CN108337486A - A kind of device and method of the video analysis of the algorithm configuration based on scene - Google Patents
A kind of device and method of the video analysis of the algorithm configuration based on scene Download PDFInfo
- Publication number
- CN108337486A CN108337486A CN201810355054.8A CN201810355054A CN108337486A CN 108337486 A CN108337486 A CN 108337486A CN 201810355054 A CN201810355054 A CN 201810355054A CN 108337486 A CN108337486 A CN 108337486A
- Authority
- CN
- China
- Prior art keywords
- algorithm
- scene
- video
- equipment
- type
- 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
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
Abstract
The invention discloses a kind of device and methods of the video analysis of the algorithm configuration based on scene, including:Self-defined scene module, for obtaining scene information, the scene information includes analysis target, the data volume of the analysis target and the parameter for influencing video equipment, and the number amount and type of the video equipment are determined according to the scene information;Device management module, the equipment application additional information of Sample video sequence and the video equipment for obtaining the analysis target;Algorithm configuration module, for determining optimal algorithm corresponding with the scene according to the number amount and type, the Sample video sequence and the equipment application additional information of the video equipment.As it can be seen that the embodiment of the present invention can be configured according to current scene combination algorithm carries out video intelligent analysis.
Description
Technical field
The present invention relates to Video Analysis Technology fields, more particularly to a kind of video analysis of the algorithm configuration based on scene
Device and method.
Background technology
The construction of smart city be unable to do without the every aspect of urban construction, and the fields such as medical treatment, traffic, environmental protection, security protection need
Wisdom is accelerated to develop with various technologies based on artificial intelligence, and video intelligent analysis is wherein indispensable composition portion
Point.
When existing Video Analysis Technology is used for video surveillance program, need to combine scene to the calculation in video analysis equipment
Method is configured, and specifically, configuration personnel are attached by network (public network or LAN) with video analysis equipment, are used
Client software is logined in video analysis equipment;Then configuration personnel match video analysis equipment progress algorithm by client
It sets.
Inventor in the research process of the prior art to having found, since the algorithm configuration personnel of profession are limited, many situations
Under be all non-professional configuration personnel to be configured to algorithm, this make the algorithm in video analysis equipment in some cases without
Method plays optimal performance.In addition it when the function in certain scenes cannot be satisfied user demand, needs to carry out upgrading to algorithm to match
When setting, non-professional configuration personnel can not often complete, it is necessary to which professional algorithm development personnel complete to scene, the situation
Under deployment cost will be very big.
Invention content
In order to solve the above technical problems, an embodiment of the present invention provides a kind of video analysis of the algorithm configuration based on scene
Device and method, to solve problems of the prior art, technical solution is as follows:
A kind of algorithm configuration device based on scene is applied to video analytics server, including:
Self-defined scene module, for obtaining scene information, the scene information includes analysis target, the analysis target
Data volume and influence the parameter of video equipment, and determine according to the scene information number amount and type of the video equipment;
The equipment of device management module, Sample video sequence and the video equipment for obtaining the analysis target is answered
Use additional information;
Algorithm configuration module, for according to the number amount and type of the video equipment, the Sample video sequence and described
Equipment application additional information determines optimal algorithm corresponding with the scene.
Preferably, the algorithm configuration module, including:
Algorithm configuration submodule, for by algorithm resource pool, number amount and type, the sample with the video equipment
Video sequence and the algorithm of equipment application additional information binding are as optimal algorithm corresponding with the scene.
Preferably, further include:
Judgment module, for judge in the algorithm resource pool whether to have with the number amount and type of the video equipment,
The algorithm of the Sample video sequence and equipment application additional information binding;
Correspondingly, the algorithm configuration submodule is specifically used for:
When the judgment module determines in algorithm resource pool with the number amount and type with the video equipment, the sample
When video sequence and the algorithm of equipment application additional information binding, by the resource pool by algorithm, set with the video
The algorithm of standby number amount and type, the Sample video sequence and equipment application additional information binding as with the scene
Corresponding optimal algorithm.
Preferably, further include:
Task scheduling and problem evaluation module, for obtaining the journal file in the video analytics server, and according to
The journal file determines the module of existing mistake during algorithm configuration.
Preferably, when the scene is safety guarantee scene, further include:
Warning module, for when the behavior for analyzing target does not meet preset requirement, being alarmed by preset alarm mode.
Preferably, the preset alarm mode includes:
It is flickered by the first preset frequency by LED light, and/or, send out the sound of the second preset frequency.
A kind of algorithm configuration method based on scene is applied to video analytics server, including:
Acquisition scene information, the scene information include analysis target, the data volume and influence video of the analysis target
The parameter of equipment, and determine according to the scene information number amount and type of the video equipment;
Obtain the equipment application additional information of the Sample video sequence and the video equipment of the analysis target;
It is true according to the number amount and type of the video equipment, the Sample video sequence and the equipment application additional information
Fixed optimal algorithm corresponding with the scene.
Preferably, attached according to the number amount and type of the video equipment, the Sample video sequence and the equipment application
Information is added to determine optimal algorithm corresponding with the scene, including:
By in algorithm resource pool, number amount and type, the Sample video sequence and the equipment with the video equipment
Using the algorithm of additional information binding as optimal algorithm corresponding with the scene.
Preferably, further include:
Whether there is number amount and type, the Sample video sequence with the video equipment in the disconnected algorithm resource pool
With the algorithm of equipment application additional information binding;
Correspondingly, attached according to the number amount and type of the video equipment, the Sample video sequence and the equipment application
Add information to determine optimal algorithm corresponding with the scene, specifically includes:
When determining there are number amount and type, the Sample video sequence and institute with the video equipment in algorithm resource pool
When stating the algorithm of equipment application additional information binding, by the resource pool by algorithm, quantity and class with the video equipment
The algorithm of type, the Sample video sequence and equipment application additional information binding is as optimal calculation corresponding with the scene
Method.
Preferably, when the scene is safety guarantee scene, further include:
When the behavior for analyzing target does not meet preset requirement, alarmed by preset alarm mode.
Scheme provided by the invention, including self-defined scene module, device management module and algorithm configuration module, it is self-defined
Scene module is used to obtain the Sample video sequence of analysis target and the video for obtaining scene information, device management module
The equipment application additional information of equipment, algorithm configuration module is for the number amount and type according to the video equipment, the sample
Video sequence and the equipment application additional information determine optimal algorithm corresponding with the scene.As it can be seen that the embodiment of the present invention
It can be configured according to current scene combination algorithm and carry out video intelligent analysis.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without having to pay creative labor, may be used also for those of ordinary skill in the art
With obtain other attached drawings according to these attached drawings.
A kind of one kind of the device of the video analysis for algorithm configuration based on scene that Fig. 1 is provided by the embodiment of the present invention
Structural schematic diagram;
A kind of another kind of the video analysis for algorithm configuration device based on scene that Fig. 2 is provided by the embodiment of the present invention
Structural schematic diagram;
A kind of a kind of stream of the video analysis method for algorithm configuration based on scene that Fig. 3 is provided by the embodiment of the present invention
Journey schematic diagram;
A kind of another kind of the video analysis method for algorithm configuration based on scene that Fig. 4 is provided by the embodiment of the present invention
Flow diagram.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this
Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts
Example is applied, shall fall within the protection scope of the present invention.
Referring to Fig. 1, Fig. 1 is a kind of dress of the video analysis of the algorithm configuration based on scene provided in an embodiment of the present invention
A kind of structural schematic diagram set, the device include:
Self-defined scene module 110, for obtaining scene information, scene information includes analysis target, analyzes the number of target
According to measuring and influence the parameter of video equipment, and determine according to scene information the number amount and type of video equipment.
Self-defined scene module is mainly responsible for the definition and maintenance of scene, and the source of scene is broadly divided into two parts.First
Part is the picture captured in video flowing, is obtained from existing video resource;Second part is Scenario Design figure, because of part
Scene may not have video resource, so needing to obtain scene information from the design drawing of scene.
Self-defined scene module can capture a frame picture to define scene, by scene information from Sample video
It analyzes to select the number amount and type of video equipment.
Wherein, scene information includes analysis target, the data volume of the analysis target and the parameter for influencing video equipment, and
The number amount and type of the video equipment are determined according to the scene information.
Wherein, the quantity that video equipment can be determined according to the data volume of analysis target, regards according to analysis target and influence
The parameter of frequency equipment can determine the type of video equipment, the type of video equipment can specifically include the model of video equipment,
Purposes such as clarity, anti-interference etc..
In practical application, analysis target may include the analysis of the liquid and solid particle of the blowdown of environmental protection;Influence video
The parameter of equipment may include the factors such as illumination.
The equipment application of device management module 120, Sample video sequence and video equipment for obtaining analysis target is attached
Add information.
Device management module is mainly responsible for the Sample video sequence and equipment application additional information for obtaining video equipment.
Wherein, the Sample video sequence of video equipment be comprising with analysis the relevant video of target, such as when analysis target be
When sewage, including the video of sewage is Sample video sequence.
Equipment application additional information is the questionnaire of video equipment, and under different scenes, the investigation of same video equipment is asked
Volume is different.
Algorithm configuration module 130, for attached according to the number amount and type, Sample video sequence and equipment application of video equipment
Information is added to determine optimal algorithm corresponding with scene.
In actual implementation, algorithm configuration module, can also be in algorithm in addition to can be realized in video analytics server
It is realized in configuration server.Specifically, algorithm configuration server is according to the scene information and equipment pipe in self-defined scene module
Mould equipment application additional information in the block, Sample video sequence are managed, scene is analyzed, is obtained from algorithm resource pool best
Algorithm assembly config set.
It should be noted that when there is no the algorithm suitable for current scene in algorithm resource pool, will be unable to obtain optimal calculation
Method needs to submit to professional algorithm configuration Shi Jinhang processing at this time.Best configuration set of algorithms is sent to equipment management mould later
Block carries out algorithm addition and update to equipment.
Scheme provided in an embodiment of the present invention, including self-defined scene module, device management module and algorithm configuration module,
Self-defined scene module is used to obtain Sample video sequence and the institute of analysis target for obtaining scene information, device management module
The equipment application additional information of video equipment is stated, algorithm configuration module is for the number amount and type according to the video equipment, institute
It states Sample video sequence and the equipment application additional information determines optimal algorithm corresponding with the scene.As it can be seen that of the invention
Embodiment can configure according to current scene combination algorithm and carry out video intelligent analysis.
Referring to Fig. 2, Fig. 2 is a kind of dress of the video analysis of the algorithm configuration based on scene provided in an embodiment of the present invention
Another structural schematic diagram set, the device include:
Self-defined scene module 210, for obtaining scene information, scene information includes analysis target, analyzes the number of target
According to measuring and influence the parameter of video equipment, and determine according to scene information the number amount and type of video equipment.
Self-defined scene module is mainly responsible for the definition and maintenance of scene, and the source of scene is broadly divided into two parts.First
Part is the picture captured in video flowing, is obtained from existing video resource;Second part is Scenario Design figure, because of part
Scene may not have video resource, so needing to obtain scene information from the design drawing of scene.
Self-defined scene module can capture a frame picture to define scene, by scene information from Sample video
It analyzes to select the number amount and type of video equipment.
Wherein, scene information includes analysis target, the data volume of the analysis target and the parameter for influencing video equipment, and
The number amount and type of the video equipment are determined according to the scene information.
Wherein, the quantity that video equipment can be determined according to the data volume of analysis target, regards according to analysis target and influence
The parameter of frequency equipment can determine the type of video equipment, the type of video equipment can specifically include the model of video equipment,
Purposes such as clarity, anti-interference etc..
In practical application, analysis target may include the analysis of the liquid and solid particle of the blowdown of environmental protection;Influence video
The parameter of equipment may include the factors such as illumination.
The equipment application of device management module 220, Sample video sequence and video equipment for obtaining analysis target is attached
Add information.
Device management module is mainly responsible for the Sample video sequence and equipment application additional information for obtaining video equipment.
Wherein, the Sample video sequence of video equipment be comprising with analysis the relevant video of target, such as when analysis target be
When sewage, including the video of sewage is Sample video sequence.
Equipment application additional information is the questionnaire of video equipment, and under different scenes, the investigation of same video equipment is asked
Volume is different.
Whether judgment module 230 regards for judging to have in algorithm resource pool with the number amount and type of video equipment, sample
The algorithm of frequency sequence and the binding of equipment application additional information.
In the present embodiment, in advance by algorithm assembly information and vision hardware information, using additional information, Sample video sequence
Information is bound, and best algorithm can be obtained from algorithm resource pool by inputting these parameters.
Algorithm configuration submodule 240, for determining the quantity having in algorithm resource pool with video equipment when judgment module
When with the algorithm of type, Sample video sequence and equipment application additional information binding, by algorithm resource pool, with video equipment
The algorithm of number amount and type, Sample video sequence and the binding of equipment application additional information is as optimal algorithm corresponding with scene.
In actual implementation, algorithm configuration module, can also be in algorithm in addition to can be realized in video analytics server
It is realized in configuration server.Specifically, algorithm configuration server is according to the scene information and equipment pipe in self-defined scene module
Mould equipment application additional information in the block, Sample video sequence are managed, scene is analyzed, is obtained from algorithm resource pool best
Algorithm assembly config set.
When there is no the algorithm suitable for current scene in algorithm resource pool, it will be unable to obtain optimal algorithm, need to carry at this time
Give professional algorithm configuration Shi Jinhang processing.Best configuration set of algorithms device management module is sent to later to calculate equipment
Method is added and update.
Task scheduling and problem evaluation module 250, for obtaining the journal file in video analytics server, and according to day
Will file determines the module of existing mistake during algorithm configuration.
Task scheduling is used for the integration of intermodule with problem evaluation module, and four module lists are regulated and controled in a manner of task scheduling
It is solely led to the problem of with intersection, and solution is come together in file or data repository, gone wrong in scene application
When, question classification is found out rapidly, and is solved a problem promptly.
Warning module 260 is used for when scene is safety guarantee scene, when the behavior of analysis target does not meet preset requirement
When, it is alarmed by preset alarm mode.
Warning module needs integrated as optional part when scene needs to timely feedback video analysis result.
Preset alarm mode includes:
It is flickered by the first preset frequency by LED light, and/or, send out the sound of the second preset frequency.
Scheme provided in an embodiment of the present invention, including self-defined scene module, device management module and algorithm configuration module,
Self-defined scene module is used to obtain Sample video sequence and the institute of analysis target for obtaining scene information, device management module
The equipment application additional information of video equipment is stated, algorithm configuration module is for the number amount and type according to the video equipment, institute
It states Sample video sequence and the equipment application additional information determines optimal algorithm corresponding with the scene.As it can be seen that of the invention
Embodiment can configure according to current scene combination algorithm and carry out video intelligent analysis.
Referring to Fig. 3, Fig. 3 is the method for the video analysis of the algorithm configuration provided in an embodiment of the present invention based on scene
A kind of flow diagram, device is held in corresponding embodiment referring to Fig.1 for the course of work of each unit in the flow diagram
Row process, this method include:
Step S301, scene information is obtained, scene information includes analysis target, analyzes the data volume of target and influences video
The parameter of equipment, and determine according to scene information the number amount and type of video equipment;
Step S302, the equipment application additional information of the Sample video sequence and video equipment of analysis target is obtained;
Step S303, it is determined according to the number amount and type of video equipment, Sample video sequence and equipment application additional information
Optimal algorithm corresponding with scene.
Scheme provided in an embodiment of the present invention obtains scene information, analyzes the Sample video sequence of target and the video
The equipment application additional information of equipment, and according to the number amount and type, Sample video sequence and the equipment of the video equipment
Optimal algorithm corresponding with the scene is determined using additional information.As it can be seen that the embodiment of the present invention can be according to current scene
Combination algorithm configuration carries out video intelligent analysis.
Referring to Fig. 4, Fig. 4 is the method for the video analysis of the algorithm configuration provided in an embodiment of the present invention based on scene
Another flow diagram, the course of work of each unit in the flow diagram is with reference to device in the corresponding embodiments of Fig. 2
Implementation procedure, this method include:
Step S401, obtain scene information, the scene information include analysis target, it is described analysis target data volume and
The parameter of video equipment is influenced, and determines the number amount and type of the video equipment according to the scene information;
Step S402, the additional letter of equipment application of the Sample video sequence and the video equipment of the analysis target is obtained
Breath;
Step S403, judge in the algorithm resource pool whether to have and number amount and type of the video equipment, described
The algorithm of Sample video sequence and equipment application additional information binding;
Step S404, it regards with the number amount and type of the video equipment, the sample when determining to have in algorithm resource pool
When frequency sequence and the algorithm of equipment application additional information binding, by algorithm resource pool, the quantity with the video equipment
With type, the Sample video sequence and the equipment application additional information binding algorithm as it is corresponding with the scene most
Excellent algorithm.
Step S405, when the scene is safety guarantee scene, when the behavior for analyzing target does not meet preset requirement,
It is alarmed by preset alarm mode.
Scheme provided in an embodiment of the present invention obtains scene information, analyzes the Sample video sequence of target and the video
The equipment application additional information of equipment, and according to the number amount and type, Sample video sequence and the equipment of the video equipment
Optimal algorithm corresponding with the scene is determined using additional information.As it can be seen that the embodiment of the present invention can be according to current scene
Combination algorithm configuration carries out video intelligent analysis.
Term " first ", " second ", " third " " in description and claims of this specification and above-mentioned attached drawing
The (if present)s such as four " are for distinguishing similar object, without being used to describe specific sequence or precedence.It should manage
The data that solution uses in this way can be interchanged in the appropriate case, so that the embodiment of the present invention described herein for example can be to remove
Sequence other than those of illustrating or describe herein is implemented.In addition, term " comprising " and " having " and theirs is any
Deformation, it is intended that cover it is non-exclusive include, for example, containing the process of series of steps or unit, method, system, production
Product or equipment those of are not necessarily limited to clearly to list step or unit, but may include not listing clearly or for this
The intrinsic other steps of processes, method, product or equipment or unit a bit.
For device or system embodiment, since it essentially corresponds to embodiment of the method, so related place referring to
The part of embodiment of the method illustrates.Device or system embodiment described above is only schematical, wherein described
The unit illustrated as separating component may or may not be physically separated, and the component shown as unit can be with
It is or may not be physical unit, you can be located at a place, or may be distributed over multiple network units.It can
It is achieved the purpose of the solution of this embodiment with selecting according to the actual needs some or all of module therein.This field is common
Technical staff is without creative efforts, you can to understand and implement.
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method are not having
It has more than in the spirit and scope of the present invention, can realize in other way.Current embodiment is a kind of demonstration
Example, should not be taken as limiting, given particular content should in no way limit the purpose of the present invention.For example, the unit or
The division of subelement, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple lists
First or multiple subelements combine.In addition, multiple units can with or component may be combined or can be integrated into another and be
System, or some features can be ignored or not executed.
In addition, the schematic diagram of described system, device and method and different embodiments, without departing from the scope of the present invention
It is interior, it can be with other systems, module, techniques or methods combination or integrated.Another point, shown or discussed mutual coupling
Close or direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit, can be with
It is electrical, machinery or other forms.
The above is only the specific implementation mode of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of device of the video analysis of the algorithm configuration based on scene, which is characterized in that it is applied to video analytics server,
Including:
Self-defined scene module, for obtaining scene information, the scene information includes analysis target, the number of the analysis target
According to measuring and influence the parameter of video equipment, and determine according to the scene information number amount and type of the video equipment;
The equipment application of device management module, Sample video sequence and the video equipment for obtaining the analysis target is attached
Add information;
Algorithm configuration module, for the number amount and type, the Sample video sequence and the equipment according to the video equipment
Optimal algorithm corresponding with the scene is determined using additional information.
2. the apparatus according to claim 1, which is characterized in that the algorithm configuration module, including:
Algorithm configuration submodule, for by algorithm resource pool, number amount and type, the Sample video with the video equipment
Sequence and the algorithm of equipment application additional information binding are as optimal algorithm corresponding with the scene.
3. the apparatus of claim 2, which is characterized in that further include:
Judgment module, for judging in the algorithm resource pool whether to have and number amount and type of the video equipment, described
The algorithm of Sample video sequence and equipment application additional information binding;
Correspondingly, the algorithm configuration submodule is specifically used for:
When the judgment module determines in algorithm resource pool with the number amount and type with the video equipment, the Sample video
When sequence and the algorithm of equipment application additional information binding, by the resource pool by algorithm, with the video equipment
The algorithm of number amount and type, the Sample video sequence and equipment application additional information binding is as corresponding with the scene
Optimal algorithm.
4. the apparatus according to claim 1, which is characterized in that further include:
Task scheduling and problem evaluation module, for obtaining the journal file in the video analytics server, and according to described
Journal file determines the module of existing mistake during algorithm configuration.
5. the apparatus according to claim 1, which is characterized in that when the scene is safety guarantee scene, further include:
Warning module, for when the behavior for analyzing target does not meet preset requirement, being alarmed by preset alarm mode.
6. device according to claim 4, which is characterized in that the preset alarm mode includes:
It is flickered by the first preset frequency by LED light, and/or, send out the sound of the second preset frequency.
7. a kind of method of the video analysis of the algorithm configuration based on scene, which is characterized in that it is applied to video analytics server,
Including:
Acquisition scene information, the scene information include analysis target, the data volume and influence video equipment of the analysis target
Parameter, and determine according to the scene information number amount and type of the video equipment;
Obtain the equipment application additional information of the Sample video sequence and the video equipment of the analysis target;
According to the number amount and type of the video equipment, the Sample video sequence and the equipment application additional information determine with
The corresponding optimal algorithm of the scene.
8. the method according to the description of claim 7 is characterized in that according to the number amount and type of the video equipment, the sample
This video sequence and the equipment application additional information determine optimal algorithm corresponding with the scene, including:
By in algorithm resource pool, number amount and type, the Sample video sequence and the equipment application with the video equipment
The algorithm of additional information binding is as optimal algorithm corresponding with the scene.
9. according to the method described in claim 8, it is characterized in that, further including:
Whether there are the number amount and type, the Sample video sequence and institute with the video equipment in the disconnected algorithm resource pool
State the algorithm of equipment application additional information binding;
Correspondingly, according to the additional letter of the number amount and type of the video equipment, the Sample video sequence and the equipment application
Breath determines optimal algorithm corresponding with the scene, specifically includes:
Have and the number amount and type of the video equipment, the Sample video sequence and described set when determining in algorithm resource pool
When the algorithm of standby application additional information binding, by the resource pool by algorithm, number amount and type, institute with the video equipment
The algorithm of Sample video sequence and equipment application additional information binding is stated as optimal algorithm corresponding with the scene.
10. the method according to the description of claim 7 is characterized in that when the scene is safety guarantee scene, further include:
When the behavior for analyzing target does not meet preset requirement, alarmed by preset alarm mode.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810355054.8A CN108337486A (en) | 2018-04-19 | 2018-04-19 | A kind of device and method of the video analysis of the algorithm configuration based on scene |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810355054.8A CN108337486A (en) | 2018-04-19 | 2018-04-19 | A kind of device and method of the video analysis of the algorithm configuration based on scene |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108337486A true CN108337486A (en) | 2018-07-27 |
Family
ID=62933395
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810355054.8A Pending CN108337486A (en) | 2018-04-19 | 2018-04-19 | A kind of device and method of the video analysis of the algorithm configuration based on scene |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108337486A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111582122A (en) * | 2020-04-29 | 2020-08-25 | 成都信息工程大学 | System and method for intelligently analyzing behaviors of multi-dimensional pedestrians in surveillance video |
CN113065615A (en) * | 2021-06-02 | 2021-07-02 | 南京甄视智能科技有限公司 | Scenario-based edge analysis algorithm issuing method and device and storage medium |
Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060291695A1 (en) * | 2005-06-24 | 2006-12-28 | Objectvideo, Inc. | Target detection and tracking from overhead video streams |
CN101052121A (en) * | 2006-04-05 | 2007-10-10 | 中国科学院自动化研究所 | Dynamic calibrating method and system for video frequency system parameter |
CN101146305A (en) * | 2006-09-13 | 2008-03-19 | 中兴通讯股份有限公司 | Configuration method of secure policy |
JP2009175850A (en) * | 2008-01-22 | 2009-08-06 | Nec Corp | Multi-arithmetic processing system, multi-arithmetic processing method, and multi-arithmetic processing program |
CN102426785A (en) * | 2011-11-18 | 2012-04-25 | 东南大学 | Traffic flow information perception method based on contour and local characteristic point and system thereof |
CN102752574A (en) * | 2011-04-18 | 2012-10-24 | 中兴通讯股份有限公司 | Video monitoring system and method |
CN103248867A (en) * | 2012-08-20 | 2013-08-14 | 苏州大学 | Surveillance method of intelligent video surveillance system based on multi-camera data fusion |
CN103281477A (en) * | 2013-05-17 | 2013-09-04 | 天津大学 | Multi-level characteristic data association-based multi-target visual tracking method |
CN103475870A (en) * | 2013-09-23 | 2013-12-25 | 国电南瑞科技股份有限公司 | Distributed extendable intelligent video surveillance system |
CN104378582A (en) * | 2013-08-16 | 2015-02-25 | 北京博思廷科技有限公司 | Intelligent video analysis system and method based on PTZ video camera cruising |
CN104702982A (en) * | 2013-12-20 | 2015-06-10 | 杭州海康威视数字技术股份有限公司 | Method and system for configuring algorithms for video analysis equipment |
CN105117835A (en) * | 2015-08-18 | 2015-12-02 | 电子科技大学 | A power grid information machine room three-dimensional visualized management platform based on a B/S framework |
CN105279331A (en) * | 2015-10-23 | 2016-01-27 | 国家电网公司 | Substation site monitoring camera constructing, deploying and modeling method |
CN106294439A (en) * | 2015-05-27 | 2017-01-04 | 北京广通神州网络技术有限公司 | A kind of data recommendation system and data recommendation method thereof |
CN106600025A (en) * | 2016-10-10 | 2017-04-26 | 昆明市环境科学研究院(昆明环境工程技术研究中心、昆明低碳城市发展研究中心、昆明市环境污染损害鉴定评估中心) | Multi-level urban sewage water reuse-and-recycle configuration data's dynamic processing method based on multi-objective hybrid genetic algorithm |
CN107094244A (en) * | 2017-05-27 | 2017-08-25 | 北方工业大学 | Intelligent passenger flow monitoring device and method capable of being managed and controlled in centralized mode |
CN107111664A (en) * | 2016-08-09 | 2017-08-29 | 深圳市瑞立视多媒体科技有限公司 | A kind of video camera collocation method and device |
-
2018
- 2018-04-19 CN CN201810355054.8A patent/CN108337486A/en active Pending
Patent Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060291695A1 (en) * | 2005-06-24 | 2006-12-28 | Objectvideo, Inc. | Target detection and tracking from overhead video streams |
CN101052121A (en) * | 2006-04-05 | 2007-10-10 | 中国科学院自动化研究所 | Dynamic calibrating method and system for video frequency system parameter |
CN101146305A (en) * | 2006-09-13 | 2008-03-19 | 中兴通讯股份有限公司 | Configuration method of secure policy |
JP2009175850A (en) * | 2008-01-22 | 2009-08-06 | Nec Corp | Multi-arithmetic processing system, multi-arithmetic processing method, and multi-arithmetic processing program |
CN102752574A (en) * | 2011-04-18 | 2012-10-24 | 中兴通讯股份有限公司 | Video monitoring system and method |
CN102426785A (en) * | 2011-11-18 | 2012-04-25 | 东南大学 | Traffic flow information perception method based on contour and local characteristic point and system thereof |
CN103248867A (en) * | 2012-08-20 | 2013-08-14 | 苏州大学 | Surveillance method of intelligent video surveillance system based on multi-camera data fusion |
CN103281477A (en) * | 2013-05-17 | 2013-09-04 | 天津大学 | Multi-level characteristic data association-based multi-target visual tracking method |
CN104378582A (en) * | 2013-08-16 | 2015-02-25 | 北京博思廷科技有限公司 | Intelligent video analysis system and method based on PTZ video camera cruising |
CN103475870A (en) * | 2013-09-23 | 2013-12-25 | 国电南瑞科技股份有限公司 | Distributed extendable intelligent video surveillance system |
CN104702982A (en) * | 2013-12-20 | 2015-06-10 | 杭州海康威视数字技术股份有限公司 | Method and system for configuring algorithms for video analysis equipment |
CN106294439A (en) * | 2015-05-27 | 2017-01-04 | 北京广通神州网络技术有限公司 | A kind of data recommendation system and data recommendation method thereof |
CN105117835A (en) * | 2015-08-18 | 2015-12-02 | 电子科技大学 | A power grid information machine room three-dimensional visualized management platform based on a B/S framework |
CN105279331A (en) * | 2015-10-23 | 2016-01-27 | 国家电网公司 | Substation site monitoring camera constructing, deploying and modeling method |
CN107111664A (en) * | 2016-08-09 | 2017-08-29 | 深圳市瑞立视多媒体科技有限公司 | A kind of video camera collocation method and device |
CN106600025A (en) * | 2016-10-10 | 2017-04-26 | 昆明市环境科学研究院(昆明环境工程技术研究中心、昆明低碳城市发展研究中心、昆明市环境污染损害鉴定评估中心) | Multi-level urban sewage water reuse-and-recycle configuration data's dynamic processing method based on multi-objective hybrid genetic algorithm |
CN107094244A (en) * | 2017-05-27 | 2017-08-25 | 北方工业大学 | Intelligent passenger flow monitoring device and method capable of being managed and controlled in centralized mode |
Non-Patent Citations (2)
Title |
---|
田壮: "基于场景和规则的智能视频监控系统的设计与实现", 《中国优秀硕士学位论文全文数据库(电子期刊)信息科技辑》 * |
黄凯奇: "智能视频监控技术综述", 《计算机学报》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111582122A (en) * | 2020-04-29 | 2020-08-25 | 成都信息工程大学 | System and method for intelligently analyzing behaviors of multi-dimensional pedestrians in surveillance video |
CN113065615A (en) * | 2021-06-02 | 2021-07-02 | 南京甄视智能科技有限公司 | Scenario-based edge analysis algorithm issuing method and device and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104144071B (en) | The processing platform of the processing method and system daily record of system journal | |
DE102006014634B4 (en) | Human machine interface for a control system | |
EP2428861B1 (en) | Method for analysing an automation system with the help of a computer | |
DE10242007A1 (en) | Portable computer in a process control environment | |
CN102348101A (en) | Examination room intelligence monitoring system and method thereof | |
CN103856762A (en) | Multi-camera intelligent selection and video priority judgment system and selection method | |
CN109063576A (en) | Management method and device for flight movement node | |
CN105185177A (en) | General intelligent management platform applied to electrical specialty group experiment teaching | |
CN108337486A (en) | A kind of device and method of the video analysis of the algorithm configuration based on scene | |
CN106549792B (en) | A kind of method, apparatus and system of the security control of VNF | |
DE102005041067A1 (en) | Traffic light system controlling method for use at junction in e.g. road network, involves temporally switching program such that traffic light transmitters for direction to be coordinated are in green phase at arrival time of vehicle group | |
CN109413168A (en) | Video images detection and intelligent analysis system based on cloud platform | |
CN107966914A (en) | Show the methods, devices and systems of image | |
Worrall | Realtime sonification and visualisation of network metadata | |
WO2020173983A1 (en) | Method and device for monitoring an industrial process step | |
DE102012205162A1 (en) | Observation and / or operation of a sports and / or rehabilitation device | |
CN109508341A (en) | Defect management method and system | |
DE102016121980A1 (en) | Concerted alarm treatment for a composite of dialysis machines | |
CN106982145A (en) | A kind of patterned end-to-end diagnostic method of broadband failure | |
CN110278197A (en) | A kind of management system and its management method of Internet of Things | |
CN109685699A (en) | A kind of municipal public safety simulator, simulation system and implementation method | |
CN114330545B (en) | Digital human dynamic capture analysis system based on ik algorithm | |
DE102008007646A1 (en) | Method for releasing and transmitting product-specific information by object, particularly by light to communication device, involves capturing and determining object identifying information through communication device | |
CN111626531B (en) | Risk control method, apparatus, system and storage medium | |
KR20120103119A (en) | Apparatus and method for controlling network failure status of supervisory unit |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20210127 Address after: 100094 room 106, 1st floor, building 16, east yard, No.10, xibeiwangdong Road, Haidian District, Beijing Applicant after: Beijing Softcom Smart City Technology Co.,Ltd. Address before: 100193 506, 5 / F, building 16, east yard, No. 10, xibeiwangdong Road, Haidian District, Beijing Applicant before: BEIJING ISOFTSTONE ZHICHENG TECHNOLOGY Co.,Ltd. |
|
TA01 | Transfer of patent application right | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180727 |
|
RJ01 | Rejection of invention patent application after publication |