtering processing by adopting a small two-dimensional Gaussian template to remove image noise;
h2, simultaneously carrying out edge detection processing on the smoothed image to obtain a primary edge response image;
h3, performing refinement processing on the edge response image by adopting a non-maximum suppression method to obtain a single-pixel edge image;
h4, simultaneously, carrying out binarization processing based on a hysteresis threshold on the one-way pixel edge image to obtain a continuous edge contour image, and extracting the unmatched area of the edge contour image through a recursive tracking algorithm.
In a possible design of the first aspect, each video enhanced image retained in each monitoring video segment in the security monitoring data is compared with each video enhanced image retained in each other monitoring video segmentThe subsequent similarity calculation formula is
The similarity is expressed after the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data is compared with the x-th video enhanced image reserved in the other nth monitoring video segment, wherein x is 1,2inpx fExpressed as the mismatching area s after the comparison between the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data and the x-th video enhanced image reserved in the other nth monitoring video segmentSign boardExpressed as the standard total area of the normalized image.
In a possible design of the first aspect, the calculation formula of the total homogeneity of each monitoring video segment in the security monitoring data after being compared with other monitoring video segments is
Expressed as the overall homogeneity degree of the ith monitoring video segment in the security monitoring data after being compared with other nth monitoring video segments,
the similarity of the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data and the x-th video enhanced image reserved in the other nth monitoring video segment is expressed, wherein x is 1, 2.
In a second aspect, the present invention also provides an electronic device comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor retrieves the computer program from the non-volatile memory through the network interface when running, and runs the computer program through the memory to execute the method of the present invention.
In a third aspect, the present invention further provides a readable storage medium applied to a computer, where a computer program is burned in the readable storage medium, and when the computer program runs in a memory of a server, the method of the present invention is implemented.
Has the advantages that:
(1) the invention provides a monitoring security data transmission and storage method based on cloud computing, a system, electronic equipment and a computer storage medium, by dividing the monitoring video in the security monitoring data into monitoring video segments, obtaining the image corresponding to each video frame of each monitoring video segment, processing the obtained video images of the monitoring video segments, screening and deleting the completely same video images in the monitoring video segments, therefore, a large amount of storage space is saved, the convenience of security monitoring data is improved, meanwhile, the mismatch area of each video image reserved in each monitoring video segment after being compared with each video image reserved in other monitoring video segments is obtained through comparison, the similarity of each video image reserved in each monitoring video segment after being compared with each video image reserved in other monitoring video segments is calculated, and reliable reference data are provided for analyzing the overall similarity of each monitoring video segment after being compared with other monitoring video segments in the later period.
(2) According to the invention, the overall homogeneity degree of each monitoring video segment after being compared with other monitoring video segments is comprehensively analyzed and compared with the preset overall homogeneity degree threshold value, and each monitoring video segment after being filtered in the security monitoring data is counted and stored at the same time, so that a large amount of manpower, material resources and economic cost are saved, the storage space of the security monitoring data is reasonably utilized, the problem of influencing the use effect of watching the monitoring video by a user is avoided, and the actual application requirements of the user are met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the method steps of the present invention;
fig. 2 is a schematic view of a module connection structure according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a first aspect of the present invention provides a monitoring security data transmission and storage method based on cloud computing, including the following steps:
s1, dividing the monitoring video in the security monitoring data into monitoring video segments, and acquiring images corresponding to video frames of the monitoring video segments;
s2, processing the obtained video images of the monitoring video segments, and screening and deleting the completely same video images in the monitoring video segments;
s3, simultaneously comparing and obtaining the unmatched area of each video image reserved in each monitoring video segment and each video image reserved in other monitoring video segments;
s4, calculating the similarity of each video image reserved in each monitoring video segment after being compared with each video image reserved in other monitoring video segments, and comprehensively analyzing the overall similarity of each monitoring video segment after being compared with other monitoring video segments;
s5, comparing the collected data with a preset overall homogeneity threshold, counting each monitoring video segment filtered in the security monitoring data, and storing the monitoring video segments;
the monitoring security data transmission and storage method based on the cloud computing uses a monitoring security data transmission and storage system based on the cloud computing, and comprises a video dividing module, an image acquisition module, an image processing module, an image comparison module, a similarity analysis module, an analysis server and a storage database.
The analysis server is respectively connected with the image processing module, the image comparison module, the similarity analysis module and the storage database, the image acquisition module is respectively connected with the video division module and the image processing module, and the similarity analysis module is respectively connected with the image comparison module and the storage database.
The video dividing module is used for dividing monitoring videos in the security monitoring data, dividing the monitoring videos into a plurality of monitoring video segments with equal time length according to the time sequence of the monitoring videos, numbering the monitoring video segments according to the time sequence, wherein the numbers of the monitoring video segments are respectively 1,2, 1, i, n, and sending the numbers of the monitoring video segments in the security monitoring data to the image acquisition module.
The image acquisition module is used for receiving the serial numbers of all monitoring video segments in the security monitoring data sent by the video dividing module, acquiring all video frames of all monitoring video segments in the security monitoring data, identifying images corresponding to all video frames of all monitoring video segments in the security monitoring data, counting all video images of all monitoring video segments in the security monitoring data, and forming all video image sets P of all monitoring video segments in the security monitoring dataiA(pia1,pia2,...,piaj,...,piam)，piamAnd sending the j-th video image expressed as the ith monitoring video segment in the security monitoring data to the image processing module.
The image processing module is used for receiving each video image set of each monitoring video segment in the security monitoring data sent by the image obtaining module, performing normalization processing and enhancement processing on each video image of each monitoring video segment in the received security monitoring data, obtaining each video enhancement image of each monitoring video segment in the security monitoring data, and sending each video enhancement image of each monitoring video segment in the security monitoring data to the analysis server;
the normalization processing is used for changing all video images of all monitoring video segments in the security monitoring data into images which are consistent in size and have no deflection angle; the enhancement processing is used for enhancing the high-frequency components of the video images of the monitoring video segments after the processing.
The analysis server is used for receiving each video enhanced image of each monitoring video segment in the security monitoring data sent by the image processing module, comparing each video enhanced image of each monitoring video segment in the received security monitoring data with each other video enhanced image of the monitoring video segment, if a certain video enhanced image of a certain monitoring video segment in the security monitoring data is completely matched with a certain other video enhanced image of the monitoring video segment, indicating that the two video enhanced images of the monitoring video segment which are compared are completely the same, keeping one completely same video enhanced image, therefore, a large amount of storage space is saved, the convenience of security monitoring data is improved, the video enhancement images reserved in the monitoring video segments in the security monitoring data are counted, and the video enhancement image sets P' reserved in the monitoring video segments in the security monitoring data are formed.iA(p′ia1,p′ia2,...,p′iaf,...,p′iak),k≤m，p′iafAnd the f video enhanced image which is reserved in the ith monitoring video segment in the security monitoring data is represented, and each video enhanced image set reserved in each monitoring video segment in the security monitoring data is sent to the image comparison module.
The image comparison module is used for receiving each video enhancement image set reserved in each monitoring video segment in the security monitoring data sent by the analysis server, comparing each video enhancement image reserved in each monitoring video segment in the received security monitoring data with each video enhancement image reserved in other monitoring video segments, and adopting an edge wheelThe contour extraction algorithm extracts the mismatch area of each video enhancement image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhancement image reserved in each other monitoring video segment, the mismatch area of each video enhancement image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhancement image reserved in each other monitoring video segment is counted, and a mismatch area set S of each video enhancement image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhancement image reserved in each other monitoring video segment in the security monitoring data after being compared is formedinPx(sinpx 1,sinpx 2,...,sinpx f,...,sinpx k)，k≤m，sinpx fThe method comprises the steps that the mismatching area of an f-th video enhanced image reserved in an ith monitoring video segment in security monitoring data after being compared with an x-th video enhanced image reserved in other nth monitoring video segments is represented, wherein x is 1,2,.
The edge contour extraction algorithm comprises the following steps:
h1, preprocessing the compared image, and performing smooth filtering processing by adopting a small two-dimensional Gaussian template to remove image noise;
h2, simultaneously carrying out edge detection processing on the smoothed image to obtain a primary edge response image;
h3, performing refinement processing on the edge response image by adopting a non-maximum suppression method to obtain a single-pixel edge image;
h4, simultaneously, carrying out binarization processing based on a hysteresis threshold on the one-way pixel edge image to obtain a continuous edge contour image, and extracting the unmatched area of the edge contour image through a recursive tracking algorithm.
The similarity analysis module is used for receiving security monitoring data sent by the image contrast moduleThe unmatched area set after the contrast of each video enhancement image reserved in each monitoring video segment and each video enhancement image reserved in other monitoring video segments is extracted, the standard total area of the normalized images stored in the storage database is extracted, and the similarity of each video enhancement image reserved in each monitoring video segment in the security monitoring data and each video enhancement image reserved in other monitoring video segments after the contrast is calculated
The similarity is expressed after the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data is compared with the x-th video enhanced image reserved in the other nth monitoring video segment, wherein x is 1,2inpx fExpressed as the mismatching area s after the comparison between the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data and the x-th video enhanced image reserved in the other nth monitoring video segmentSign boardExpressing the standard total area of the images after normalization processing, and counting the similarity of each video enhanced image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhanced image reserved in other monitoring video segments to form a similarity set after each video enhanced image reserved in each monitoring video segment in the security monitoring data is compared with each video enhanced image reserved in other monitoring video segments
Representing the similarity of the f video enhanced image reserved in the ith monitoring video segment in the security monitoring data after being compared with the x video enhanced image reserved in the other nth monitoring video segment, and providing reliability for analyzing the overall similarity of each monitoring video segment after being compared with each other monitoring video segment in the later periodAnd sending the similarity set obtained by comparing each video enhanced image reserved in each monitoring video segment in the security monitoring data with each video enhanced image reserved in other monitoring video segments to an analysis server.
The analysis server is used for receiving a similarity set obtained by comparing each video enhancement image reserved in each monitoring video segment in the security monitoring data sent by the similarity analysis module with each video enhancement image reserved in each other monitoring video segment, and calculating the overall similarity of each monitoring video segment in the security monitoring data after being compared with each other monitoring video segment
Expressed as the overall homogeneity degree of the ith monitoring video segment in the security monitoring data after being compared with other nth monitoring video segments,
representing the similarity after comparing the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data with the x-th video enhanced image reserved in the other nth monitoring video segment, wherein x is 1,2,. If the monitoring video segment in the security monitoring data is identical to the other monitoring video segments, filtering one of the monitoring video segments, and counting the filtered monitors in the security monitoring dataAnd the control video frequency segments send each monitoring video frequency segment after filtering in the security monitoring data to the storage database.
The storage database is used for receiving and storing each monitoring video segment after filtering in the monitoring-preventing data sent by the analysis server, so that a large amount of manpower, material resources and economic cost are saved, the storage space of the security monitoring data is reasonably used, the problem that the use effect of watching the monitoring video by a user is influenced is avoided, the actual application requirement of the user is met, and the standard total area s of the image after normalization processing is storedSign board。
In a second aspect, the present invention also provides an electronic device comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor retrieves the computer program from the non-volatile memory through the network interface when running, and runs the computer program through the memory to execute the method of the present invention.
In a third aspect, the present invention further provides a readable storage medium applied to a computer, where a computer program is burned in the readable storage medium, and when the computer program runs in a memory of a server, the method of the present invention is implemented.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (7)
1. Monitoring security data transmission and storage method based on cloud computing is characterized in that: the method comprises the following steps:
s1, dividing the monitoring video in the security monitoring data into monitoring video segments, and acquiring images corresponding to video frames of the monitoring video segments;
s2, processing the obtained video images of the monitoring video segments, and screening and deleting the completely same video images in the monitoring video segments;
s3, simultaneously comparing and obtaining the unmatched area of each video image reserved in each monitoring video segment and each video image reserved in other monitoring video segments;
s4, calculating the similarity of each video image reserved in each monitoring video segment after being compared with each video image reserved in other monitoring video segments, and comprehensively analyzing the overall similarity of each monitoring video segment after being compared with other monitoring video segments;
s5, comparing the collected data with a preset overall homogeneity threshold, counting each monitoring video segment filtered in the security monitoring data, and storing the monitoring video segments;
the monitoring security data transmission and storage method based on the cloud computing uses a monitoring security data transmission and storage system based on the cloud computing, and comprises a video dividing module, an image acquisition module, an image processing module, an image comparison module, a similarity analysis module, an analysis server and a storage database;
the analysis server is respectively connected with the image processing module, the image comparison module, the similarity analysis module and the storage database, the image acquisition module is respectively connected with the video division module and the image processing module, and the similarity analysis module is respectively connected with the image comparison module and the storage database;
the video dividing module is used for dividing monitoring videos in the security monitoring data, dividing the monitoring videos into a plurality of monitoring video segments with equal time length according to the time sequence of the monitoring videos, numbering the monitoring video segments according to the time sequence, wherein the numbers of the monitoring video segments are 1,2, 1, i, n, and sending the numbers of the monitoring video segments in the security monitoring data to the image acquisition module;
the image acquisition module is used for receiving the serial numbers of all monitoring video segments in the security monitoring data sent by the video dividing module, acquiring all video frames of all monitoring video segments in the security monitoring data, identifying images corresponding to all video frames of all monitoring video segments in the security monitoring data, and counting all video images of all monitoring video segments in the security monitoring dataForming each video image set P of each monitoring video segment in the security monitoring dataiA(pia1,pia2,...,piaj,...,piam)，piamSending the j-th video image which is represented as the ith monitoring video segment in the security monitoring data to an image processing module;
the image processing module is used for receiving each video image set of each monitoring video segment in the security monitoring data sent by the image obtaining module, performing normalization processing and enhancement processing on each video image of each monitoring video segment in the received security monitoring data, obtaining each video enhancement image of each monitoring video segment in the security monitoring data, and sending each video enhancement image of each monitoring video segment in the security monitoring data to the analysis server;
the analysis server is used for receiving each video enhanced image of each monitoring video segment in the security monitoring data sent by the image processing module, comparing each video enhanced image of each monitoring video segment in the received security monitoring data with each other video enhanced image of the monitoring video segment, if a certain video enhanced image of a certain monitoring video segment in the security monitoring data is completely matched with a certain other video enhanced image of the monitoring video segment, and the two video enhanced images of the monitored video segment which are compared are completely the same, keeping one completely same video enhanced image, counting each video enhanced image reserved in each monitoring video segment in the security monitoring data, and forming each video enhanced image set P reserved in each monitoring video segment in the security monitoring datai′A(p′ia1,p′ia2,...,p′iaf,...,p′iak),k≤m，p′iafThe method comprises the steps of representing the f video enhanced image reserved in the ith monitoring video segment in security monitoring data, and sending each video enhanced image set reserved in each monitoring video segment in the security monitoring data to an image comparison module;
the image comparison module is used for receiving the security sent by the analysis serverThe method comprises the steps of preventing each video enhancement image set reserved in each monitoring video segment in monitoring data, comparing each video enhancement image reserved in each monitoring video segment in received security monitoring data with each video enhancement image reserved in other monitoring video segments, extracting the unmatched area of each video enhancement image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhancement image reserved in other monitoring video segments by adopting an edge contour extraction algorithm, counting the unmatched area of each video enhancement image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhancement image reserved in other monitoring video segments, and forming the unmatched area set S of each video enhancement image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhancement image reserved in other monitoring video segments.inPx(sinpx 1,sinpx 2,...,sinpx f,...,sinpx k)，k≤m，sinpx fThe method comprises the steps that the mismatching area of an f-th video enhanced image reserved in an ith monitoring video segment in security monitoring data after being compared with an x-th video enhanced image reserved in other nth monitoring video segments is represented, wherein x is 1,2,.
The similarity analysis module is used for receiving a mismatching area set obtained after comparing each video enhancement image reserved in each monitoring video segment in the security monitoring data sent by the image comparison module with each video enhancement image reserved in other monitoring video segments, extracting the standard total area of the images stored in the storage database after normalization processing, calculating the similarity of each video enhancement image reserved in each monitoring video segment in the security monitoring data and each video enhancement image reserved in other monitoring video segments after comparison, and counting each video enhancement image reserved in each monitoring video segment in the security monitoring data and each video enhancement image reserved in other monitoring video segmentsThe similarity of each video enhancement image reserved in each monitoring video segment after being compared forms a similarity set of each video enhancement image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhancement image reserved in each other monitoring video segment
Representing the similarity of the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data after being compared with the x-th video enhanced image reserved in the other nth monitoring video segment, and sending the similarity set of each video enhanced image reserved in each monitoring video segment in the security monitoring data after being compared with each video enhanced image reserved in each other monitoring video segment to an analysis server;
the analysis server is used for receiving a similarity set obtained by comparing each video enhancement image reserved in each monitoring video segment in the security monitoring data sent by the similarity analysis module with each video enhancement image reserved in each other monitoring video segment, calculating the overall similarity after each monitoring video segment in the security monitoring data is compared with each other monitoring video segment, counting the overall similarity after each monitoring video segment in the security monitoring data is compared with each other monitoring video segment, comparing the overall similarity after each monitoring video segment in the security monitoring data is compared with each other monitoring video segment with a preset overall similarity threshold, and if the overall similarity after a certain monitoring video segment in the security monitoring data is compared with a certain other monitoring video segment is larger than or equal to the preset overall similarity threshold, indicating that the monitoring video segment in the security monitoring data is identical with the other monitoring video segment, filtering one of the monitoring video segments, counting the filtered monitoring video segments in the security monitoring data, and sending the filtered monitoring video segments in the security monitoring data to a storage database;
the storage database is used for receiving the monitoring prevention number sent by the analysis serverFiltering each monitoring video segment according to the data, storing the monitoring video segments, and storing the standard total area s of the images after normalization processingSign board。
2. The monitoring security data transmission and storage method based on the cloud computing is characterized in that: the normalization processing is used for changing all video images of all monitoring video segments in the security monitoring data into images which are consistent in size and have no deflection angle; the enhancement processing is used for enhancing the high-frequency components of the video images of the monitoring video segments after the processing.
3. The monitoring security data transmission and storage method based on the cloud computing is characterized in that: the edge contour extraction algorithm comprises the following steps:
h1, preprocessing the compared image, and performing smooth filtering processing by adopting a small two-dimensional Gaussian template to remove image noise;
h2, simultaneously carrying out edge detection processing on the smoothed image to obtain a primary edge response image;
h3, performing refinement processing on the edge response image by adopting a non-maximum suppression method to obtain a single-pixel edge image;
h4, simultaneously, carrying out binarization processing based on a hysteresis threshold on the one-way pixel edge image to obtain a continuous edge contour image, and extracting the unmatched area of the edge contour image through a recursive tracking algorithm.
4. The monitoring security data transmission and storage method based on the cloud computing is characterized in that: the similarity calculation formula after comparing each video enhancement image reserved in each monitoring video segment in the security monitoring data with each video enhancement image reserved in other monitoring video segments is
The similarity is expressed after the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data is compared with the x-th video enhanced image reserved in the other nth monitoring video segment, wherein x is 1,2inpx fExpressed as the mismatching area s after the comparison between the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data and the x-th video enhanced image reserved in the other nth monitoring video segmentSign boardExpressed as the standard total area of the normalized image.
5. The monitoring security data transmission and storage method based on the cloud computing is characterized in that: the total homogeneity calculation formula after comparing each monitoring video segment in the security monitoring data with each other monitoring video segment is
Expressed as the overall homogeneity degree of the ith monitoring video segment in the security monitoring data after being compared with other nth monitoring video segments,
the similarity of the f-th video enhanced image reserved in the ith monitoring video segment in the security monitoring data and the x-th video enhanced image reserved in the other nth monitoring video segment is expressed, wherein x is 1, 2.
6. An electronic device, characterized in that: the method comprises the following steps: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when running, retrieves a computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method of any of claims 1-5.
7. A readable storage medium applied to a computer, characterized in that: the readable storage medium is burned with a computer program that, when run in the memory of the server, implements the method of any of the above claims 1-5.
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| CN113507611A (en) * | 2021-09-09 | 2021-10-15 | 深圳思谋信息科技有限公司 | Image storage method and device, computer equipment and storage medium |
| CN115861905A (en) * | 2023-03-01 | 2023-03-28 | 青岛警友大象科技有限公司 | Hotel management system based on Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113507611A (en) * | 2021-09-09 | 2021-10-15 | 深圳思谋信息科技有限公司 | Image storage method and device, computer equipment and storage medium |
| CN115861905A (en) * | 2023-03-01 | 2023-03-28 | 青岛警友大象科技有限公司 | Hotel management system based on Internet of things |
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