CN117939044B - Video intelligent storage management system suitable for wireless video monitoring system - Google Patents
Video intelligent storage management system suitable for wireless video monitoring system Download PDFInfo
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Abstract
The invention discloses a video intelligent storage management system suitable for a wireless video monitoring system, relates to the technical field of video intelligent storage management, and solves the technical problems that in the prior art, mobile main body feature extraction cannot be carried out on a video acquisition area, so that sub-tag setting cannot be carried out through different feature extraction, screening amount can be conveniently reduced during video calling.
Description
Technical Field
The invention relates to the technical field of intelligent video storage management, in particular to an intelligent video storage management system suitable for a wireless video monitoring system.
Background
Wireless video transmission is a monitoring system that transmits signals such as video, sound, data, etc. using radio waves without wiring (cables); wireless image transmission, i.e. video real-time transmission, mainly has two concepts, namely, mobile transmission, i.e. mobile communication, and broadband transmission, i.e. broadband communication.
However, in the prior art, when the wireless video monitoring system stores the system, the real-time monitoring video of the wireless video monitoring system cannot be stored and detected, and the moving main body feature extraction cannot be performed on the video acquisition area, so that the sub-tag setting cannot be performed through different feature extraction, and the screening amount can be conveniently reduced when the video is called.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems and provides a video intelligent storage management system suitable for a wireless video monitoring system.
The aim of the invention can be achieved by the following technical scheme:
The intelligent video storage management system suitable for the wireless video monitoring system comprises a storage center, wherein the storage center is in communication connection with a distributed storage detection unit, a feature extraction type storage unit, an intelligent storage management and control unit and a storage efficiency evaluation unit;
the distributed storage detection unit is used for carrying out storage detection on real-time monitoring videos of the wireless video monitoring system, dividing the coverage area of the wireless video monitoring system into areas according to video monitoring equipment set in the areas, marking the divided areas as video acquisition areas, setting the video acquisition areas as natural numbers with the numbers i and i being larger than 1, taking the numbers of the video acquisition areas as main labels of video storage, and carrying out distributed storage detection on the stored videos with the main labels;
The feature extraction type storage unit is used for extracting the features of the moving main body of the video acquisition area, setting sub-tags of the acquired video according to the feature extraction, performing intelligent storage control on the acquired video of the video acquisition area by the intelligent storage control unit, and evaluating the storage efficiency of the acquired video by the storage efficiency evaluation unit after the intelligent storage control.
As a preferred embodiment of the present invention, the distributed storage detection unit operates as follows:
Obtaining the moving record delay time of a moving body corresponding to a moving adjacent video acquisition area at the same time in the acquired video and the maximum difference value of the video acquisition delay seconds in the adjacent video acquisition area at a position corresponding to the non-same time in the acquired video, and comparing the moving record delay time of the moving body corresponding to the moving adjacent video acquisition area at the same time in the acquired video and the maximum difference value of the video acquisition delay seconds in the adjacent video acquisition area at the position corresponding to the non-same time in the acquired video with a delay time threshold and a second maximum difference value respectively.
As a preferred implementation mode of the invention, if the movement record delay time of a moving body corresponding to a moving adjacent video acquisition area at the same moment in the acquired video exceeds a delay time threshold, or the maximum difference value of the video acquisition delay seconds in the adjacent video acquisition area at a position corresponding to the non-same moment in the acquired video exceeds a second maximum difference value threshold, judging that the distributed storage detection of the acquired video is abnormal, generating a distributed storage abnormal signal and sending the distributed storage abnormal signal to a storage center, and after the storage center receives the distributed storage abnormal signal, performing video acquisition control on the video acquisition area;
If the moving record delay time of the moving body corresponding to the moving adjacent video acquisition area at the same time in the acquired video does not exceed the delay time threshold and the maximum difference value of the video acquisition delay seconds in the adjacent video acquisition area at the position corresponding to the non-same time in the acquired video does not exceed the maximum difference value threshold of the seconds, judging that the distributed storage detection of the acquired video is normal, generating a distributed storage normal signal and sending the distributed storage normal signal to a storage center.
As a preferred embodiment of the present invention, the feature extraction memory unit operates as follows:
The method comprises the steps of monitoring a moving body of an acquired video of a video acquisition area, dividing the acquired video into a plurality of video segments according to a set video storage duration threshold value, and acquiring moving parameters of the moving body of each video segment; the method comprises the steps of obtaining the numerical value excess of any parameter of a moving body in an acquired video exceeding a parameter mean value corresponding to the moving parameter and the minimum value of the overlapping track distance in the passing track of each moving body in the acquired video, and comparing the numerical value excess of any parameter of the moving body in the acquired video exceeding the parameter mean value corresponding to the moving parameter and the minimum value of the overlapping track distance in the passing track of each moving body in the acquired video with a numerical value excess threshold and a minimum value threshold of the track distance respectively.
As a preferred implementation mode of the invention, if any parameter of the moving parameters of the moving bodies in the acquired video exceeds the numerical excess of the moving parameter corresponding to the parameter mean value by more than a numerical excess threshold, or the minimum value of the overlapping track distance in the passing track of each moving body in the acquired video does not exceed the minimum value threshold of the track distance, the corresponding moving parameter is used as the sub-label of the current acquired video; if any one of the moving parameters of the moving bodies in the acquired video exceeds the numerical value excess threshold value of the moving parameter corresponding to the parameter mean value, and the minimum value of the overlapping track distance in the passing track of each moving body in the acquired video exceeds the minimum value threshold value of the track distance, the corresponding moving parameter is not subjected to sub-label setting.
In a preferred embodiment of the invention, the acquired videos of each video acquisition area are sent to a storage center, when the storage center receives the acquired videos and requests to call the videos, screening is performed according to the moving parameters of the moving main body required in real time after screening is completed according to the area numbers, and the moving main body with the same moving parameters set as the sub-label is used as a secondary screening object.
As a preferred embodiment of the present invention, the operation process of the storage intelligent control unit is as follows:
Storing and controlling the acquired video which is subjected to distributed storage, dividing the acquired video into o subframe pictures, wherein o is a natural number larger than 1, and analyzing a static main body in the subframe pictures in the acquired video, wherein the static main body is represented as an object which is not moved or is fixed in the acquired video; the method comprises the steps of obtaining the moving deviation of the position of a static main body in the same proportion picture in an adjacent subframe picture in an acquired video and the duration of the same acquisition region of the moving main body in the adjacent subframe picture in the acquired video, and comparing the moving deviation of the position of the static main body in the same proportion picture in the adjacent subframe picture in the acquired video and the duration of the same acquisition region of the moving main body in the adjacent subframe picture in the acquired video with a position moving deviation threshold and a duration threshold respectively.
As a preferred implementation mode of the invention, if the movement deviation of the positions of the static main bodies in the same proportion pictures in the adjacent subframe pictures in the acquired video exceeds a position movement deviation threshold value and the duration time of the moving main bodies in the same acquisition area in the adjacent subframe pictures in the acquired video exceeds a duration time threshold value, judging that the current subframe picture is suitable for compression processing, generating a storage control signal and sending the storage control signal to a storage center;
If the moving deviation of the position of the static main body in the same proportion picture in the adjacent sub-frame picture in the acquired video does not exceed the position moving deviation threshold value, or the duration of the moving main body in the same acquisition area in the adjacent sub-frame picture in the acquired video does not exceed the duration threshold value, judging that the current sub-frame picture is not suitable for compression processing, generating a storage non-control signal and sending the storage non-control signal to a storage center.
As a preferred embodiment of the present invention, the storage efficiency evaluation unit operates as follows:
Obtaining the maximum deviation value of the video completing the calling time length in the video calling process of different storage time lengths and the numerical difference between the unmanaged sub-frame picture definition and the actual setting picture definition in the calling video, and comparing the maximum deviation value of the video completing the calling time length in the video calling process of different storage time lengths and the numerical difference between the unmanaged sub-frame picture definition and the actual setting picture definition in the calling video with a time length maximum deviation value threshold value and a definition value difference threshold value respectively:
if the maximum deviation value of the video completing the calling duration exceeds the maximum deviation value threshold of the duration in the video calling process of different storage durations or the numerical difference between the picture definition of the sub-frame which is not managed in the calling video and the picture definition which is actually set exceeds the definition value difference threshold, judging that the storage efficiency is evaluated abnormal, generating an efficiency evaluation abnormal signal and sending the efficiency evaluation abnormal signal to a storage center;
if the maximum deviation value of the video completing the calling duration in the video calling process of different storage durations does not exceed the maximum deviation value threshold of the duration and the numerical difference between the picture definition of the sub-frame which is not controlled in the calling video and the picture definition which is actually set does not exceed the numerical difference threshold of the definition, judging that the storage efficiency evaluation is normal, generating an efficiency evaluation normal signal and sending the efficiency evaluation normal signal to a storage center.
Compared with the prior art, the invention has the beneficial effects that:
1. According to the method, the real-time monitoring video of the wireless video monitoring system is stored and detected, whether the video storage collected by the current system is qualified or not is judged, the problem that the retrieval strength is high when the video is queried due to low video storage efficiency is avoided, the video retrieval efficiency is reduced, and the operation efficiency of the wireless video monitoring system is reduced; the mobile main body feature extraction is carried out on the video acquisition area, the sub-tag setting of the acquired video is carried out according to the feature extraction, the sub-tag setting is carried out through different feature extraction, the screening video quantity can be reduced when the video is called, the video screening cost is reduced, and the video screening efficiency is improved.
2. According to the method, the intelligent storage management and control are carried out on the collected video of the video collection area, so that the storage efficiency of the collected video is improved, and the problem that the video storage pressure is high and the video storage and retrieval efficiency is affected due to the fact that the accumulated quantity of the collected video is increased is avoided; the storage efficiency of the acquired video is evaluated, whether the acquired video stored in real time in the current video acquisition area is stored or not is judged to meet the requirement, so that the acquired video is low in storage efficiency, the video storage can not meet the actual demand of calling, storage regulation and control can not be performed in time, and the storage efficiency is continuously reduced when the video storage capacity is increased.
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The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a schematic block diagram of a video intelligent storage management system suitable for a wireless video monitoring system according to the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, a video intelligent storage management system suitable for a wireless video monitoring system includes a storage center, wherein the storage center is communicatively connected with a distributed storage detection unit, a feature extraction type storage unit, a storage intelligent management control unit and a storage efficiency evaluation unit;
the storage center generates a distributed storage detection signal and sends the distributed storage detection signal to the distributed storage detection unit, and after the distributed storage detection unit receives the distributed storage detection signal, the distributed storage detection unit stores and detects real-time monitoring video of the wireless video monitoring system, judges whether the video storage collected by the current system is qualified or not, avoids large retrieval intensity when video inquiry is caused by video storage inefficiency, reduces video retrieval efficiency, and reduces the operation efficiency of the wireless video monitoring system;
Dividing the coverage area of the wireless video monitoring system according to video monitoring equipment set in the area, marking the divided area as a video acquisition area, setting a reference number i of the video acquisition area as a natural number greater than 1, taking the reference number i as a main label of video storage according to the number of the video acquisition area, and carrying out distributed storage detection on the stored video set with the main label;
Obtaining a moving body movement record delay time length of a moving body corresponding to a moving adjacent video acquisition area in the same time in an acquired video and a maximum difference value of video acquisition delay seconds in a non-same time corresponding position adjacent video acquisition area in the acquired video, and comparing the moving body movement record delay time length of the moving body corresponding to the moving adjacent video acquisition area in the same time in the acquired video and the maximum difference value of video acquisition delay seconds in the non-same time corresponding position adjacent video acquisition area in the acquired video with a delay time length threshold and a second maximum difference value threshold respectively: the moving adjacency is expressed as that a moving object exists in an adjacent video acquisition area and moves between the two areas at the current moment;
If the moving record delay time of the moving body corresponding to the moving adjacent video acquisition area at the same moment in the acquired video exceeds a delay time threshold, or the maximum difference value of the video acquisition delay seconds in the adjacent video acquisition area at the position corresponding to the non-same moment in the acquired video exceeds a second maximum difference value threshold, judging that the distributed storage detection of the acquired video is abnormal, generating a distributed storage abnormal signal and sending the distributed storage abnormal signal to a storage center, and after the storage center receives the distributed storage abnormal signal, performing video acquisition management on the video acquisition area;
If the moving record delay time of the moving body corresponding to the moving adjacent video acquisition area at the same time in the acquired video does not exceed the delay time threshold value and the maximum difference value of the video acquisition delay seconds in the adjacent video acquisition area at the position corresponding to the non-same time in the acquired video does not exceed the maximum difference value threshold value of the seconds, judging that the distributed storage detection of the acquired video is normal, generating a distributed storage normal signal and sending the distributed storage normal signal to a storage center;
Meanwhile, a feature extraction type storage signal is generated and sent to a feature extraction type storage unit, after the feature extraction type storage unit receives the feature extraction type storage signal, moving main feature extraction is carried out on a video acquisition area, and acquisition video sub-tag setting is carried out according to the feature extraction, so that when video is called, screening video quantity can be reduced, video screening cost is reduced, and video screening efficiency is improved; the moving body is represented as a moving object such as a person or a vehicle in the video acquisition area;
The method comprises the steps of monitoring a moving body of an acquired video of a video acquisition area, dividing the acquired video into a plurality of video segments according to a set video storage duration threshold, and acquiring moving parameters of the moving body of each video segment, wherein the moving parameters are expressed as parameters such as average moving speed, instantaneous moving speed and the like of the moving body; acquiring a numerical value excess of any parameter of a moving body in an acquisition video exceeding a parameter mean value corresponding to the moving parameter and a minimum value of an overlapping track distance in a passing track of each moving body in the acquisition video, and comparing the numerical value excess of any parameter of the moving body in the acquisition video exceeding the parameter mean value corresponding to the moving parameter and the minimum value of the overlapping track distance in the passing track of each moving body in the acquisition video with a threshold value of the numerical value excess and a threshold value of the minimum value of the track distance respectively:
if any one of the moving parameters of the moving bodies in the acquired video exceeds the numerical value excess of the moving parameter corresponding to the parameter mean value by a numerical value excess threshold, or the minimum value of the overlapping track distance in the passing track of each moving body in the acquired video does not exceed the minimum value threshold of the track distance, the corresponding moving parameter is used as a sub-label of the current acquired video; if any one of the moving parameters of the moving bodies in the acquired video exceeds the numerical value excess threshold value of the parameter mean value corresponding to the moving parameter, and the minimum value of the overlapping track distance in the passing track of each moving body in the acquired video exceeds the minimum value threshold value of the track distance, the corresponding moving parameter is not subjected to sub-label setting;
The method comprises the steps that collected videos of all video collecting areas are sent to a storage center, when the video is required to be collected after being received by the storage center, screening is carried out according to moving parameters of a moving main body required to be in real time after screening is completed according to area numbers, and the moving main body with the same moving parameters set as a sub-label is used as a secondary screening object;
The storage center generates a storage intelligent control signal and sends the storage intelligent control signal to the storage intelligent control unit, and after the storage intelligent control unit receives the storage intelligent control signal, the storage intelligent control unit performs storage intelligent control on the collected video of the video collection area, so that the storage efficiency of the collected video is improved, the large storage pressure of the video caused by the increase of the accumulated amount of the collected video is avoided, and the video storage and retrieval efficiency is influenced;
Storing and controlling the acquired video which is subjected to distributed storage, dividing the acquired video into o subframe pictures, wherein o is a natural number larger than 1, and analyzing a static main body in the subframe pictures in the acquired video, wherein the static main body is represented as an object which is not moved or is fixed in the acquired video; acquiring the movement deviation of the position of a static main body in the same proportion picture in the adjacent subframe picture in the acquired video and the duration of the same acquisition region of the movable main body in the adjacent subframe picture in the acquired video, and comparing the movement deviation of the position of the static main body in the same proportion picture in the adjacent subframe picture in the acquired video and the duration of the same acquisition region of the movable main body in the adjacent subframe picture in the acquired video with a position movement deviation threshold value and a duration threshold value respectively:
If the moving deviation of the positions of the static main bodies in the same proportion of pictures in the collected video inner adjacent sub-frame pictures exceeds a position moving deviation threshold value and the duration of the moving main bodies in the same collecting area in the collected video inner adjacent sub-frame pictures exceeds a duration threshold value, judging that the current sub-frame picture is suitable for compression processing, generating a storage control signal and sending the storage control signal to a storage center, and after the storage center receives the storage control signal, compressing the corresponding sub-frame picture, and if the continuous sub-frame pictures are all compressed pictures, selecting according to the displacement floating quantity of the moving main bodies, and if the displacement floating quantity is smaller, preferentially deleting the corresponding sub-frame picture;
If the moving deviation of the position of the static main body in the same proportion picture in the adjacent sub-frame picture in the acquired video does not exceed the position moving deviation threshold value, or the duration of the moving main body in the same acquisition area in the adjacent sub-frame picture in the acquired video does not exceed the duration threshold value, judging that the current sub-frame picture is not suitable for compression processing, generating a storage non-control signal and sending the storage non-control signal to a storage center, and after the storage center receives the storage non-control signal, storing the corresponding sub-frame picture according to the acquired internal memory quantity and simultaneously storing according to the set storage duration threshold value;
Meanwhile, a storage efficiency evaluation signal is generated and sent to a storage efficiency evaluation unit, after the storage efficiency evaluation unit receives the storage efficiency evaluation signal, the storage efficiency of the acquired video is evaluated, and whether the acquired video stored in real time in the current video acquisition area is stored or not is judged to meet the requirement is judged, so that the acquired video is low in storage efficiency, the video storage can not meet the actual demand of taking, storage regulation and control can not be performed in time, and the storage efficiency is continuously reduced when the video storage capacity is increased;
Obtaining the maximum deviation value of the video completing the calling time length in the video calling process of different storage time lengths and the numerical difference between the unmanaged sub-frame picture definition and the actual setting picture definition in the calling video, and comparing the maximum deviation value of the video completing the calling time length in the video calling process of different storage time lengths and the numerical difference between the unmanaged sub-frame picture definition and the actual setting picture definition in the calling video with a time length maximum deviation value threshold value and a definition value difference threshold value respectively:
If the maximum deviation value of the video completing the calling duration exceeds the maximum deviation value threshold of the duration in the video calling process of different storage durations or the numerical difference between the picture definition of the sub-frame without control in the calling video and the actually set picture definition exceeds the definition value difference threshold, judging that the storage efficiency is evaluated abnormal, generating an efficiency evaluation abnormal signal and sending the efficiency evaluation abnormal signal to a storage center, and after receiving the efficiency evaluation abnormal signal, re-controlling the current real-time storage video, and detecting whether the real-time definition meets the requirement;
if the maximum deviation value of the video completing the calling duration in the video calling process of different storage durations does not exceed the maximum deviation value threshold of the duration and the numerical difference between the picture definition of the sub-frame which is not managed in the calling video and the picture definition which is actually set does not exceed the definition numerical difference threshold, judging that the storage efficiency evaluation is normal, generating an efficiency evaluation normal signal and sending the efficiency evaluation normal signal to a storage center;
When the method is used, the distributed storage detection unit stores and detects real-time monitoring videos of the wireless video monitoring system, the coverage area of the wireless video monitoring system is divided into areas according to video monitoring equipment set in the areas, the divided areas are marked as video acquisition areas, the video acquisition areas are provided with a number i which is a natural number larger than 1, the number i is used as a main label of video storage according to the number of the video acquisition areas, and meanwhile distributed storage detection is carried out on the storage videos set with the main label; the feature extraction type storage unit is used for extracting the features of the moving main body of the video acquisition area, setting sub-tags of the acquired video according to the feature extraction, performing intelligent storage control on the acquired video of the video acquisition area by the intelligent storage control unit, and evaluating the storage efficiency of the acquired video by the storage efficiency evaluation unit after the intelligent storage control.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. The intelligent video storage management system suitable for the wireless video monitoring system is characterized by comprising a storage center, wherein the storage center is in communication connection with a distributed storage detection unit, a feature extraction type storage unit, an intelligent storage management and control unit and a storage efficiency evaluation unit;
the distributed storage detection unit is used for carrying out storage detection on real-time monitoring videos of the wireless video monitoring system, dividing the coverage area of the wireless video monitoring system into areas according to video monitoring equipment set in the areas, marking the divided areas as video acquisition areas, setting the video acquisition areas as natural numbers with the numbers i and i being larger than 1, taking the numbers of the video acquisition areas as main labels of video storage, and carrying out distributed storage detection on the stored videos with the main labels;
the feature extraction type storage unit is used for extracting the features of the moving main body of the video acquisition area, setting sub-tags of the acquired video according to the feature extraction, performing intelligent storage control on the acquired video of the video acquisition area by the intelligent storage control unit, and evaluating the storage efficiency of the acquired video by the storage efficiency evaluation unit after the intelligent storage control;
the operation process of the distributed storage detection unit is as follows:
obtaining a moving record delay time length of a moving body corresponding to a moving adjacent video acquisition area at the same time in an acquired video and a maximum difference value of video acquisition delay seconds in an adjacent video acquisition area at a position corresponding to a non-same time in the acquired video, and comparing the moving record delay time length of the moving body corresponding to the moving adjacent video acquisition area at the same time in the acquired video and the maximum difference value of video acquisition delay seconds in the adjacent video acquisition area at the position corresponding to the non-same time in the acquired video with a delay time length threshold and a second maximum difference value threshold respectively;
If the moving record delay time of the moving body corresponding to the moving adjacent video acquisition area at the same moment in the acquired video exceeds a delay time threshold, or the maximum difference value of the video acquisition delay seconds in the adjacent video acquisition area at the position corresponding to the non-same moment in the acquired video exceeds a second maximum difference value threshold, judging that the distributed storage detection of the acquired video is abnormal, generating a distributed storage abnormal signal and sending the distributed storage abnormal signal to a storage center, and after the storage center receives the distributed storage abnormal signal, performing video acquisition management on the video acquisition area;
If the moving record delay time of the moving body corresponding to the moving adjacent video acquisition area at the same time in the acquired video does not exceed the delay time threshold value and the maximum difference value of the video acquisition delay seconds in the adjacent video acquisition area at the position corresponding to the non-same time in the acquired video does not exceed the maximum difference value threshold value of the seconds, judging that the distributed storage detection of the acquired video is normal, generating a distributed storage normal signal and sending the distributed storage normal signal to a storage center;
the operation process of the feature extraction type storage unit is as follows:
The method comprises the steps of monitoring a moving body of an acquired video of a video acquisition area, dividing the acquired video into a plurality of video segments according to a set video storage duration threshold value, and acquiring moving parameters of the moving body of each video segment; acquiring a numerical value excess of any one parameter of the moving parameters of the moving body in the acquired video exceeding a parameter mean value corresponding to the moving parameters and a minimum value of the overlapping track distance in the passing track of each moving body in the acquired video, and comparing the numerical value excess of any one parameter of the moving parameters of the moving body in the acquired video exceeding the parameter mean value corresponding to the moving parameters and the minimum value of the overlapping track distance in the passing track of each moving body in the acquired video with a numerical value excess threshold and a minimum value threshold of the track distance respectively;
if any one of the moving parameters of the moving bodies in the acquired video exceeds the numerical excess of the moving parameter corresponding to the parameter mean value by a numerical excess threshold, or the minimum value of the overlapping track distance in the passing track of each moving body in the acquired video does not exceed the minimum value threshold of the track distance, the corresponding moving parameter is used as a sub-label of the current acquired video; if any one of the moving parameters of the moving bodies in the acquired video exceeds the numerical value excess threshold value of the parameter mean value corresponding to the moving parameter, and the minimum value of the overlapping track distance in the passing track of each moving body in the acquired video exceeds the minimum value threshold value of the track distance, the corresponding moving parameter is not subjected to sub-label setting.
2. The intelligent video storage management system suitable for the wireless video monitoring system according to claim 1, wherein the collected videos of all video collecting areas are sent to a storage center, when the video is required to be collected after being received by the storage center, screening is carried out according to the moving parameters of a moving main body required to be in real time after screening is completed according to the area numbers, and the moving main body with the same moving parameters set as the sub-label is used as a secondary screening object.
3. The intelligent video storage management system for a wireless video monitoring system according to claim 1, wherein the intelligent storage management unit operates as follows:
Storing and controlling the acquired video which is subjected to distributed storage, dividing the acquired video into o subframe pictures, wherein o is a natural number larger than 1, and analyzing a static main body in the subframe pictures in the acquired video, wherein the static main body is represented as an object which is not moved or is fixed in the acquired video; the method comprises the steps of obtaining the moving deviation of the position of a static main body in the same proportion picture in an adjacent subframe picture in an acquired video and the duration of the same acquisition region of the moving main body in the adjacent subframe picture in the acquired video, and comparing the moving deviation of the position of the static main body in the same proportion picture in the adjacent subframe picture in the acquired video and the duration of the same acquisition region of the moving main body in the adjacent subframe picture in the acquired video with a position moving deviation threshold and a duration threshold respectively.
4. The intelligent video storage management system suitable for a wireless video monitoring system according to claim 3, wherein if the movement deviation of the position of a static main body in the same proportion picture in the adjacent subframe picture in the acquired video exceeds a position movement deviation threshold value, and the duration of the moving main body in the same acquisition area in the adjacent subframe picture in the acquired video exceeds a duration threshold value, the current subframe picture is determined to be suitable for compression processing, a storage control signal is generated, and the storage control signal is sent to a storage center;
If the moving deviation of the position of the static main body in the same proportion picture in the adjacent sub-frame picture in the acquired video does not exceed the position moving deviation threshold value, or the duration of the moving main body in the same acquisition area in the adjacent sub-frame picture in the acquired video does not exceed the duration threshold value, judging that the current sub-frame picture is not suitable for compression processing, generating a storage non-control signal and sending the storage non-control signal to a storage center.
5. The intelligent video storage management system for a wireless video monitoring system according to claim 1, wherein the storage efficiency evaluation unit operates as follows:
Obtaining the maximum deviation value of the video completing the calling time length in the video calling process of different storage time lengths and the numerical difference between the unmanaged sub-frame picture definition and the actual setting picture definition in the calling video, and comparing the maximum deviation value of the video completing the calling time length in the video calling process of different storage time lengths and the numerical difference between the unmanaged sub-frame picture definition and the actual setting picture definition in the calling video with a time length maximum deviation value threshold value and a definition value difference threshold value respectively:
if the maximum deviation value of the video completing the calling duration exceeds the maximum deviation value threshold of the duration in the video calling process of different storage durations or the numerical difference between the picture definition of the sub-frame which is not managed in the calling video and the picture definition which is actually set exceeds the definition value difference threshold, judging that the storage efficiency is evaluated abnormal, generating an efficiency evaluation abnormal signal and sending the efficiency evaluation abnormal signal to a storage center;
if the maximum deviation value of the video completing the calling duration in the video calling process of different storage durations does not exceed the maximum deviation value threshold of the duration and the numerical difference between the picture definition of the sub-frame which is not controlled in the calling video and the picture definition which is actually set does not exceed the numerical difference threshold of the definition, judging that the storage efficiency evaluation is normal, generating an efficiency evaluation normal signal and sending the efficiency evaluation normal signal to a storage center.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108711162A (en) * | 2018-06-06 | 2018-10-26 | 合肥信亚达智能科技有限公司 | A kind of intelligence is personal to identify monitoring optimization tracking transmission method and system |
| WO2021208275A1 (en) * | 2020-04-12 | 2021-10-21 | 南京理工大学 | Traffic video background modelling method and system |
| WO2023231082A1 (en) * | 2022-05-30 | 2023-12-07 | 广州工商学院 | Public video surveillance system based on big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108711162A (en) * | 2018-06-06 | 2018-10-26 | 合肥信亚达智能科技有限公司 | A kind of intelligence is personal to identify monitoring optimization tracking transmission method and system |
| WO2021208275A1 (en) * | 2020-04-12 | 2021-10-21 | 南京理工大学 | Traffic video background modelling method and system |
| WO2023231082A1 (en) * | 2022-05-30 | 2023-12-07 | 广州工商学院 | Public video surveillance system based on big data |
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