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公开(公告)号:US20240290098A1
公开(公告)日:2024-08-29
申请号:US18113175
申请日:2023-02-23
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Gaowen LIU , Ozkan KILIC , Adam James LAWRENCE , Ramana Rao V. R. KOMPELLA
CPC classification number: G06V20/48 , G06V10/462 , G06V10/757
Abstract: In one embodiment, a device represents each of a plurality of objects depicted in video data captured by a plurality of cameras over time as a set of key points associated with that object. The device forms, for each of the plurality of objects, a set of timeseries of the set of key points associated with that object. The device performs reidentification of a particular one of the plurality of objects across video data captured by two or more of the plurality of cameras by matching sets of timeseries of key points associated with that object derived from video data captured by two or more of the plurality of cameras. The device provides an indication of the reidentification for display to a user.
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公开(公告)号:US20240233377A9
公开(公告)日:2024-07-11
申请号:US17971268
申请日:2022-10-21
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Ozkan Kilic , Adam James Lawrence , Gaowen Liu , Ramana Rao V. R. Kompella
Abstract: In one embodiment, a device represents spatial characteristics over time of an object in video data as one or more timeseries. The device detects an event based on a rate of change of behavioral regimes associated with different portions of the one or more timeseries. The device selects contextual data for the event that comprises spatial timeseries information for different types of objects or different activities. The device provides an alert for the event to a user interface regarding the event that includes the contextual data.
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公开(公告)号:US20240135546A1
公开(公告)日:2024-04-25
申请号:US17971259
申请日:2022-10-20
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Ozkan KILIC , Adam James LAWRENCE , Gaowen LIU , Ramana Rao V. R. KOMPELLA
CPC classification number: G06T7/20 , G06V20/41 , G06T2207/10016 , G06T2207/30196 , G06T2207/30232 , G06V2201/08
Abstract: In one embodiment, a device tracks an object in video data captured by one or more cameras. The device represents spatial characteristics of the object over time as one or more timeseries. The device associates different portions of the one or more timeseries with behavioral regimes of the object. The device provides a portion of the video data for display as part of an alert that is based on a rate of change of transitions between the behavioral regimes of the object.
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公开(公告)号:US20220351521A1
公开(公告)日:2022-11-03
申请号:US17860962
申请日:2022-07-08
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Enzo FENOGLIO , David Delano WARD , Guillaume Sauvage DE SAINT MARC , Carole GRIDLEY
Abstract: In one embodiment, a video analysis service receives video data captured by one or more cameras at a particular location. The service applies a neural network-based model to portions of the video data, to identify objects within the video data. The service maps outputs of the neural network-based model to symbols using a conceptual space. The outputs of the model comprise the identified objects. The service applies a symbolic reasoning engine to the symbols, to generate an alert. The service sends the alert to a user interface in conjunction with the video data.
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公开(公告)号:US20210279615A1
公开(公告)日:2021-09-09
申请号:US17173380
申请日:2021-02-11
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Ozkan Kilic , Ramana Rao V. R. Kompella , Myungjin Lee , Simon Matthew Young
Abstract: In one embodiment, a device maintains a metamodel that describes a monitored system. The metamodel comprises a plurality of layers ranging from a sub-symbolic space to a symbolic space. The device tracks updates to the metamodel over time. The device updates the metamodel based in part on sub-symbolic time series data generated by the monitored system. The device receives, from a learning agent, a request for the updates to a particular layer of the metamodel associated with a specified time period. The device provides, to the learning agent, data indicative of one or more updates to the particular layer of the metamodel associated with the specified time period.
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公开(公告)号:US10742678B2
公开(公告)日:2020-08-11
申请号:US15891749
申请日:2018-02-08
Applicant: Cisco Technology, Inc.
Inventor: Manikandan Kesavan , Plamen Nedeltchev , Hugo Latapie , Enzo Fenoglio
Abstract: In one embodiment, a security device maintains a plurality of security enclaves for a computer network, each associated with a given level of security policies. After detecting a given device joining the computer network, the security device places the given device in a strictest security enclave of the plurality of security enclaves in response to joining the computer network. The security device then subjects the given device to joint adversarial training, where a control agent representing behavior of the given device is trained against an inciting agent, and where the inciting agent attempts to force the control agent to misbehave by applying destabilizing policies. Accordingly, the security device may determine control agent behavior during the joint adversarial training, and promotes the given device to a less strict security enclave of the plurality of enclaves in response to the control agent being robust against the attempts by the inciting agent.
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公开(公告)号:US20200218751A1
公开(公告)日:2020-07-09
申请号:US16819783
申请日:2020-03-16
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Enzo Fenoglio , Andre Surcouf , Joseph T. Friel , Pete Rai
IPC: G06F16/36 , H04L12/24 , G06F16/33 , G06F16/9535
Abstract: A method comprises collecting, by a computing device located at an edge of a network, data items corresponding to information transmitted by endpoints using the network, generating, by the computing device, a probabilistic hierarchy using the data items, generating, by the computing device using the probabilistic hierarchy and natural language data, a similarity metric, generating, by the computing device using the probabilistic hierarchy, the natural language data, and the similarity metric, an ontology, detecting, by the computing device using the ontology, an anomaly, and in response to detecting the anomaly, sending a notification.
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公开(公告)号:US20250086971A1
公开(公告)日:2025-03-13
申请号:US18243819
申请日:2023-09-08
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Enzo FENOGLIO , Viktoriya V. TSUKANOVA , Ramana Rao V. R. KOMPELLA , Joost BOTTENBLEY , Chiara TROIANI , Ali PAYANI , Johanna Wylie Lanier HARDY , Jayanth SRINIVASA
IPC: G06V20/40 , G06V10/774
Abstract: In one implementation, a device receives a request to generate a set of video clips that depict a specified classification label. The device represents each of one or more objects depicted in a particular video clip over time as a set of timeseries of key points associated with that object. The device makes a determination as to whether the particular video clip depicts the specified classification label by analyzing the set of timeseries of key points associated with the particular video clip and in accordance with one or more constraint parameters. The device labels, based on the determination, the particular video clip with the specified classification label for inclusion in the set of video clips that depict the specified classification label.
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公开(公告)号:US20230196063A1
公开(公告)日:2023-06-22
申请号:US17557734
申请日:2021-12-21
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Ozkan Kilic , Adam James Lawrence , Gaowen Liu , Andrew Albert Pletcher
IPC: G06N3/04
CPC classification number: G06N3/04
Abstract: In one embodiment, a device obtains data regarding generation of an artificial intelligence model. The device analyzes the data using a neuro-symbolic metamodel, to match the data to one or more concepts of a knowledge graph of the neuro-symbolic metamodel. The device makes one or more inferences about the artificial intelligence model, by applying a semantic reasoning engine to the one or more concepts of the knowledge graph. The device causes, based on the one or more inferences, generation of a replacement artificial intelligence model for the artificial intelligence model.
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公开(公告)号:US20230094800A1
公开(公告)日:2023-03-30
申请号:US17486365
申请日:2021-09-27
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Ozkan Kilic , Adam James Lawrence , Gaowen Liu , Angelo Fienga , Enrico Albertin , Hazim Hashim Dahir
Abstract: In one embodiment, a device receives sensor data from a plurality of sensors. The device detects, using a semantic reasoning engine, a disruption to a first shipment based on the sensor data. The device infers, using the semantic reasoning engine, that one or more other shipments are related to the first shipment. The device initiates a mitigation action for the disruption that is performed with respect to the one or more other shipments.
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