WO2017213585A1 - Appareil de surveillance vidéo - Google Patents

Appareil de surveillance vidéo Download PDF

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Publication number
WO2017213585A1
WO2017213585A1 PCT/SG2017/050281 SG2017050281W WO2017213585A1 WO 2017213585 A1 WO2017213585 A1 WO 2017213585A1 SG 2017050281 W SG2017050281 W SG 2017050281W WO 2017213585 A1 WO2017213585 A1 WO 2017213585A1
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WO
WIPO (PCT)
Prior art keywords
video
analytic system
parameters
request
processing
Prior art date
Application number
PCT/SG2017/050281
Other languages
English (en)
Inventor
Syan Paul WANG
Tian Tian Dorothy NG
Original Assignee
Arkemis Pte Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Arkemis Pte Ltd filed Critical Arkemis Pte Ltd
Priority to SG11201810490PA priority Critical patent/SG11201810490PA/en
Publication of WO2017213585A1 publication Critical patent/WO2017213585A1/fr

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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
    • H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • 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]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/21—Server components or server architectures
    • H04N21/218—Source of audio or video content, e.g. local disk arrays
    • H04N21/2187—Live feed
    • 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]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/231—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
    • 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]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
    • H04N21/23418—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics
    • 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
    • H04N21/47—End-user applications
    • H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
    • H04N21/47202—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for requesting content on demand, e.g. video on demand

Definitions

  • the present invention relates to a video surveillance apparatus.
  • VMS video management systems
  • VAS video analytic systems
  • Video analytic operations performed by the VAS take into considerations the configuration and make of video cameras, lighting conditions (under which videos are recorded by the cameras) and video frame rates (of the recorded videos). Conventionally, once a VAS has established an optimum analytic outcome for a certain configuration of a camera in concern, and the operating environment (in which the camera is deployed), the camera is then deemed “trained” and associated parameters of the VAS related to that configuration are considered finalised. Those parameters may be termed as VAObject.
  • VMS/VAS is unable to dynamically adapt to factors in a changing environment, e.g. a change of video source resulting in corresponding change to environment and thus settings applicable to the camera.
  • processing speed of some VAS may not synchronise with frame rates configured for the cameras, resulting in gaps in the video analysis.
  • the usual practice adopted by operators tend to be not to expand across VMS/VAS to mix and match video sources with different analytic capabilities for deployment in demanding operating conditions.
  • VMS Video analytic
  • One object of the present invention is therefore to address at least one of the problems of the prior art and/or to provide a choice that is useful in the art.
  • a video surveillance apparatus which comprises a transceiver module configured to receive a request from a user, the request includes a set of request parameters having at least a first identifier associated to a video analytic system, a second identifier associated to a video source, and a set of service level parameters related to processing at least one video recorded by the video source, in which the video analytic system, video source and apparatus are communicatively coupled to one another via a network; a retrieval module configured to retrieve operating parameters of the video analytic system from a database, based on the first and second identifiers; and a controller module configured to calculate data related to a number of computing client instances to be spawned by the video analytic system for processing the video based on the service level parameters, the spawned computing client instances to be identically configured based on the operating parameters.
  • the controller module is further configured to operatively transmit the request parameters, the data and the operating parameters to the video analytic system via the
  • the proposed apparatus enables integration of various video sources and various video analytic capabilities (in the context of video surveillance) to provide effective interventions and countermeasures that can help to prevent, deter and enforce operating procedures in a cost effective and sustainable manner.
  • the video source may be at least one of a video camera and a video management system.
  • the video recorded by the video camera may be stored on the video management system.
  • the request parameters may be digitally provided by the user through a selection interface of a submission form provided by the apparatus.
  • the database may be hosted locally on the apparatus or hosted remotely on a directory server.
  • the service level parameters may include a first parameter related to a time range determined by the user for processing at least a segment of the video, and a second parameter related to a computing speed determined by the user for processing the video.
  • the video analytic system may be configured to determine and identify features related to at least one of an object, a person and behaviour associated with the object and/or person recorded in the video.
  • the apparatus may further include an activity auditing module configured to record the request and associated data generated by the apparatus from processing the request as auditing records.
  • results related to processing of the video may be transmitted by the video analytic system to the apparatus or to the user.
  • the video analytic system may include an interface module configured to communicate with the apparatus to receive the data and retrieved operating parameters transmitted by the apparatus.
  • the video analytic system may be configured to retrieve the video from the video source using the interface module, based on the second identifier in the request parameters received from the apparatus.
  • the at least first identifier may include a plurality of identifiers associated to respective video analytic systems.
  • the directory server may be configured to store respective databases of information data pertaining to users, video analytic systems, video management systems, and cameras registered with the apparatus.
  • the controller module may be further arranged to authenticate and validate access control rights of the users to the video analytic systems, video management systems, and cameras, and wherein the access control rights determine whether requests submitted by the users to the apparatus are accepted or rejected.
  • a video surveillance apparatus which includes a transceiver module, a retrieval module, and a controller module.
  • the method comprises: (i) receiving a request by the transceiver module from a user, the request includes a set of request parameters having at least a first identifier associated to a video analytic system, a second identifier associated to a video source, and a set of service level parameters related to processing at least one video recorded by the video source, in which the video analytic system, video source and apparatus are communicatively coupled to one another via a network; (ii) retrieving operating parameters of the video analytic system by the retrieval module from a database, based on the first and second identifiers; (iii) calculating data by the controller module, the data related to a number of computing client instances to be spawned by the video analytic system for processing the video based on the service level parameters, the spawned computing client instances to be identically configured based on the operating parameters; and (iv) transmitting the request parameters, the data and the operating parameters by the controller module via the transceiver module to the video analytic system to
  • a video surveillance system comprising: at least one video analytic system; at least one video source; a video surveillance apparatus which includes: a transceiver module configured to receive a request from a user, the request includes a set of request parameters having at least a first identifier associated to the video analytic system, a second identifier associated to the video source, and a set of service level parameters related to processing at least one video recorded by the video source, in which the video analytic system, video source and apparatus are communicatively coupled to one another via a network; a retrieval module configured to retrieve operating parameters of the video analytic system from a database, based on the first and second identifiers; and a controller module configured to calculate data related to a number of computing client instances to be spawned by the video analytic system for processing the video based on the service level parameters, the spawned computing client instances to be identically configured based on the operating parameters.
  • the controller module is further configured to operative
  • the system may further comprise a directory server, wherein the database is hosted locally on the apparatus or hosted remotely on the directory server.
  • the video source may be at least one of a video camera and a video management system.
  • a video surveillance system which comprises a video surveillance apparatus, at least one video analytic system, and at least one video source, in which the video analytic system, video source and apparatus are communicatively coupled to one another via a network, the video surveillance apparatus includes a transceiver module, a retrieval module, and a controller module.
  • the method comprises: (i) receiving a request by the transceiver module from a user, the request includes a set of request parameters having at least a first identifier associated to the video analytic system, a second identifier associated to the video source, and a set of service level parameters related to processing at least one video recorded by the video source; (ii) retrieving operating parameters of the video analytic system by the retrieval module from a database, based on the first and second identifiers; (iii) calculating data by the controller module, the data related to a number of computing client instances to be spawned by the video analytic system for processing the video based on the service level parameters, the spawned computing client instances to be identically configured based on the operating parameters; and (iv) transmitting the request parameters, the data and the operating parameters by the controller module via the transceiver module to the video analytic system to enable processing of the video.
  • FIG. 1 is a schematic diagram of a video surveillance system, according to an embodiment.
  • FIG. 2 is a flow diagram of a method performed by a video surveillance apparatus in the system of FIG. 1 for registering users, video analytic systems, video management systems, and cameras with the apparatus.
  • FIG. 3 is a flow diagram of a method performed by the video surveillance apparatus in the system of FIG. 1 for processing a request received from a user.
  • FIG. 4 is a flow diagram of a method performed by the system of FIG. 1 for processing the request received from the user.
  • FIG. 5 shows an example of some entries in the VAObjects information. Detailed Description of Preferred Embodiments
  • the apparatus 1 10 may include the following modules: a security policy enforcement service module 1 1 1 , an element enrolment service module 1 12, a VMS/VAS scheduling service module 1 13, a computing client provision service module 1 14, a service level agreement management service module 1 15, a component authentication service module 1 16, an encryption service module 1 17, an activity audit service module 1 18, a reporting service module 1 19, a transceiver module, a retrieval module, and a controller module.
  • the controller module is the top-level module that controls all the other listed modules 1 1 1 -1 19. It is to be noted that the transceiver module, retrieval module, and controller module are not shown in FIG. 1.
  • the apparatus 1 10 broadly includes: the transceiver module, retrieval module, and controller module.
  • the transceiver module is configured to receive a (service) request from a user 170, in which the request includes a set of request parameters having at least a first identifier associated to the video analytic system 150, a second identifier associated to the video source 140, and a set of service level parameters related to processing at least one video recorded by the video source 140.
  • the request and any associated data generated by the apparatus 1 10 from processing the request may be recorded by the activity auditing module 1 18 as auditing records. Also, all transactional activities performed by the apparatus 1 10 are logged by the activity auditing module 1 18 for auditing purposes too.
  • the retrieval module is configured to retrieve operating parameters of the video analytic system 150 from a database 125 (i.e.
  • the controller module is configured to calculate data related to a number of computing client instances to be locally spawned by the video analytic system 150 for processing the video based on the service level parameters.
  • the spawned computing client instances are to be identically configured based on the operating parameters.
  • the controller module instructs the computing client provision service module 1 14 to make the necessary calculations to obtain the data.
  • the controller module is further configured to operatively transmit the request parameters, the data and the operating parameters to the video analytic system 150 (via the transceiver module) to enable processing of the video.
  • the request parameters are digitally provided by the user 170 through a selection interface on a request submission form provided by the apparatus 1 10.
  • the request submission form is accessible locally on the apparatus 1 10 or remotely on a computing device (e.g. a laptop) operated by the user 170.
  • the definition of the at least first identifier includes a plurality of identifiers associated to respective video analytic systems 150. That is, the user 170 is permitted to select/specify multiple video analytic systems 150, if desired, depending on the types of video analytic capabilities required for analysing the video.
  • the database 125 is hosted remotely on a directory server 120, but need not be so, i.e. the database 125 can also be hosted on the apparatus 1 10, if necessary.
  • the directory server 120 is configured to also store respective databases of information data pertaining to users 170, video analytic systems 150, video management systems 141 , and cameras 142 that are registered with the apparatus 110.
  • the respective databases include user access policy 121 , user information 122 (which stores roles of users 170), video sources system information 123, and video analytic system information 124.
  • Multiple directory servers 120 can also be deployed, depending on needs of a deployment scenario.
  • the controller module is further arranged to authenticate and validate access control rights of the users 170 to the video analytic systems 150, video management systems 141 , and cameras 142, wherein the access control rights determine whether requests submitted by the users 170 to the apparatus 1 10 are accepted or rejected.
  • the apparatus 1 10 determines the access control rights via the security policy enforcement service module 11 1 , according to the user access policy 121 , in conjunction with the user information 122, geo-location of the video sources 140 (retrieved from the video sources system information 123), and the video analytic system information 124. It is to be appreciated that the access control rights are stored in the user access policy 121 on the directory server 120.
  • the service level parameters include a tirst parameter related to a time range determined by the user 170 for processing at least a segment of the video, and a second parameter related to a computing speed determined by the user 170 for processing the video.
  • the user 170 can select a video segment (by specifying the time range) within the video to be processed.
  • the user 170 can select a preference (by specifying the computing speed/time) as to whether he 170 wishes a detailed analysis or a cost effective processing (i.e. quick) of the video to be performed by the video analytic system 150.
  • the video analytic system 150 is configured to determine and identify features related to at least one of an object(s), a person(s) and behaviour associated with the object and/or person recorded in the video.
  • the video analytic system 150 is arranged with a face-detection-and- recognition engine 151 , an objection-classification engine 152, a license-plate- recognition engine 153, and a behavioural-detection engine 154 (although it will be understood that this list is not exhaustive).
  • the video analytic system 150 is arranged with an interface module 133 (also known as a video analytic adapter) to enable bilateral communication with the apparatus 1 10.
  • an interface module 133 also known as a video analytic adapter
  • the interface module 132 for the video camera 142 is known as a camera adapter
  • the interface module 131 for the video management system 141 is known as a video management system adapter.
  • the interface modules 131 , 132, 133 may be termed as programmable grid adapters 130.
  • the interface modules 131 , 132, 133 may be implemented as software plugins.
  • the VMS/VAS scheduling service module 113 (as instructed by the controller module), which communicates with the associated interface modules 131 , 133.
  • the apparatus 110 is able to transmit (service) requests to the video analytic system 150 and/or direct video streams from the video sources 140 to the video analytic system 150 dynamically.
  • the video analytic system 150, video source 140 and apparatus 1 10 communicate with one another on the network 160 through the programmable grid adapters 130.
  • the apparatus 1 10 shows a method 200 performed by the apparatus 1 10 for registering users 170, video analytic systems 150, video management systems 141 , and/or cameras 142 with the apparatus 1 10.
  • the process of registering is also termed element enrolment, which is handled by the element enrolment service module 1 12, and component authentication service module 1 16, in conjunction with the directory server 120. Any communications between the apparatus 1 10 and the directory server 120 are encrypted with a strong cryptographic scheme handled by the encryption service module 1 17.
  • the element enrolment service module 1 12 enables management of the VAObjects information 125, i.e. VAObjects are trained video analytic configurations (i.e. parameters) for the cameras 142, with reference to conditions of respective targeted environments/locations the cameras 142 are deployed in.
  • VAObject is conceptualised as a digital container for a set of video analytic parameters for a particular video analytic system 150 - in implementation, "VAObject" is assigned a unique variable name that refers to a specific digital file that stores a plurality of different training parameters for said particular analytic system 150. So, the method 200 is executed to capture video analytic parameters of a video analytic system 150 trained in usage with a specific combination of video management system 141 and associated camera(s) 142.
  • Each combination of video analytic system 150, video management system 141 and camera 142 are then represented and recorded as a tuple entry (VASJD, VMSJD, CameraJD, VAObject) in the VAObjects information 125.
  • a video analytic system 150 is first selected for enrolment, and at step 210, a camera 142 (which is required) is then selected.
  • a video management system 141 (associated with the camera 142 selected at step 210) is next selected. It is to be appreciated that the video analytic system 150, camera 142, and video management system 141 selected at steps 205-215 are presumed to all have been pre-authenticated with the apparatus 1 10.
  • step 220 video analytic parameters of the selected video analytic system 150 optimised for analysing video(s) recorded by the selected camera 142, and video management system 141 (under a deployment environment) are extracted and uploaded as a tuple entry to the VAObjects information 125.
  • the apparatus 110 logs (using the activity auditing module 1 18) the activities carried out in steps 205-220 for audit purposes.
  • FIG. 3 depicts a corresponding method 300 performed by the apparatus 1 10 for processing a request received from a user 170.
  • the method 300 comprises: at step 302, receiving the request by the transceiver module from the user 170, the request includes a set of request parameters having at least a first identifier associated to a video analytic system 150, a second identifier associated to a video source 140, and a set of service level parameters related to processing at least one video recorded by the video source 140; at step 304, retrieving operating parameters of the video analytic system 150 by the retrieval module from the database 124, based on the first and second identifiers; at step 306, calculating data by the controller module, the data related to a number of computing client instances to be spawned by the video analytic system 150 for processing the video based on the service level parameters, the spawned computing client instances to be identically configured based on the operating parameters; and at step 308, transmitting the request parameters, the data and the operating parameters by the controller module via the
  • FIG. 4 shows a method 400 performed by the system 100 for processing the request received from the user 170 - this is distinguished from the method 300 of FIG. 3, which instead explains processing the request from the perspective of the apparatus 1 10.
  • a user 170 locally/remotely logins to the apparatus 1 10 using a multi-modal authentication method (e.g. 2-factor authentication).
  • the apparatus 110 loads a request submission form, which includes the selection interface, for the user 170 to fill in.
  • the user 170 selects (via the selection interface) a desired video analytic system 150 to use, depending on what video analytic abilities the user 170 wishes to deploy for analysing a (type of) video(s) (he has in mind).
  • the user 170 selects (via the selection interface) desired video source(s) 140 from which the video(s) to analyse may be obtained.
  • desired video source(s) 140 from which the video(s) to analyse may be obtained.
  • the preferences made at steps 406-410 form the request parameters.
  • the apparatus 1 10 proceeds to retrieve operating parameters of the selected video analytic system 150 from the database 125, using the request parameters.
  • the user 170 provides (on the request submission form) a time range corresponding to a video segment of the video(s) that is to be analysed (i.e. time of incidence in the video(s) the user 170 has interest in).
  • the user 170 selects (via the selection interface) a preference relating to a desired computing speed for processing the video(s) (i.e. to have fast throughput or cost effective operation).
  • the preferences selected at steps 412-414 may be handled by the service level agreement management service module 115, as controlled by the controller module. Collectively, the preferences made at steps 412-414 form the service level parameters.
  • the user 170 submits the request submission form to the apparatus 110.
  • the interface module 133 is arranged to instantiate the video analytic system 150 to spawn the necessary computing client instances with the correct configurations.
  • the selected video analytic system 150 communicates with the selected video source(s) 140 to retrieve the video(s) for processing - the communication is carried out by the interface module 133 of the video analytic system 150 with the interface modules 131 , 132 of the video management system 141 and/or camera 142.
  • the spawned computing client instances are activated (by the video analytic system 150) to start processing and analysing the retrieved video(s).
  • results related to analysis of the video(s) are made available to the user 170, as instructed by the reporting service module 1 19.
  • a user 170 wishes to submit a request to analyse videos from cameras 142: "Camera X" and “Camera Y".
  • the video analytic systems 150 to be applied to analyse the videos are “AFace” and "BFace”, in which a time of within two hours is expected to complete the analysis.
  • the user 170 selects "AFace” and "BFace” at step 406.
  • videos recorded by "Camera X” and “Camera Y" are stored in video management system 141 : “VMS_V” and “VMS_W” respectively.
  • the VAObjects associated with "AFace”, and "BFace” store respective training parameters. It is to be appreciated that during the enrolment of a particular video analytic system 150, say "AFace”, the user 170 would have trained the cameras that are suitable to apply “AFace” to them, and respective training parameters are stored in different VAObjects. This would be similar for "BFace” - see table 500 of FIG. 5. Following on, the user 170 selects the video sources 140 (i.e. "VMS_V”, “VMS_W”, “Camera X”, and “Camera Y”) (at steps 408-410).
  • VMS_V video sources 140
  • VAObjects and video analytic parameters
  • the respective VAObjects may be retrieved from the VAObjects information 125: "AFace_CamX_TrainData”, “BFace_Camx_TrainData”, “AFace_CamY_TrainData”, and
  • BFace_CamY_TrainData For brevity, discussions of steps 414-418 in relation to this example are skipped. Thereafter, (i.e. at step 420) the apparatus 1 10 calculates data for a number of computing client instances for each of "AFace” and "BFace” that are required to complete analysis of the videos recorded by "Camera X" and “Camera Y” (but stored in “VMS_V” and "VMS_W”).
  • the apparatus 100 then instructs each of "AFace” and "BFace” to spawn the calculated number of computing client instances required to meet the "two hours” analysis timeline (i.e. at step 424).
  • the respective VAObjects i.e. the video analytic parameters
  • the computing client instances spawned by "AFace” will be identically configured based on "AFace_CamX_TrainData”.
  • each of "AFace”, and “BFace” communicates with “VMS_V”, and "VMS_W” (in relation to “Camera X", and “Camera Y") to retrieve the necessary videos for processing (at step 426).
  • the system 100 beneficially integrates features and functionality of various video management systems and video analytic capabilities into a comprehensive city-wide video surveillance platform to assist prevention, enforcement, and mitigation of security incidences, thereby reducing associated costs for the surveillance along with improving the capability to increase overall effectiveness of the surveillance required.
  • the system 100 is arranged to manage elements to be added into the network 160.
  • the elements refer to the video source(s) 140, video analytic engine(s) 150, grid adapter(s) 130, the apparatus 1 10, and the directory server 120.
  • the video management system(s) 141 and video analytic system(s) can be integrated into the network 160, thereby allowing the apparatus 1 10 to transmit (service) requests and/or direct video streams to the available resources dynamically.
  • This apparatus 1 10 also determines the access control rights of the users 170, as afore explained.
  • the system 100 enables management of the VAObjects as well.
  • the system 100 allows the users 170 to specify desired video sources 140 and specific video analytic capabilities to be applied on demand or be executed in batch mode.
  • the apparatus 1 10 dynamically provisions a number of computing client instances (to be spawned by a video analytic system 150 selected by a user 170) for processing a video.
  • the apparatus 1 10 also allows addition or removal of computation resources for the video analytic system 150. By catering to different service levels required by respective users 170 for processing videos, the apparatus 100 enables the users 170 to choose a preference for fast throughput or cost effective operation.

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  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
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Abstract

L'invention concerne un appareil de surveillance vidéo (110) comprenant un module émetteur-récepteur configuré pour recevoir une demande d'un utilisateur (170), la demande contenant un ensemble de paramètres de demande comportant au moins un premier identifiant associé à un système analytique de vidéo (150), un deuxième identifiant associé à une source de vidéo (140), et un ensemble de paramètres de niveau de service associé au traitement d'au moins une vidéo enregistrée par la source de vidéo, le système analytique de vidéo, la source de vidéo et l'appareil étant accouplés en communication les uns aux autres par l'intermédiaire d'un réseau (160) ; un module de récupération servant à récupérer des paramètres de fonctionnement du système analytique de vidéo auprès d'une base de données (125), en fonction des premier et deuxième identifiants ; et un module de commande servant à calculer des données concernant à un certain nombre d'instances de clients de calcul devant être créées par le système analytique de vidéo pour traiter la vidéo en fonction des paramètres de niveau de service, les instances de client de calcul créées devant être configurées de manière identique en fonction des paramètres de fonctionnement et transmettre les paramètres de demande, les données et les paramètres de fonctionnement au système analytique de vidéo par l'intermédiaire du module émetteur-récepteur pour permettre le traitement de la vidéo.
PCT/SG2017/050281 2016-06-06 2017-06-02 Appareil de surveillance vidéo WO2017213585A1 (fr)

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SG11201810490PA SG11201810490PA (en) 2016-06-06 2017-06-02 Video surveillance apparatus

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SG10201604567SA SG10201604567SA (en) 2016-06-06 2016-06-06 System and method for integrating heterogenous video sources and video analytic services into a video surveillance grid to achieve sustainable operations
SG10201604567S 2016-06-06

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