• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    Video surveillance system based on analysis of sequences of images generated by events. The invention relates to a video surveillance system based on analysis of sequences generated by events, comprising: one or more sensors (1) configured to receive information from an environment subject to surveillance; an event activation module (2) connected to the sensors (1), configured for reading, analyzing and processing the information received by the sensors (1), as well as for defining events associated with one or more threshold values of said information received by the sensors (1); one or more video cameras (3), connected to the event activation module (2) and configured by said module (2) to control them; and one or more video capturers (4), configured to record and store the information captured by the cameras (3) during one or more sequences associated with the events defined by the activation module (2). (Machine-translation by Google Translate, not legally binding)
    公开号:ES2636832A1
    申请号:ES201730169
    申请日:2017-02-13
    公开日:2017-10-09
    发明作者:Eduardo Cermeño Mediavilla；Rafael GIL DE MIGUEL；Ana Pérez Fernández
    申请人:VAELSYS FORMACION Y DESARROLLO SL；
    IPC主号:
    专利说明:

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    In another preferred embodiment of the invention, the verification device comprises a graphic video playback interface, and / or information associated with the classification criteria or threshold applied by the event activation module to a human user.
    In another preferred embodiment of the invention, the system comprises a learning subsystem configured with hardware or software means, to establish criteria for classifying sequences, based on results obtained in previous events.
    DESCRIPTION OF THE FIGURES
    10 Figure 1 shows, for illustrative and non-limiting purposes, a scheme of the main elements of the video surveillance system of the invention, according to a preferred embodiment thereof.
    15 NUMERICAL REFERENCES USED IN THE FIGURES
    In order to help a better understanding of the technical characteristics of the invention, the aforementioned Figures are accompanied by a series of numerical references where, for illustrative and non-limiting purposes, the following is represented:
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    (one) Sensors
    (2) Event Activation Module
    (3) Video-cameras
    (4) Captors
    (5) Server
    (6) Communications network
    (7) Automatic or manual verification device
    (8) Learning subsystem
    (9) Human user
    DETAILED DESCRIPTION OF THE INVENTION
    A detailed description of the invention, referring to a preferred embodiment thereof shown in Figure 1, is set forth below. As shown in said
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    The learning subsystem (9) can be connected to the verification device (7), being remotely connected to the sensors (1), the event activation module (2), the video cameras (3), and / or video capturers (4).
    Finally, the system of the invention can comprise a complementary video demand module connected to the server (5), which allows analyzing a video sequence corresponding to that initially detected by the cameras (3) but at a different resolution (preferably higher) that analyzed by said server (5). Nowadays it is common to find cameras (3) that offer two or more video streams with different resolutions. The system of the invention, having its sensors (1) and the processing server (5) decoupled, allows working with video sequences that represent the same, but in multiple resolutions. This may allow applying classifiers on high resolution sequences, therefore on more information. This is especially important for certain types of classifiers, which require a more detailed analysis.
    An example of the implementation of the system of the invention is, for example, the filtering of false alarms in video surveillance for perimeter protection. For this, a local team of intelligent cameras (3) with VAT (“intelligent video analysis”) functionality is used, with the aim of detecting movement or presence in the monitored perimeter. In practice, this type of system has problems with situations such as sudden light changes, heavy rain, occlusions or camera problems (3) (flickering image). All these types of situations generate false alarms that are received at an alarm receiving center (or CRA). For example, in the case of a day of heavy rain in a certain area, for a local CRA it can involve hundreds of alarms activated per hour, being in fact false positives. The present invention would allow a user (8) or CRA operator, through the use of humidity detectors as sensors (1), to check for anomalous sequences that exceed a certain humidity threshold, and label these false positives as “rain alarm ”, So that the system automatically learns and classifies them thanks to the learning subsystem (9). Thanks to this classification, the operator can choose to ignore future alarms or treat them with less priority than other types of alarms. The example of rain is very common, but so are objects in the foreground, such as a fly or a bird. Being very close to the camera (3), these objects appear as huge elements. The invention also allows us to rule out this type of false positives, without incurring a large consumption of processing resources.
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    权利要求:
    Claims (1)
    [1]
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    同族专利:
    公开号 | 公开日
    ES2636832B1|2018-04-24|
    引用文献:
    公开号 | 申请日 | 公开日 | 申请人 | 专利标题
    US20120147192A1|2009-09-01|2012-06-14|Demaher Industrial Cameras Pty Limited|Video camera system|
    US9064394B1|2011-06-22|2015-06-23|Alarm.Com Incorporated|Virtual sensors|
    US20140347478A1|2013-05-27|2014-11-27|Center For Integrated Smart Sensors Foundation|Network camera using hierarchical event detection and data determination|
    US20150237310A1|2014-02-14|2015-08-20|Metalligence Technology Corporation|Security System and Method Thereof|
    法律状态:
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    优先权:
    申请号 | 申请日 | 专利标题
    ES201730169A|ES2636832B1|2017-02-13|2017-02-13|VIDEO SURVEILLANCE SYSTEM BASED ON ANALYSIS OF SEQUENCES OF PICTURES GENERATED BY EVENTS|ES201730169A| ES2636832B1|2017-02-13|2017-02-13|VIDEO SURVEILLANCE SYSTEM BASED ON ANALYSIS OF SEQUENCES OF PICTURES GENERATED BY EVENTS|
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