CN112637200A - Loosely-coupled video target tracking implementation method - Google Patents
Loosely-coupled video target tracking implementation method Download PDFInfo
- Publication number
- CN112637200A CN112637200A CN202011528998.4A CN202011528998A CN112637200A CN 112637200 A CN112637200 A CN 112637200A CN 202011528998 A CN202011528998 A CN 202011528998A CN 112637200 A CN112637200 A CN 112637200A
- Authority
- CN
- China
- Prior art keywords
- video
- analysis
- data
- access gateway
- strategy
- 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.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/10—Architectures or entities
- H04L65/102—Gateways
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/60—Network streaming of media packets
- H04L65/65—Network streaming protocols, e.g. real-time transport protocol [RTP] or real-time control protocol [RTCP]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/60—Network streaming of media packets
- H04L65/70—Media network packetisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/80—Responding to QoS
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/2866—Architectures; Arrangements
- H04L67/30—Profiles
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/08—Protocols for interworking; Protocol conversion
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
- H04N21/4312—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
A loosely-coupled video target tracking implementation method is characterized in that a special access gateway and a Kafka service component are deployed on the basis of a GB/T28181 video monitoring system. The gateway is used for accessing various third-party intelligent analysis algorithm modules and consists of a management unit and a data receiving unit. The Kafka service component is used for receiving the intelligent analysis result data and providing the intelligent analysis result data for the client subscription and consumption of the application system. The method can display the intelligent analysis target tracking effect on the real-time monitoring video picture without encoding and decoding the video, and does not increase the video code rate and influence the video quality. In addition, the system designed according to the method can realize loose coupling when accessing the intelligent analysis algorithm, thereby being convenient for integrating various third-party algorithms and expanding the performance of the algorithms.
Description
Technical Field
The invention relates to the field of video monitoring, in particular to a loosely-coupled video target tracking implementation method.
Background
With the continuous improvement of the demand of the security protection field on the monitoring video, the intelligent development speed is promoted by massive video data. Real-time viewing cannot meet the requirements of urban public security management, traffic violation management and the like, and the current situation is being changed by an intelligent video analysis technology. However, in many application scenarios of video analysis, the rules and algorithms are different, and the data and docking standards of various algorithm manufacturers are also different, so that an integration method is required, so that the application system realizes unified access and rapid expansion of the algorithms.
On the other hand, the transmission of the current analysis data is generally accompanied in the video stream data, so that the parsing work of the video analysis data is coupled with the video stream, and even the video needs to be subjected to coding and decoding processing. Application systems seek to depart from this transmission in order to simplify the parsing of the analysis data. Kafka is a high throughput distributed publish-subscribe messaging system that only requires designation of Topic to produce or consume cached messages. In support of setting the expiration time of the message, expired data is automatically cleared to free up disk space. The characteristics of high concurrency and low delay of Kafka are utilized to be used as an efficient buffer for video analysis data.
Disclosure of Invention
In view of the above, the present invention has been developed to provide a loosely coupled video object tracking implementation that overcomes, or at least partially solves, the above-mentioned problems.
In order to solve the technical problem, the embodiment of the application discloses the following technical scheme:
a loosely-coupled video target tracking implementation method comprises the following steps:
s100, configuring and acquiring an intelligent analysis strategy from an access gateway by an application system client, storing the intelligent analysis strategy configuration by a management unit in the access gateway and forwarding the intelligent analysis strategy configuration to a corresponding algorithm module;
s200, an application system client sends an analysis request to an access gateway, a management unit in the access gateway receives the analysis request, creates an analysis task, selects an available algorithm module according to the current situation, performs protocol conversion on the analysis request and then issues the analysis task;
s300, calling a video stream to a video monitoring system after the analysis task is received by an algorithm module, carrying out corresponding analysis on the video stream according to analysis strategy configuration, and transmitting an analysis result to an access gateway in real time;
s400, a data receiving unit in the access gateway distributes the received video analysis data to a kafka message queue;
s500, the client of the application system calls the video stream from the video monitoring system, simultaneously subscribes and consumes video analysis data in the Kafka message queue, and after coordinate data of the target tracking frame are analyzed, the video analysis data are superposed at the designated position of a video picture.
Further, in S100, a specific method for configuring and acquiring the intelligent analysis policy by the application system client is as follows:
s101, defining a uniform strategy configuration data format and a corresponding template in a system according to a detection rule and a parameter;
s102, after selecting a monitoring point, inquiring a current analysis strategy for the access gateway, and acquiring whether the current access gateway is configured with strategy information;
s103, when the current access gateway is configured with strategy information and shows the current analysis strategy, whether a user modifies the analysis strategy information is obtained;
and S104, when the analysis strategy information which is not modified by the user is obtained, entering an analysis task preparation state.
Further, in S101, the detection area or detection line data in the template is empty.
Further, S103 further includes: and when the current access gateway is not configured with the strategy information and shows the current analysis strategy, reading the configuration template file as initial data of strategy configuration.
Further, S104 further includes: when the user modification analysis strategy information is obtained, the user modifies the analysis strategy, sets the detection rule, configures the relevant detection parameters, and draws the detection area and the detection line.
Further, in S500, after the coordinate data of the target tracking frame is analyzed, a specific method of superimposing the coordinate data at the designated position of the video frame is as follows:
s501, subscribing and consuming video analysis data to Kafka by an application system client;
s502, a transparent background window is newly built and hidden, and the size and position coordinates of the window are consistent with those of a video playing window and change along with the video playing window;
s503, extracting the relative position coordinates and the size of the tracking frame in the video picture in the video analysis data of the monitoring point after requesting the video;
s504, drawing the tracking frame on the transparent background window according to the coordinates and the size while playing the video picture, and displaying the transparent background window;
and S505, hiding the transparent background window when the video picture stops playing.
Further, the video monitoring system is based on the GB/T28181 protocol.
Further, the algorithm module is accessed by a third party platform through the gateway.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
the invention provides a loosely-coupled video target tracking implementation method, which deploys a special access gateway and a Kafka service component on the basis of a GB/T28181 video monitoring system. The gateway is used for accessing various third-party intelligent analysis algorithm modules and consists of a management unit and a data receiving unit. The Kafka service component is used for receiving the intelligent analysis result data and providing the intelligent analysis result data for the client subscription and consumption of the application system. The method can display the intelligent analysis target tracking effect on the real-time monitoring video picture without encoding and decoding the video, and does not increase the video code rate and influence the video quality. In addition, the system designed according to the method can realize loose coupling when accessing the intelligent analysis algorithm, thereby being convenient for integrating various third-party algorithms and expanding the performance of the algorithms.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a loosely-coupled video target tracking implementation method in embodiment 1 of the present invention;
fig. 2 is a schematic diagram of a loosely-coupled video target tracking implementation method in embodiment 1 of the present invention;
fig. 3 is a specific logic flow diagram of configuring and acquiring an intelligent analysis policy in S100 in embodiment 1 of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to solve the problems in the prior art, embodiments of the present invention provide a loosely-coupled video target tracking implementation method.
Example 1
A loosely-coupled video target tracking implementation, as shown in fig. 1 and 2, includes:
s100, the client of the application system configures and acquires an intelligent analysis strategy from the access gateway, and a management unit in the access gateway stores and forwards the configuration of the intelligent analysis strategy to a corresponding algorithm module.
In S100 of this embodiment, a specific method for configuring and acquiring an intelligent analysis policy by an application system client is as shown in fig. 3:
s101, defining a uniform strategy configuration data format and a corresponding template in a system according to a detection rule and a parameter; preferably, the detection region or detection line data in the template is empty.
S102, after selecting a monitoring point, inquiring a current analysis strategy for the access gateway, and acquiring whether the current access gateway is configured with strategy information;
s103, when the current access gateway is configured with the strategy information and shows the current analysis strategy, whether the user modifies the analysis strategy information is obtained.
Preferably, S103 further comprises: and when the current access gateway is not configured with the strategy information and shows the current analysis strategy, reading the configuration template file as initial data of strategy configuration.
And S104, when the analysis strategy information which is not modified by the user is obtained, entering an analysis task preparation state. Preferably, S104 further includes: when the user modification analysis strategy information is obtained, the user modifies the analysis strategy, sets the detection rule, configures the relevant detection parameters, and draws the detection area and the detection line.
S200, an application system client sends an analysis request to an access gateway, a management unit in the access gateway receives the analysis request, creates an analysis task, selects an available algorithm module according to the current situation, performs protocol conversion on the analysis request and then issues the analysis task;
s300, the algorithm module calls the video stream to the video monitoring system after receiving the analysis task, correspondingly analyzes the video stream according to the analysis strategy configuration, and transmits the analysis result to the access gateway in real time.
In this embodiment, the video monitoring system is based on the GB/T28181 protocol, the algorithm module is accessed by the third party platform through the gateway, multiple algorithms may be simultaneously accessed in the algorithm module, and the algorithm type is not limited in this embodiment.
S400, a data receiving unit in the access gateway distributes the received video analysis data to a kafka message queue;
s500, the client of the application system calls the video stream from the video monitoring system, simultaneously subscribes and consumes video analysis data in the Kafka message queue, and after coordinate data of the target tracking frame are analyzed, the video analysis data are superposed at the designated position of a video picture.
Preferably, in this embodiment S500, after the coordinate data of the target tracking frame is analyzed, a specific method of superimposing the coordinate data at the specified position of the video frame is as follows:
s501, subscribing and consuming video analysis data to Kafka by an application system client;
s502, a transparent background window is newly built and hidden, and the size and position coordinates of the window are consistent with those of a video playing window and change along with the video playing window;
s503, extracting the relative position coordinates and the size of the tracking frame in the video picture in the video analysis data of the monitoring point after requesting the video;
s504, drawing the tracking frame on the transparent background window according to the coordinates and the size while playing the video picture, and displaying the transparent background window;
and S505, hiding the transparent background window when the video picture stops playing.
The embodiment provides a loosely-coupled video target tracking implementation method, and a special access gateway and a Kafka service component are deployed on the basis of a GB/T28181 video monitoring system. The gateway is used for accessing various third-party intelligent analysis algorithm modules and consists of a management unit and a data receiving unit. The Kafka service component is used for receiving the intelligent analysis result data and providing the intelligent analysis result data for the client subscription and consumption of the application system. According to the embodiment, the intelligent analysis target tracking effect can be displayed on the real-time monitoring video picture without encoding and decoding the video, the video code rate is not increased, and the video quality is not influenced. In addition, the system designed according to the method can realize loose coupling when accessing the intelligent analysis algorithm, thereby being convenient for integrating various third-party algorithms and expanding the performance of the algorithms.
It should be understood that the specific order or hierarchy of steps in the processes disclosed is an example of exemplary approaches. Based upon design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, and are not intended to be limited to the specific order or hierarchy presented.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. Of course, the processor and the storage medium may reside as discrete components in a user terminal.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.
What has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent that the term "includes" is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term "comprising" as "comprising" is interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or".
Claims (8)
1. A loosely-coupled video target tracking implementation method is characterized by comprising the following steps:
s100, configuring and acquiring an intelligent analysis strategy from an access gateway by an application system client, storing the intelligent analysis strategy configuration by a management unit in the access gateway and forwarding the intelligent analysis strategy configuration to a corresponding algorithm module;
s200, an application system client sends an analysis request to an access gateway, a management unit in the access gateway receives the analysis request, creates an analysis task, selects an available algorithm module according to the current situation, performs protocol conversion on the analysis request and then issues the analysis task;
s300, calling a video stream to a video monitoring system after the analysis task is received by an algorithm module, carrying out corresponding analysis on the video stream according to analysis strategy configuration, and transmitting an analysis result to an access gateway in real time;
s400, a data receiving unit in the access gateway distributes the received video analysis data to a kafka message queue;
s500, the client of the application system calls the video stream from the video monitoring system, simultaneously subscribes and consumes video analysis data in the Kafka message queue, and after coordinate data of the target tracking frame are analyzed, the video analysis data are superposed at the designated position of a video picture.
2. The loosely-coupled video target tracking implementation method of claim 1, wherein in S100, the specific method for configuring and acquiring the intelligent analysis policy by the application system client is as follows:
s101, defining a uniform strategy configuration data format and a corresponding template in a system according to a detection rule and a parameter;
s102, after selecting a monitoring point, inquiring a current analysis strategy for the access gateway, and acquiring whether the current access gateway is configured with strategy information;
s103, when the current access gateway is configured with strategy information and shows the current analysis strategy, whether a user modifies the analysis strategy information is obtained;
and S104, when the analysis strategy information which is not modified by the user is obtained, entering an analysis task preparation state.
3. The method of claim 2, wherein in S101, the detection area or detection line data in the template is empty.
4. The method of claim 2, wherein S103 further comprises: and when the current access gateway is not configured with the strategy information and shows the current analysis strategy, reading the configuration template file as initial data of strategy configuration.
5. The method of claim 2, wherein S104 further comprises: when the user modification analysis strategy information is obtained, the user modifies the analysis strategy, sets the detection rule, configures the relevant detection parameters, and draws the detection area and the detection line.
6. The method for tracking and implementing the loosely-coupled video target of claim 1, wherein in S500, after the coordinate data of the target tracking frame is analyzed, the specific method of superimposing the coordinate data at the designated position of the video frame is as follows:
s501, subscribing and consuming video analysis data to Kafka by an application system client;
s502, a transparent background window is newly built and hidden, and the size and position coordinates of the window are consistent with those of a video playing window and change along with the video playing window;
s503, extracting the relative position coordinates and the size of the tracking frame in the video picture in the video analysis data of the monitoring point after requesting the video;
s504, drawing the tracking frame on the transparent background window according to the coordinates and the size while playing the video picture, and displaying the transparent background window;
and S505, hiding the transparent background window when the video picture stops playing.
7. A loosely coupled video object tracking implementation method as claimed in claim 1, wherein the video surveillance system is based on the GB/T28181 protocol.
8. The method of claim 1, wherein the algorithm module is accessed by a third party platform through a gateway.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011528998.4A CN112637200B (en) | 2020-12-22 | 2020-12-22 | Loosely-coupled video target tracking implementation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011528998.4A CN112637200B (en) | 2020-12-22 | 2020-12-22 | Loosely-coupled video target tracking implementation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112637200A true CN112637200A (en) | 2021-04-09 |
| CN112637200B CN112637200B (en) | 2023-04-18 |
Family
ID=75321112
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011528998.4A Active CN112637200B (en) | 2020-12-22 | 2020-12-22 | Loosely-coupled video target tracking implementation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112637200B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113596396A (en) * | 2021-07-27 | 2021-11-02 | 上海悠络客电子科技股份有限公司 | GB 28181-based target tracking system |
| CN115209179A (en) * | 2022-05-27 | 2022-10-18 | 浪潮通信技术有限公司 | Video data processing method and device |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103188474A (en) * | 2011-12-30 | 2013-07-03 | 中兴通讯股份有限公司 | Video intelligent analysis system and storing and playing method of surveillance video thereof |
| US20160351228A1 (en) * | 2015-05-28 | 2016-12-01 | Idomoo Ltd | System and method to generate an interactive video on the fly |
| CN106534784A (en) * | 2016-11-22 | 2017-03-22 | 苏州航天系统工程有限公司 | Acquisition analysis storage statistical system for video analysis data result set |
| CN108268598A (en) * | 2017-12-18 | 2018-07-10 | 苏州航天系统工程有限公司 | A kind of analysis system and analysis method based on vedio data |
| CN108810456A (en) * | 2017-07-17 | 2018-11-13 | 北京视联动力国际信息技术有限公司 | A kind of monitoring video flow transfers method and system |
| EP3495990A1 (en) * | 2017-12-06 | 2019-06-12 | Parsec 3.26 S.r.l. | Software architecture for real time analysis of a plurality of video streams for video surveillance applications |
| CN109922315A (en) * | 2019-03-01 | 2019-06-21 | 西安电子科技大学 | A kind of real-time video behavior analysis method based on Spark and OpenCV |
| CN110738692A (en) * | 2018-07-20 | 2020-01-31 | 广州优亿信息科技有限公司 | spark cluster-based intelligent video identification method |
| CN111046766A (en) * | 2019-12-02 | 2020-04-21 | 武汉烽火众智数字技术有限责任公司 | Behavior recognition method and device and computer storage medium |
| CN111400405A (en) * | 2020-03-30 | 2020-07-10 | 兰州交通大学 | Monitoring video data parallel processing system and method based on distribution |
| CN111683270A (en) * | 2020-06-12 | 2020-09-18 | 北京英智数联科技有限公司 | Video analysis system, control system, management system and monitoring system |
-
2020
- 2020-12-22 CN CN202011528998.4A patent/CN112637200B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103188474A (en) * | 2011-12-30 | 2013-07-03 | 中兴通讯股份有限公司 | Video intelligent analysis system and storing and playing method of surveillance video thereof |
| US20160351228A1 (en) * | 2015-05-28 | 2016-12-01 | Idomoo Ltd | System and method to generate an interactive video on the fly |
| CN106534784A (en) * | 2016-11-22 | 2017-03-22 | 苏州航天系统工程有限公司 | Acquisition analysis storage statistical system for video analysis data result set |
| CN108810456A (en) * | 2017-07-17 | 2018-11-13 | 北京视联动力国际信息技术有限公司 | A kind of monitoring video flow transfers method and system |
| EP3495990A1 (en) * | 2017-12-06 | 2019-06-12 | Parsec 3.26 S.r.l. | Software architecture for real time analysis of a plurality of video streams for video surveillance applications |
| CN108268598A (en) * | 2017-12-18 | 2018-07-10 | 苏州航天系统工程有限公司 | A kind of analysis system and analysis method based on vedio data |
| CN110738692A (en) * | 2018-07-20 | 2020-01-31 | 广州优亿信息科技有限公司 | spark cluster-based intelligent video identification method |
| CN109922315A (en) * | 2019-03-01 | 2019-06-21 | 西安电子科技大学 | A kind of real-time video behavior analysis method based on Spark and OpenCV |
| CN111046766A (en) * | 2019-12-02 | 2020-04-21 | 武汉烽火众智数字技术有限责任公司 | Behavior recognition method and device and computer storage medium |
| CN111400405A (en) * | 2020-03-30 | 2020-07-10 | 兰州交通大学 | Monitoring video data parallel processing system and method based on distribution |
| CN111683270A (en) * | 2020-06-12 | 2020-09-18 | 北京英智数联科技有限公司 | Video analysis system, control system, management system and monitoring system |
Non-Patent Citations (2)
| Title |
|---|
| 张凡忠: "智能视频分析技术在视频监控中的应用", 《中国安防》 * |
| 王惠峰等: "一种低耦合的视频内容处理框架", 《电视技术》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113596396A (en) * | 2021-07-27 | 2021-11-02 | 上海悠络客电子科技股份有限公司 | GB 28181-based target tracking system |
| CN115209179A (en) * | 2022-05-27 | 2022-10-18 | 浪潮通信技术有限公司 | Video data processing method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112637200B (en) | 2023-04-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112637200B (en) | Loosely-coupled video target tracking implementation method | |
| US20140071273A1 (en) | Recognition Based Security | |
| CN103024188B (en) | A kind of based reminding method of unprocessed information and alarm set | |
| EP2688296A1 (en) | Video monitoring system and method | |
| US20070198641A1 (en) | Method and system for mediating published message streams for selective distribution | |
| WO2012095867A4 (en) | An integrated intelligent server based system and method/systems adapted to facilitate fail-safe integration and /or optimized utilization of various sensory inputs | |
| US7177907B2 (en) | Message reception device, message reception method, and program for receiving message is recorded | |
| CN106412078B (en) | Accurate information method for pushing, device and system | |
| US8320545B2 (en) | System, method, and logic for determining presence status according to the location of endpoints | |
| CN107944461A (en) | A kind of data processing method, device and equipment | |
| US8874146B2 (en) | Determining geographic zone | |
| US11562772B2 (en) | Video processing method, electronic device, and storage medium | |
| CN113329205A (en) | Internet of things video data processing system, intelligent retail system, method and device | |
| JP2019149785A (en) | Video conversion device and program | |
| US11544912B2 (en) | Cloud VR device for motion-to-photon (MTP) latency reduction | |
| CN116132623A (en) | Intelligent analysis method, system and equipment based on video monitoring | |
| CN110971870B (en) | Data processing method for image display | |
| CN108234940A (en) | A kind of video monitoring server-side, system and method | |
| CN106878149A (en) | A kind of foreign-going ship communication means and information switch endpoint based on wechat public number | |
| CN113722401B (en) | Data caching method and device, computer equipment and readable storage medium | |
| US20090299628A1 (en) | Method and system for positional communication | |
| CN111355933B (en) | Gstreamer framework timely detection method and server | |
| KR102460474B1 (en) | Cloud vr device for reducing picture jittering | |
| CN107800999A (en) | A kind of method and system for mixing access video camera and video platform | |
| US10496738B1 (en) | Method and apparatus for facilitating participation in a remote viewing session |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |