-
公开(公告)号：US20240267492A1
公开(公告)日：2024-08-08
申请号：US18434490
申请日：2024-02-06
摘要： A video management system (VMS) including a recording server configured for receiving and storing a plurality of data streams and respective metadata streams, each data stream being supplied by, or associated with, respective ones of a plurality of streaming devices;
a processing unit configured to receive data via a data communication interface, and further configured to:
responsive to a trigger event, select a streaming device of the plurality of streaming devices, where the selected streaming device is associated with the trigger event,
obtain position data associated with the selected streaming device, and
determine a textual position description based on the position data of the selected streaming device at a time associated with the trigger event, wherein the textual position description describing a geographical position in a natural human language form with a common language syntax,
wherein the VMS is configured to provide the textual position description.-
公开(公告)号：US20240265704A1
公开(公告)日：2024-08-08
申请号：US18434130
申请日：2024-02-06
IPC分类号： G06V20/52 , G06F16/783 , G06F16/787 , G06T7/20 , G06T7/70
CPC分类号： G06V20/52 , G06F16/7837 , G06F16/787 , G06T7/20 , G06T7/70
摘要： The present disclosure generally relates to video surveillance systems and optionally computer-implemented video management methods for video surveillance systems. A video management system may be configured to dynamically calculate the Field-of-View (FOV) of a video camera using Geographic Information System (GIS) data.
-
3.发明公开公开(公告)号：US20240112468A1
公开(公告)日：2024-04-04
申请号：US18476109
申请日：2023-09-27
发明人： Zenjie LI , Kamal NASROLLAHI
IPC分类号： G06V20/52 , G06T7/70 , G06V10/25 , G06V10/764 , G06V20/40
CPC分类号： G06V20/52 , G06T7/70 , G06V10/25 , G06V10/764 , G06V20/44 , G06V2201/07
摘要： A computer implemented method for identifying an event by processing video surveillance data from a video camera having a field of view uses a trained machine learning algorithm to detect a person in the video surveillance data and determine the location of the person in the field of view. A trained machine learning algorithm is used to classify a posture of the detected person and a detection zone within the field of view around the location of the detected person is defined. A trained machine learning algorithm is used to search for an object of a predetermined type overlapping the detection zone. An event is identified based on the posture detection and the result of the object detection.
-
公开(公告)号：US11924404B2
公开(公告)日：2024-03-05
申请号：US17606734
申请日：2020-09-17
CPC分类号： H04N17/002 , G06T7/80 , H04N7/181 , H04N23/617 , H04N23/66 , H04N23/72
摘要： A method for setting a parameter value of a first video source device comprises:
determining a first set of image characteristic values from an image captured by the first video source device configured with a first set of parameter values;
obtaining a second set of image characteristic values generated from an image captured by a second video source device different from the first video source device, the second video source device being configured with a second set of parameter values;
determining if the obtained second set of image characteristic values comprises values equivalent to values of the determined first set of image characteristic values; and if there are equivalent values, setting the parameter value of the first video source device using the second set of image characteristic values.-
5.发明申请公开(公告)号：US20220236625A1
公开(公告)日：2022-07-28
申请号：US17606721
申请日：2020-09-17
发明人： Johann CITERIN , Romain BELLESSORT
摘要： A method for setting parameters values of a video source device comprising obtaining a value of an image characteristic for a current image generated by the video source device set with initial parameters values; determining a satisfaction level for the image characteristic of the current image based on the obtained value, the satisfaction level representing a probability to fulfil a task; obtaining a set of candidates, a candidate being defined as a set of parameters values; for each candidate, predicting an evolution of the satisfaction level for the image characteristic relatively to the satisfaction level determined while the video source device is set with the initial parameters values; selecting a candidate based on its predicted evolution of the satisfaction level; setting the parameters values of the video source device using the set of parameters values of the selected candidate.
-
公开(公告)号：US20240267491A1
公开(公告)日：2024-08-08
申请号：US18434025
申请日：2024-02-06
IPC分类号： H04N7/18 , G06F16/735 , G06F16/738 , G06V10/94 , G06V20/40 , G06V20/52
CPC分类号： H04N7/181 , G06F16/735 , G06F16/738 , G06V10/945 , G06V20/40 , G06V20/52 , G06V2201/10
摘要： The present disclosure generally relates to video surveillance systems and optionally computer-implemented video management methods for video surveillance systems. A video management system may be configured to display search results of a plurality of video streams as respective thumbnails on a geo-map at respective positions of the search results within a surveillance area.
-
公开(公告)号：US20240214583A1
公开(公告)日：2024-06-27
申请号：US18545935
申请日：2023-12-19
IPC分类号： H04N19/172
CPC分类号： H04N19/172
摘要： A video surveillance system comprising an operator client including a system memory, a plurality of display devices for displaying video data and resources for decoding of encoded video data for display, including a plurality of GPUs, wherein each of the display devices is connected to a graphics output port of one of the GPUs. A load distribution module is configured to send a stream of encoded video data to one of the decoding resources by determining a first display device the stream of video data is to be displayed after decoding, and sending the stream of video data to a first GPU for decoding and display on the selected display device, wherein the first GPU is connected to the first display device, unless the first GPU is overloaded. If the first GPU is overloaded, the load distribution module sends the stream of video data to a second GPU for decoding.
-
公开(公告)号：US20240119737A1
公开(公告)日：2024-04-11
申请号：US18483191
申请日：2023-10-09
发明人： Zenjie LI , Kamal NASROLLAHI
CPC分类号： G06V20/52 , G06N5/02 , G06V20/44 , G06V2201/07
摘要： A computer-implemented method of video surveillance comprising the steps of: querying a knowledge graph representing a plurality of video cameras as ontology entities connected by edges, in order to identify, based on a first video camera providing a first video stream that can be fed to at least one first application program to obtain first analytics data, one or more second video cameras which can each provide a respective second video stream; and identifying, based on the first application program and/or based on the first analytics data, at least one second application program that can be fed with at least one second video stream to obtain second analytics data.
-
公开(公告)号：US20230081908A1
公开(公告)日：2023-03-16
申请号：US17929995
申请日：2022-09-06
发明人： Kamal NASROLLAHI
摘要： A method of training a machine learning algorithm to identify objects or activities in video surveillance data comprises generating a 3D simulation of a real environment from video surveillance data captured by at least one video surveillance camera installed in the real environment. Objects or activities are synthesized within the simulated 3D environment and the synthesized objects or activities within the simulated 3D environment are used as training data to train the machine learning algorithm to identify objects or activities, wherein the synthesized objects or activities within the simulated 3D environment used as training data are all viewed from the same viewpoint in the simulated 3D environment.
-
10.发明授权公开(公告)号：US11594114B2
公开(公告)日：2023-02-28
申请号：US17136808
申请日：2020-12-29
发明人： Mathias Normann , Tong Su
IPC分类号： G06F16/732 , G08B13/196 , G06N5/02
摘要： A computer-implemented method of generating a video stream recommendation comprises identifying a plurality of peripheral devices monitoring zones of a physical area, the peripheral devices comprising a plurality of video cameras providing video streams of at least some of the monitored zones. The method further comprises querying a knowledge graph representing the peripheral devices and the monitored zones as ontology entities connected by edges representing physical paths between the monitored zones, and by edges representing which monitored zones the peripheral devices monitor, in order to identify a set of one or more video camera(s) monitoring zones other than a selected monitored zone, as a result of the querying. The method then comprises generating a video stream recommendation based on the result of the querying.
-
-
-
-
-
-
-
-
-
搜索结果
29 条记录 (耗时 0.019 秒)
