CN104202575A - Video monitoring and processing method and system - Google Patents
Video monitoring and processing method and system Download PDFInfo
- Publication number
- CN104202575A CN104202575A CN201410475584.8A CN201410475584A CN104202575A CN 104202575 A CN104202575 A CN 104202575A CN 201410475584 A CN201410475584 A CN 201410475584A CN 104202575 A CN104202575 A CN 104202575A
- Authority
- CN
- China
- Prior art keywords
- video
- unit
- time
- event
- target detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 55
- 238000003672 processing method Methods 0.000 title claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 100
- 230000015654 memory Effects 0.000 claims description 34
- 238000010223 real-time analysis Methods 0.000 claims description 11
- 230000004044 response Effects 0.000 claims description 11
- 238000013500 data storage Methods 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 12
- 238000005259 measurement Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 230000036632 reaction speed Effects 0.000 description 1
Landscapes
- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses a video monitoring and processing method and system. The method includes: responding to a detection instruction, including target detection events, issued by a user, invoking a pre-stored detection algorithm corresponding to the target detection events, respectively detecting acquired multiple channels of video, and if detecting that one channel of video includes the target detection events, uploading the channel of video to a client. By the method, different detection tasks issued by the user can be detected in a targeted mode, and the user is notified when the target events are detected, so that intelligent detection is realized, consumed labor is saved greatly, and detection accuracy is higher than that of manual detection.
Description
Technical field
The application relates to technical field of video monitoring, more particularly, relates to a kind of video monitoring processing method and system.
Background technology
Video monitoring system has been applied to the every aspect of daily life widely, and it is in having met the requirement of people's video monitorings, and a large amount of video datas has also brought very large challenge to the reaction speed of monitoring in real time and the validity of data utilization.
There is many drawbacks in existing video monitoring system: the camera of magnanimity needs a large amount of display screens to show in actual motion, and a corresponding display screen needs at least one monitor staff to carry out real-time video is monitored, this can waste a large amount of human resources undoubtedly, and along with monitor staff's operating time passes, can decline gradually to the attentiveness of video monitoring, probably cause monitoring leak.And existing video monitoring is merely able to reply video recording, storage and the situation such as evidence obtaining afterwards, cannot accomplish automatic alarm, intelligent monitoring.
Summary of the invention
In view of this, the application provides a kind of video monitoring processing method and system, thereby needs manual monitoring video cause the waste of human resources and monitor leak for solving existing video monitoring system, and the problem that cannot accomplish automatic alarm, intelligent monitoring.
To achieve these goals, the existing scheme proposing is as follows:
A kind of video monitoring processing method, comprising:
The detection instruction that comprises target detection event that response user issues, calls the pre-stored detection algorithm corresponding with described target detection event, and the multi-channel video gathering is detected respectively;
Detecting that while comprising described target detection event in the video of a certain road, Jiang Gai road video is uploaded to client.
Optionally, in the time that described target detection event is come to visit for leader, the detection instruction that comprises target detection event that described response user issues, calls the pre-stored detection algorithm corresponding with described target detection event, the multi-channel video gathering is detected be respectively:
What response user issued comprises the visiting detection instruction of leader, calls face recognition algorithms, and taking face's picture of the leader that prestores as object of reference, the multi-channel video gathering is carried out respectively to recognition of face.
Optionally, also comprise:
The multi-channel video of collection is carried out to buffer memory;
The described multi-channel video gathering is detected is respectively:
Read the multi-channel video of buffer memory and detect.
Optionally, also comprise:
Every Preset Time, the multi-channel video of buffer memory is migrated in storage system;
Corresponding relation between the memory address of the acquisition time Yu Mei road video of setting up every road video in described storage system, and this corresponding relation is stored as metadata.
Optionally, also comprise:
Receive the statistics instruction that user issues, described statistics instruction is the statistics number of times that the interior event to be measured of section occurs sometime;
Inquire about described metadata, search the memory address of the video corresponding with the time period that will add up, and read corresponding video;
The video reading is detected, add up the number of times that described event to be measured occurs.
A kind of video monitoring treatment system, comprising:
Several video acquisition unit, for gathering each road monitor video;
Command reception unit, the detection instruction that comprises detection event issuing for receiving user;
Real-time analysis unit, for calling the pre-stored detection algorithm corresponding with described target detection event, detects respectively the multi-channel video gathering;
Video uploading unit, in the time that described real-time analysis unit inspection comprises described target detection event to a certain road video, Jiang Gai road video is uploaded to client.
Optionally, also comprise:
Real-time storage unit, for carrying out buffer memory to the monitor video of described video acquisition unit collection;
Described real-time analysis unit, specifically for calling the pre-stored detection algorithm corresponding with described target detection event, detects the monitor video of described real-time storage unit buffer memory.
Optionally, also comprise: storage system unit, described real-time storage unit, for every Preset Time, migrates to the multi-channel video of buffer memory in described storage system unit.
Optionally, described storage system unit comprises:
Video Data Storage unit, uploads Ge road monitor video content for storing described real-time storage unit;
Corresponding relation is set up unit, the corresponding relation for the acquisition time Yu Mei road video of setting up every road video between the memory address of described Video Data Storage unit;
Metadata storage unit, stores as metadata for described corresponding relation is set up to the corresponding relation of setting up unit.
Optionally, the statistics instruction that described command reception unit also issues for receiving user, described statistics instruction is the statistics number of times that the interior event to be measured of section occurs sometime;
Described video monitoring treatment system also comprises:
Query unit, for inquiring about described metadata storage unit, searches the memory address of the video corresponding with the time period that will add up in described statistics instruction, and reads corresponding video;
Statistic unit, detects for the video that described query unit is read, and adds up the number of times that described event to be measured occurs.
Can find out from above-mentioned technical scheme, the video monitoring processing method that the embodiment of the present application provides, the detection instruction that comprises target detection event issuing by response user, call the pre-stored detection algorithm corresponding with described target detection event, the multi-channel video gathering is detected respectively, detecting that while comprising described target detection event in the video of a certain road, Jiang Gai road video is uploaded to client.The application's method, the different Detection tasks that can issue for user, detect targetedly, and in the time object event being detected, notify user, and realize Intelligent Measurement, save greatly manpower consumption, and than manual detection, it is higher that it detects accuracy.
Brief description of the drawings
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only the application's embodiment, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, other accompanying drawing can also be provided according to the accompanying drawing providing.
Fig. 1 is the disclosed a kind of video monitoring process flow figure of the embodiment of the present application;
Fig. 2 is the disclosed another kind of video monitoring process flow figure of the embodiment of the present application;
Fig. 3 is the structural representation of the disclosed a kind of video monitoring treatment system of the embodiment of the present application;
Fig. 4 is the structural representation of the disclosed another kind of video monitoring treatment system of the embodiment of the present application;
Fig. 5 is the structural representation of the disclosed another kind of video monitoring treatment system of the embodiment of the present application;
Fig. 6 is a kind of structural representation of the disclosed storage system of the embodiment of the present application unit;
Fig. 7 is the structural representation of the disclosed another kind of video monitoring treatment system of the embodiment of the present application.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present application, the technical scheme in the embodiment of the present application is clearly and completely described, obviously, described embodiment is only some embodiments of the present application, instead of whole embodiment.Based on the embodiment in the application, those of ordinary skill in the art are not making the every other embodiment obtaining under creative work prerequisite, all belong to the scope of the application's protection.
Embodiment mono-
Referring to Fig. 1, Fig. 1 is the disclosed a kind of video monitoring process flow figure of the embodiment of the present application.
As shown in Figure 1, the method comprises:
Step 100: the detection instruction that comprises target detection event that response user issues, call the pre-stored detection algorithm corresponding with described target detection event, the multi-channel video gathering is detected respectively;
Wherein, the difference that user can be according to demand and issue different detection instructions, this detection instruction can be regarded a kind of Detection task as, and it has comprised the target detection event that user will detect.Target detection event can be multiple, for example: leader is visiting, intrusion detection, legacy detect, illegal road occupying etc.Which kind of event need to be seen service condition and determine specifically.
It should be noted that, the corresponding relation between different target detection event that we are pre-stored and corresponding detection algorithm, this corresponding relation can be to store with the form of form.Corresponding each target detection event, has corresponding with it detection algorithm.For example, visiting for leader for target detection event, while now detection, need to use face recognition algorithms.Wherein, various detection algorithms can, with reference to existing detection algorithm, not limit herein.
Step 110: detecting that while comprising described target detection event in the video of a certain road, Jiang Gai road video is uploaded to client.
Particularly, we can select the monitor video to not going the same way to detect successively, also can be that Dui Ge road monitor video detects simultaneously, if while detecting successively, there are two kinds of situations: one is to detect in the video of a certain road to comprise target detection event, now can stop the detection to monitor video, directly Jiang Gai road video is uploaded to client, another kind of situation is to proceed to detect, Dui Ge road video is uploaded to client together by all roads monitor video that has target detection event after detecting.
The video monitoring processing method that the embodiment of the present application provides, the detection instruction that comprises target detection event issuing by response user, call the pre-stored detection algorithm corresponding with described target detection event, the multi-channel video gathering is detected respectively, detecting that while comprising described target detection event in the video of a certain road, Jiang Gai road video is uploaded to client.The application's method, the different Detection tasks that can issue for user, detect targetedly, and in the time object event being detected, notify user, and realize Intelligent Measurement, save greatly manpower consumption, and than manual detection, it is higher that it detects accuracy.
For clearer expression the application's scheme, come to visit taking target detection event as leader as example below, the application's video monitoring processing method is set forth:
The detection instruction that response user issues, the Detection task of this detection instruction instruction is the visiting detection of leader, call face recognition algorithms, and taking face's picture of the leader that prestores as object of reference, the multi-channel video gathering is carried out respectively to recognition of face detection, and wherein face recognition algorithms can be with reference to existing algorithm.Detecting while having there is leader to be detected in the video of a certain road, can upload to client by Jiang Gai road video, notify user to carry out reception work.
Embodiment bis-
With reference to Fig. 2, Fig. 2 is the disclosed another kind of video monitoring process flow figure of the embodiment of the present application.
Known in conjunction with Fig. 1 and Fig. 2, the present embodiment has further increased step 200: the multi-channel video of collection is carried out to buffer memory.On this basis, step 100 in a upper embodiment can realize according to the mode of following step 210, step 210: the detection instruction that comprises target detection event that response user issues, call the pre-stored detection algorithm corresponding with described target detection event, read the multi-channel video of buffer memory and detect.
Wherein, the present embodiment is advanced Real-time Collection Ge road video row cache processing, receiving after the detection instruction that user issues, reads monitor video from buffer memory, detects.
Further, for the video of buffer memory, we can, every Preset Time, migrate to the multi-channel video of buffer memory in storage system.Here, Preset Time can be the time of one day or other setting.After migration, will remove spatial cache.
Storage mode for monitor video in storage system, we also set.
First, the corresponding relation between the memory address of the acquisition time Yu Mei road video that we set up Liao Mei road monitor video in storage system, and this corresponding relation is stored separately as metadata.We can mark off an independently space in storage system, for storing above-mentioned metadata.Corresponding video content is stored in other space of storage system.
By this set, in the time that needs are inquired about a certain section of video, we only need to know the acquisition time of this video, then go to search in metadata the memory address to all videos that should the time period, then read corresponding video content.Like this, greatly shorten the time of inquiry video, improved recall precision.
Embodiment tri-
On the basis of above-described embodiment, in the present embodiment, further video monitoring processing method is expanded, it can also receive the statistics instruction that user issues, and this statistics instruction is the statistics number of times that the interior event to be measured of section occurs sometime, for example, add up the vehicle flowrate of 1 this day of July.Receiving after statistics instruction, query metadata, finds the memory address of the video corresponding with the time period that will add up, and goes this memory address to read corresponding video content, then the video content reading is detected, add up the number of times that in this video, event to be measured occurs altogether.
Optionally, the application's method can also be compressed processing to the video of storage system inside, further reduces its memory space.
Embodiment tetra-
The video monitoring treatment system below the embodiment of the present application being provided is described, and video monitoring treatment system described below can mutual corresponding reference with above-described video monitoring processing method.
Referring to Fig. 3, Fig. 3 is the disclosed a kind of video monitoring treatment system structural representation of the embodiment of the present application.
As shown in Figure 3, this video monitoring treatment system comprises:
Several video acquisition unit 31, for gathering each road monitor video;
Command reception unit 32, the detection instruction that comprises detection event issuing for receiving user;
Real-time analysis unit 33, for calling the pre-stored detection algorithm corresponding with described target detection event, detects respectively the multi-channel video gathering;
Wherein, Many Detection can be stored in 33 inside, real-time analysis unit, can certainly separate, stored in a unit, when use, real-time analysis unit 33 goes to read again.
Video uploading unit 34, in the time that described real-time analysis unit inspection comprises described target detection event to a certain road video, Jiang Gai road video is uploaded to client.
Optionally, this enforcement also discloses the optional structure of another kind of video monitoring treatment system, and as shown in Figure 4, Fig. 4 is the structural representation of the disclosed another kind of video monitoring treatment system of the embodiment of the present application.Known in conjunction with Fig. 3 and Fig. 4, video monitoring treatment system further comprises: real-time storage unit 41, carry out buffer memory for the monitor video that described video acquisition unit 31 is gathered.Described real-time analysis unit 33, specifically for calling the pre-stored detection algorithm corresponding with described target detection event, detects the monitor video of described real-time storage unit 41 buffer memorys.
Optionally, this enforcement also discloses the optional structure of another kind of video monitoring treatment system, and as shown in Figure 5, Fig. 5 is the structural representation of the disclosed another kind of video monitoring treatment system of the embodiment of the present application.Known in conjunction with Fig. 4 and Fig. 5, video monitoring treatment system further comprises: storage system unit 51.The monitor video that this storage system unit 51 is uploaded every Preset Time for receiving real-time storage unit 41.
Optionally, the structure of storage system unit 51 can be with reference to shown in Fig. 6, and Fig. 6 discloses the optional structure of one of storage system unit, and it comprises:
Video Data Storage unit 61, uploads Ge road monitor video content for storing described real-time storage unit 41;
Corresponding relation is set up unit 62, the corresponding relation for the acquisition time Yu Mei road video of setting up every road video between the memory address of described Video Data Storage unit 61;
Metadata storage unit 63, stores as metadata for described corresponding relation is set up to the corresponding relation of setting up unit 62.
Optionally, the statistics instruction that described command reception unit 32 also issues for receiving user, this statistics instruction is the statistics number of times that the interior event to be measured of section occurs sometime.As the vehicle flowrate of adding up July 1.On this basis, shown in Figure 7, the application's video monitoring treatment system can also comprise:
Query unit 71, for inquiring about described metadata storage unit 63, searches the memory address of the video corresponding with the time period that will add up in described statistics instruction, and reads corresponding video;
Statistic unit 72, detects for the video that described query unit 71 is read, and adds up the number of times that described event to be measured occurs.
After statistics, can select statistics to be uploaded to client by video uploading unit 34.
Finally, also it should be noted that, in this article, relational terms such as the first and second grades is only used for an entity or operation to separate with another entity or operating space, and not necessarily requires or imply and between these entities or operation, have the relation of any this reality or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby the process, method, article or the equipment that make to comprise a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or be also included as the intrinsic key element of this process, method, article or equipment.The in the situation that of more restrictions not, the key element being limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises described key element and also have other identical element.
In this specification, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is and the difference of other embodiment, between each embodiment identical similar part mutually referring to.
To the above-mentioned explanation of the disclosed embodiments, make professional and technical personnel in the field can realize or use the application.To be apparent for those skilled in the art to the multiple amendment of these embodiment, General Principle as defined herein can, in the case of not departing from the application's spirit or scope, realize in other embodiments.Therefore, the application will can not be restricted to these embodiment shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (10)
1. a video monitoring processing method, is characterized in that, comprising:
The detection instruction that comprises target detection event that response user issues, calls the pre-stored detection algorithm corresponding with described target detection event, and the multi-channel video gathering is detected respectively;
Detecting that while comprising described target detection event in the video of a certain road, Jiang Gai road video is uploaded to client.
2. video monitoring processing method according to claim 1, it is characterized in that, in the time that described target detection event is come to visit for leader, the detection instruction that comprises target detection event that described response user issues, call the pre-stored detection algorithm corresponding with described target detection event, the multi-channel video gathering detected respectively and is:
What response user issued comprises the visiting detection instruction of leader, calls face recognition algorithms, and taking face's picture of the leader that prestores as object of reference, the multi-channel video gathering is carried out respectively to recognition of face.
3. video monitoring processing method according to claim 1, is characterized in that, also comprises:
The multi-channel video of collection is carried out to buffer memory;
The described multi-channel video gathering is detected is respectively:
Read the multi-channel video of buffer memory and detect.
4. video monitoring processing method according to claim 3, is characterized in that, also comprises:
Every Preset Time, the multi-channel video of buffer memory is migrated in storage system;
Corresponding relation between the memory address of the acquisition time Yu Mei road video of setting up every road video in described storage system, and this corresponding relation is stored as metadata.
5. video monitoring processing method according to claim 4, is characterized in that, also comprises:
Receive the statistics instruction that user issues, described statistics instruction is the statistics number of times that the interior event to be measured of section occurs sometime;
Inquire about described metadata, search the memory address of the video corresponding with the time period that will add up, and read corresponding video;
The video reading is detected, add up the number of times that described event to be measured occurs.
6. a video monitoring treatment system, is characterized in that, comprising:
Several video acquisition unit, for gathering each road monitor video;
Command reception unit, the detection instruction that comprises detection event issuing for receiving user;
Real-time analysis unit, for calling the pre-stored detection algorithm corresponding with described target detection event, detects respectively the multi-channel video gathering;
Video uploading unit, in the time that described real-time analysis unit inspection comprises described target detection event to a certain road video, Jiang Gai road video is uploaded to client.
7. video monitoring treatment system according to claim 6, is characterized in that, also comprises:
Real-time storage unit, for carrying out buffer memory to the monitor video of described video acquisition unit collection;
Described real-time analysis unit, specifically for calling the pre-stored detection algorithm corresponding with described target detection event, detects the monitor video of described real-time storage unit buffer memory.
8. video monitoring treatment system according to claim 7, is characterized in that, also comprises: storage system unit, described real-time storage unit, for every Preset Time, migrates to the multi-channel video of buffer memory in described storage system unit.
9. video monitoring treatment system according to claim 8, is characterized in that, described storage system unit comprises:
Video Data Storage unit, uploads Ge road monitor video content for storing described real-time storage unit;
Corresponding relation is set up unit, the corresponding relation for the acquisition time Yu Mei road video of setting up every road video between the memory address of described Video Data Storage unit;
Metadata storage unit, stores as metadata for described corresponding relation is set up to the corresponding relation of setting up unit.
10. video monitoring treatment system according to claim 9, is characterized in that, the statistics instruction that described command reception unit also issues for receiving user, and described statistics instruction is the statistics number of times that the interior event to be measured of section occurs sometime;
Described video monitoring treatment system also comprises:
Query unit, for inquiring about described metadata storage unit, searches the memory address of the video corresponding with the time period that will add up in described statistics instruction, and reads corresponding video;
Statistic unit, detects for the video that described query unit is read, and adds up the number of times that described event to be measured occurs.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410475584.8A CN104202575A (en) | 2014-09-17 | 2014-09-17 | Video monitoring and processing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410475584.8A CN104202575A (en) | 2014-09-17 | 2014-09-17 | Video monitoring and processing method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104202575A true CN104202575A (en) | 2014-12-10 |
Family
ID=52087795
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410475584.8A Pending CN104202575A (en) | 2014-09-17 | 2014-09-17 | Video monitoring and processing method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104202575A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105208337A (en) * | 2015-09-22 | 2015-12-30 | 广东威创视讯科技股份有限公司 | Image processing method and device based on joined screen |
| CN109598731A (en) * | 2018-12-07 | 2019-04-09 | 北京中交睿达科技有限公司 | A kind of economical road visiting method |
| CN110896459A (en) * | 2018-09-13 | 2020-03-20 | 广州弘度信息科技有限公司 | Method for freely customizing detection task based on video stream |
| CN111866444A (en) * | 2019-04-29 | 2020-10-30 | 杭州海康威视数字技术股份有限公司 | Video data storage method and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070206834A1 (en) * | 2006-03-06 | 2007-09-06 | Mitsutoshi Shinkai | Search system, image-capturing apparatus, data storage apparatus, information processing apparatus, captured-image processing method, information processing method, and program |
| CN102291574A (en) * | 2011-08-31 | 2011-12-21 | 山东轻工业学院 | Complicated scene target movement tracking system based on embedded technique and light transmission and monitoring method thereof |
| CN102572388A (en) * | 2011-10-31 | 2012-07-11 | 东莞市中控电子技术有限公司 | Face-recognition-based network video monitoring device and monitoring recognition method |
-
2014
- 2014-09-17 CN CN201410475584.8A patent/CN104202575A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070206834A1 (en) * | 2006-03-06 | 2007-09-06 | Mitsutoshi Shinkai | Search system, image-capturing apparatus, data storage apparatus, information processing apparatus, captured-image processing method, information processing method, and program |
| CN102291574A (en) * | 2011-08-31 | 2011-12-21 | 山东轻工业学院 | Complicated scene target movement tracking system based on embedded technique and light transmission and monitoring method thereof |
| CN102572388A (en) * | 2011-10-31 | 2012-07-11 | 东莞市中控电子技术有限公司 | Face-recognition-based network video monitoring device and monitoring recognition method |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105208337A (en) * | 2015-09-22 | 2015-12-30 | 广东威创视讯科技股份有限公司 | Image processing method and device based on joined screen |
| CN105208337B (en) * | 2015-09-22 | 2019-04-16 | 广东威创视讯科技股份有限公司 | Image processing method and device based on combination |
| CN110896459A (en) * | 2018-09-13 | 2020-03-20 | 广州弘度信息科技有限公司 | Method for freely customizing detection task based on video stream |
| CN109598731A (en) * | 2018-12-07 | 2019-04-09 | 北京中交睿达科技有限公司 | A kind of economical road visiting method |
| CN111866444A (en) * | 2019-04-29 | 2020-10-30 | 杭州海康威视数字技术股份有限公司 | Video data storage method and device |
| WO2020220951A1 (en) * | 2019-04-29 | 2020-11-05 | 杭州海康威视数字技术股份有限公司 | Video recording data storage method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7264508B2 (en) | Process digitization system and method | |
| AR105191A1 (en) | SYSTEMS AND METHODS FOR IMAGE CAPTURE AND AGRICULTURAL FIELD ANALYSIS | |
| Peiman | Pre-classification and post-classification change-detection techniques to monitor land-cover and land-use change using multi-temporal Landsat imagery: a case study on Pisa Province in Italy | |
| CN104202575A (en) | Video monitoring and processing method and system | |
| CN112684133B (en) | Water quality monitoring and early warning method and system based on big data platform and storage medium | |
| CN102306304A (en) | Face occluder identification method and device | |
| CN104967875A (en) | Method and device for controlling monitoring video checking authority | |
| KR101412022B1 (en) | Method, apparatus and computer readable recording medium of mapping a cctv information based on a spacial data automatically | |
| US11935378B2 (en) | Intrusion detection methods and devices | |
| US10867518B2 (en) | Method and system for identifying location of a parked vehicle | |
| US10037504B2 (en) | Methods for determining manufacturing waste to optimize productivity and devices thereof | |
| CN111274934A (en) | Implementation method and system for intelligently monitoring forklift operation track in warehousing management | |
| US20200262645A1 (en) | Systems and Processes for Space Management of Three Dimensional Containers | |
| US20230007831A1 (en) | Method for warehouse storage-location monitoring, computer device, and non-volatile storage medium | |
| CN106094614B (en) | A kind of grain information monitoring remote monitoring system Internet-based | |
| JP2015204788A (en) | Cultivation assisting method, cultivation assisting apparatus, and computer program | |
| CN111127066A (en) | Mining application method and device based on user information | |
| US20210326543A1 (en) | Animal motion and temperature monitoring | |
| CN205375125U (en) | Monitoring system for grain depot stores up grain quantity | |
| KR20190074210A (en) | Method, Device and system for detecting a loitering event | |
| CN114117097A (en) | Article management method, related apparatus, medium, and program product | |
| CN204614016U (en) | A kind of product of rubber and plastic WMS | |
| CN106507046B (en) | Alarm information generation method and device | |
| CN111814764B (en) | Remain thing determining system | |
| KR101984070B1 (en) | Stereo image based intelligent vibration monitoring method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20141210 |