CN113206985A - Video monitoring method and device and cloud server - Google Patents
Video monitoring method and device and cloud server Download PDFInfo
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- CN113206985A CN113206985A CN202110533730.8A CN202110533730A CN113206985A CN 113206985 A CN113206985 A CN 113206985A CN 202110533730 A CN202110533730 A CN 202110533730A CN 113206985 A CN113206985 A CN 113206985A
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- 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
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- 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
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- 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
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- Computer Networks & Wireless Communication (AREA)
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- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses a video monitoring method, a video monitoring device and a cloud server, wherein the method comprises the following steps: receiving an identification and analysis request of a target monitoring video, wherein the identification and analysis request comprises a target event type of the target monitoring video; determining candidate analysis threads in an available state from a pre-constructed analysis thread group; selecting a target analysis thread corresponding to the target event type from the candidate analysis threads; setting the state of the target analysis thread as an unavailable state; and analyzing the target monitoring video by using the target analysis thread in the unavailable state. By utilizing the technical scheme provided by the embodiment of the application, effective multiplexing of analysis threads can be simultaneously carried out on a single monitoring video clip, and analysis judgment can be simultaneously carried out on multiple possible events, so that the overall operation efficiency and performance of the video monitoring system are effectively improved, and convenience is provided for monitoring personnel.
Description
Technical Field
The invention relates to the technical field of video monitoring, in particular to a video monitoring method and device and a cloud server.
Background
With the development of the video monitoring technology field, a monitoring system mainly comprising a front-end monitoring camera and a rear-end monitoring server gradually becomes the mainstream. In the prior art, the following two modes are generally used for video monitoring: 1. carrying out manual analysis on the video stream image obtained by the front-end monitoring camera by a worker of the rear-end monitoring server; 2. and carrying out mode recognition on the video stream image obtained by the front-end monitoring camera by an artificial intelligence system in the rear-end monitoring server to obtain a suspicious object and warn a worker. However, the two technologies do not consider the operation capability of the monitoring system itself, and generally need to analyze the video stream with full performance in real time, which is not beneficial to the service life of the monitoring device, and also lacks the pertinence to the possible events.
Disclosure of Invention
In order to overcome at least the above disadvantages in the prior art, the present invention provides a video monitoring method, a video monitoring device and a cloud server.
In a first aspect, the present invention provides a video monitoring method, including:
receiving an identification and analysis request of a target monitoring video, wherein the identification and analysis request comprises a target event type of the target monitoring video;
determining candidate analysis threads in an available state from a pre-constructed analysis thread group;
selecting a target analysis thread corresponding to the target event type from the candidate analysis threads;
setting the state of the target analysis thread as an unavailable state;
and analyzing the target monitoring video by using the target analysis thread in an unavailable state to determine whether the target monitoring video has an event corresponding to the target event type.
In a second aspect, the present invention provides a video monitoring apparatus, comprising:
a request receiving module configured to execute an identification parsing request for receiving a target surveillance video, the identification parsing request including a target event type of the target surveillance video;
a thread selection module configured to execute candidate parsing threads determined to be available from a set of pre-constructed parsing threads;
a thread selection module configured to execute selecting a target analysis thread corresponding to the target event type from the candidate analysis threads;
a switching module configured to perform setting of a state of the target resolution thread to an unavailable state;
and the analysis module is configured to analyze the target monitoring video by utilizing the target analysis thread in the unavailable state.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, where instructions are stored, and when executed, cause a computer to perform the video monitoring method in the first aspect or any one of the possible designs of the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a cloud server, where the cloud server includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is used for being communicatively connected with at least one video monitoring terminal, the machine-readable storage medium is used for storing a program, an instruction, or a code, and the processor is used for executing the program, the instruction, or the code in the machine-readable storage medium to perform the video monitoring method in the first aspect or any one of the possible designs in the first aspect.
Based on any one of the aspects, the analysis thread group is constructed in advance, when an identification analysis request of the target surveillance video is received, the target analysis thread in an available state corresponding to the target event type of the target surveillance video can be directly selected to analyze the target surveillance video, effective multiplexing of the analysis threads can be simultaneously carried out on a single surveillance video segment, analysis judgment can be simultaneously carried out on multiple possible events, and the corresponding analysis thread is not triggered for the unidentified event type, so that system operation resources are saved, the overall operation efficiency and performance of the video surveillance system are effectively improved, and convenience is provided for monitoring personnel.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic view of an application scenario of a video monitoring system according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a video monitoring method according to an embodiment of the present invention;
fig. 3 is a schematic functional block diagram of a video monitoring apparatus according to an embodiment of the present invention;
fig. 4 is a schematic block diagram of a structure of a cloud server for implementing the video monitoring method according to an embodiment of the present invention.
Detailed Description
The present invention is described in detail below with reference to the drawings, and the specific operation methods in the method embodiments can also be applied to the apparatus embodiments or the system embodiments.
Fig. 1 is an interaction diagram of a video surveillance system 10 according to an embodiment of the present invention. The video monitoring system 10 may include a cloud server 100 and a video monitoring terminal 200 communicatively connected to the cloud server 100. The video surveillance system 10 shown in fig. 1 is merely one possible example, and in other possible embodiments, the video surveillance system 10 may include only some of the components shown in fig. 1 or may include other components.
In this embodiment, the video monitoring terminal 200 may comprise a mobile device, a tablet computer, a laptop computer, or any combination thereof. In some embodiments, the mobile device may include a smart home device, a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, or the like, or any combination thereof. In some embodiments, the smart home devices may include control devices of smart electrical devices, smart monitoring devices, smart televisions, smart cameras, and the like, or any combination thereof. In some embodiments, the wearable device may include a smart bracelet, a smart lace, smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, or the like, or any combination thereof. In some embodiments, the smart mobile device may include a smartphone, a personal digital assistant, a gaming device, and the like, or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include a virtual reality helmet, virtual reality glass, a virtual reality patch, an augmented reality helmet, augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, the virtual reality device and/or augmented reality device may include various virtual reality products and the like.
In this embodiment, the cloud server 100 and the video monitoring terminal 200 in the video monitoring system 10 may execute the video monitoring method described in the following method embodiment in a matching manner, and for a specific step of the cloud server 100 and the video monitoring terminal 200, reference may be made to the detailed description of the following method embodiment.
To solve the technical problem in the foregoing background art, fig. 2 is a schematic flowchart of a video monitoring method according to an embodiment of the present invention, and the video monitoring method according to the embodiment may be executed by the cloud server 100 shown in fig. 1, and the video monitoring method is described in detail below.
Step S110, receiving an identification and analysis request of a target monitoring video, wherein the identification and analysis request comprises a target event type of the target monitoring video;
step S120, determining candidate analysis threads in an available state from a pre-constructed analysis thread group;
step S130, selecting a target analysis thread corresponding to the target event type from the candidate analysis threads;
step S140, setting the state of the target analysis thread as an unavailable state;
step S150, analyzing the target surveillance video by using the target analysis thread in an unavailable state, so as to determine whether an event corresponding to the target event type occurs in the target surveillance video.
In one possible embodiment, the method further comprises:
step S010, generating a fixed number of analysis thread groups, wherein the fixed number represents the maximum value of the analysis threads contained in the analysis thread groups;
step S020, determining the quantity of simultaneously usable threads, wherein the quantity of the simultaneously usable threads is less than or equal to the fixed quantity;
step S030 is to create an analysis thread of an available state equivalent to the amount of the concurrently usable threads in the analysis thread group, and obtain the analysis thread group.
In one possible embodiment, step S020 further includes:
step S021, determining the event type of a preset target event;
step S022, when the event types comprise at least two event types, determining a target event number of each event type;
step S023, setting the number of analysis threads corresponding to each event type according to the number of target events of each event type;
and S024, taking the sum of the analysis thread quantities corresponding to the at least two event types as the quantity of the simultaneously usable threads.
In one possible embodiment, the method further comprises:
step S161, determining an upgrade event type of the upgraded target event in response to the target event upgrade instruction;
step S162, when there is no analysis thread with available state matched with the upgrading event type in the analysis thread group, determining the analysis thread quantity corresponding to the upgrading event type according to the fixed quantity and the quantity of the available threads;
step S163, creating analysis threads of the number of analysis threads corresponding to the upgrade event type;
step S164, setting the state of the analysis threads with the analysis thread number corresponding to the upgrade event type as an available state;
and step S165, upgrading the analysis thread group based on the analysis threads with the analysis thread number corresponding to the upgrade event type in the available state.
In one possible embodiment, the method further comprises:
step S171, when the target analysis thread finishes analyzing the target monitoring video, setting the state of the target analysis thread as an available state;
step S172, performing emptying processing on the target analysis thread.
In one possible embodiment, the method further comprises: the identification analysis request further comprises monitoring back-end interface information and monitoring front-end identification information, and the target analysis thread in an unavailable state is controlled to load the running parameters corresponding to the monitoring front-end identification information, so that the target analysis thread executes the running parameters according to the monitoring back-end interface information.
Fig. 3 is a schematic diagram of functional modules of a video monitoring apparatus 300 according to an embodiment of the present invention, and in this embodiment, the functional modules of the video monitoring apparatus 300 may be divided according to the method embodiment executed by the cloud server 100, that is, the following functional modules corresponding to the video monitoring apparatus 300 may be used to execute the method embodiments executed by the cloud server 100. The video monitoring apparatus 300 may include a request receiving module 310, a thread selecting module 320, a thread determining module 330, a switching module 340, and a parsing module 350, and the functions of the functional modules of the video monitoring apparatus 300 are described in detail below.
The request receiving module 310 may be configured to perform the step S110 described above, that is, configured to perform receiving a recognition parsing request of a target surveillance video, where the recognition parsing request includes a target event type of the target surveillance video.
The thread selection module 320 may be configured to perform the above step S120, i.e., configured to execute a candidate parsing thread determined to be available from a pre-constructed set of parsing threads.
The thread determining module 330 may be configured to perform the step S130, namely configured to select a target resolving thread corresponding to the target event type from the candidate resolving threads.
The switching module 340 may be configured to perform the step S140 described above, that is, configured to set the state of the target resolution thread to an unavailable state.
The parsing module 350 may be configured to perform the above step S150, namely, configured to parse the target surveillance video by using the target parsing thread in the unavailable state.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the request receiving module 310 may be a processing element separately set up, or may be implemented by being integrated into a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and a processing element of the apparatus calls and executes the functions of the request receiving module 310. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when some of the above modules are implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can call the program code. As another example, these modules may be integrated together, implemented in the form of a system-on-a-chip (SOC).
Fig. 4 is a schematic diagram illustrating a hardware structure of the cloud server 100 for implementing the control device, according to an embodiment of the present invention, as shown in fig. 4, the cloud server 100 may include a processor 110, a machine-readable storage medium 120, a bus 130, and a transceiver 140.
In a specific implementation process, at least one processor 110 executes computer-executable instructions stored in the machine-readable storage medium 120 (for example, included in the video monitoring apparatus 300 shown in fig. 3), so that the processor 110 may perform the video monitoring method according to the above method embodiment, where the processor 110, the machine-readable storage medium 120, and the transceiver 140 are connected through the bus 130, and the processor 110 may be configured to control the transceiver action of the transceiver 140, so as to perform data transceiving with the video monitoring terminal 200.
For a specific implementation process of the processor 110, reference may be made to the above-mentioned method embodiments executed by the cloud server 100, and implementation principles and technical effects are similar, which are not described herein again.
In the embodiment shown in fig. 4, it should be understood that the processor may be a Central Processing Unit (CPU), other general-purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The machine-readable storage medium 120 may comprise high-speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus 130 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus 130 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
In addition, the embodiment of the present invention further provides a readable storage medium, where the readable storage medium stores computer execution instructions, and when a processor executes the computer execution instructions, the video monitoring method is implemented.
The readable storage medium described above may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. A video surveillance method, the method comprising:
receiving an identification and analysis request of a target monitoring video, wherein the identification and analysis request comprises a target event type of the target monitoring video;
determining candidate analysis threads in an available state from a pre-constructed analysis thread group;
selecting a target analysis thread corresponding to the target event type from the candidate analysis threads;
setting the state of the target analysis thread as an unavailable state;
and analyzing the target monitoring video by using the target analysis thread in an unavailable state to determine whether the target monitoring video has an event corresponding to the target event type.
2. The method of claim 1, further comprising:
generating a fixed number of analysis thread groups, wherein the fixed number represents the maximum value of the analysis threads in the analysis thread groups;
determining the quantity of simultaneously usable threads, wherein the quantity of simultaneously usable threads is less than or equal to the fixed quantity;
and creating an analysis thread with an available state which is equal to the quantity of the simultaneously available threads in the analysis thread group to obtain the analysis thread group.
3. The method of claim 2, wherein determining the amount of concurrently available threads comprises:
determining an event type of a preset target event;
when the event types comprise at least two event types, determining the target event number of each event type;
setting the number of analysis threads corresponding to each event type according to the number of target events of each event type;
and taking the sum of the number of analysis threads corresponding to the at least two event types as the number of the simultaneously usable threads.
4. The method of claim 3, further comprising:
in response to a target event upgrading instruction, determining an upgrading event type of an upgraded target event;
when no analysis thread with an available state matched with the upgrading event type exists in the analysis thread group, determining the number of analysis threads corresponding to the upgrading event type according to the fixed number and the quantity of the simultaneously available threads;
creating analysis threads with the number of the analysis threads corresponding to the upgrading event type;
setting the state of the analysis threads with the analysis thread number corresponding to the upgrade event type as an available state;
and upgrading the analysis thread group based on the analysis threads with the analysis thread number corresponding to the upgrade event type in the available state.
5. The method of claim 1, further comprising:
when the target analysis thread analyzes the target monitoring video, setting the state of the target analysis thread to be an available state;
and clearing the target analysis thread.
6. The method according to any one of claims 1 to 5, wherein the identification resolution request further comprises monitoring backend interface information and monitoring frontend identification information; the analyzing the target monitoring video by using the target analysis thread in the unavailable state comprises:
and controlling the target analysis thread in an unavailable state to load the running parameters corresponding to the monitoring front-end identification information so that the target analysis thread executes the running parameters according to the monitoring rear-end interface information.
7. A video monitoring apparatus, the apparatus comprising:
a request receiving module configured to execute an identification parsing request for receiving a target surveillance video, the identification parsing request including a target event type of the target surveillance video;
a thread selection module configured to execute candidate parsing threads determined to be available from a set of pre-constructed parsing threads;
a thread selection module configured to execute selecting a target analysis thread corresponding to the target event type from the candidate analysis threads;
a switching module configured to perform setting of a state of the target resolution thread to an unavailable state;
and the analysis module is configured to analyze the target monitoring video by utilizing the target analysis thread in the unavailable state.
8. A computer readable storage medium storing instructions/executable code which, when executed by a processor of an electronic device, causes the electronic device to implement the method of any of claims 1-6.
9. A cloud server, characterized in that the cloud server comprises a processor, a machine-readable storage medium, and a network interface, the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is used for being connected with at least one video monitoring terminal in a communication manner, the machine-readable storage medium is used for storing programs, instructions, or codes, and the processor is used for executing the programs, instructions, or codes in the machine-readable storage medium to execute the video monitoring method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202110533730.8A CN113206985A (en) | 2021-05-17 | 2021-05-17 | Video monitoring method and device and cloud server |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110533730.8A CN113206985A (en) | 2021-05-17 | 2021-05-17 | Video monitoring method and device and cloud server |
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| CN113206985A true CN113206985A (en) | 2021-08-03 |
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| CN202110533730.8A Withdrawn CN113206985A (en) | 2021-05-17 | 2021-05-17 | Video monitoring method and device and cloud server |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113660499A (en) * | 2021-08-23 | 2021-11-16 | 天之翼(苏州)科技有限公司 | Thermodynamic diagram generation method and system based on video data |
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2021
- 2021-05-17 CN CN202110533730.8A patent/CN113206985A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113660499A (en) * | 2021-08-23 | 2021-11-16 | 天之翼(苏州)科技有限公司 | Thermodynamic diagram generation method and system based on video data |
| CN113660499B (en) * | 2021-08-23 | 2023-08-18 | 天之翼(苏州)科技有限公司 | Thermodynamic diagram generation method and system based on video data |
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