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公开(公告)号：US20230045218A1
公开(公告)日：2023-02-09
申请号：US17958721
申请日：2022-10-03
Applicant: Palantir Technologies Inc.
Inventor： Nicholas Morgan , Dylan Howell , Ezra Zigmond , John Garrod , Katherine Brainard , Praveen Kumar Ramalingam
IPC: H04N21/2343 , H04N21/4402 , H04N21/44
Abstract: Systems and methods are provided for obtaining a set of images representing a view of a geographic region to be compressed, the set of images including a first image and a second image. A first image file can be generated based on the set of images, wherein the first image is encoded in a first color channel associated with the image file, and wherein the second image is encoded in a second color channel associated with the image file. A video file can be generated based at least in part on the image file. The video file can be provided to a client device over one or more computer networks.
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公开(公告)号：US20210097349A1
公开(公告)日：2021-04-01
申请号：US16679092
申请日：2019-11-08
Applicant: Palantir Technologies Inc.
Inventor： Leah Anderson , Mark Montoya , Andrew Elder , Alisa Le , Ezra Zigmond , Jocelyn Rivero
Abstract: Described herein are systems, methods, and non-transitory computer readable media for validating or rejecting automated detections of an entity being tracked within an environment in order to generate a track representative of a travel path of the entity within the environment. The automated detections of the entity may be generated by an artificial intelligence (AI) algorithm. The track may represent a travel path of the tracked entity across a set of image frames. The track may contain one or more tracklets, where each tracklet includes a set of validated detections of the entity across a subset of the set of image frames and excludes any rejected detections of the entity. Each tracklet may also contain one or more user-provided detections in scenarios in which the tracked entity is observed or otherwise known to be present in an image frame but automated detection of the entity did not occur.
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公开(公告)号：US20250131706A1
公开(公告)日：2025-04-24
申请号：US19001315
申请日：2024-12-24
Applicant: Palantir Technologies Inc.
Inventor： Leah ANDERSON , Mark Montoya , Andrew Elder , Alisa Le , Ezra Zigmond , Jocelyn Rivero
IPC: G06V10/94 , G06F18/21 , G06F18/214 , G06V10/774 , G06V20/52
Abstract: Described herein are systems, methods, and non-transitory computer readable media for validating or rejecting automated detections of an entity being tracked within an environment in order to generate a track representative of a travel path of the entity within the environment. The automated detections of the entity may be generated by an artificial intelligence (AI) algorithm. The track may represent a travel path of the tracked entity across a set of image frames. The track may contain one or more tracklets, where each tracklet includes a set of validated detections of the entity across a subset of the set of image frames and excludes any rejected detections of the entity. Each tracklet may also contain one or more user-provided detections in scenarios in which the tracked entity is observed or otherwise known to be present in an image frame but automated detection of the entity did not occur.
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Patent Agency Ranking
公开(公告)号：US20210398322A1
公开(公告)日：2021-12-23
申请号：US16903926
申请日：2020-06-17
Applicant: Palantir Technologies Inc.
Inventor： Nicholas Morgan , Dylan Howell , Ezra Zigmond , John Garrod , Katherine Brainard
Abstract: Systems and methods are provided for obtaining a set of images representing a view of a geographic region to be compressed, the set of images including a first image and a second image. A first image file can be generated based on the set of images, wherein the first image is encoded in a first color channel associated with the image file, and wherein the second image is encoded in a second color channel associated with the image file. A video file can be generated based at least in part on the image file. The video file can be provided to a client device over one or more computer networks.
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公开(公告)号：US12205364B2
公开(公告)日：2025-01-21
申请号：US18226141
申请日：2023-07-25
Applicant: Palantir Technologies Inc.
Inventor： Leah Anderson , Mark Montoya , Andrew Elder , Alisa Le , Ezra Zigmond , Jocelyn Rivero
IPC: G06K9/62 , G06F18/21 , G06F18/214 , G06K9/00 , G06V10/774 , G06V10/94 , G06V20/52
Abstract: Described herein are systems, methods, and non-transitory computer readable media for validating or rejecting automated detections of an entity being tracked within an environment in order to generate a track representative of a travel path of the entity within the environment. The automated detections of the entity may be generated by an artificial intelligence (AI) algorithm. The track may represent a travel path of the tracked entity across a set of image frames. The track may contain one or more tracklets, where each tracklet includes a set of validated detections of the entity across a subset of the set of image frames and excludes any rejected detections of the entity. Each tracklet may also contain one or more user-provided detections in scenarios in which the tracked entity is observed or otherwise known to be present in an image frame but automated detection of the entity did not occur.
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公开(公告)号：US20220067448A1
公开(公告)日：2022-03-03
申请号：US17522470
申请日：2021-11-09
Applicant: Palantir Technologies Inc.
Inventor： Leah Anderson , Mark Montoya , Andrew Elder , Alisa Le , Ezra Zigmond , Jocelyn Rivero
Abstract: Described herein are systems, methods, and non-transitory computer readable media for validating or rejecting automated detections of an entity being tracked within an environment in order to generate a track representative of a travel path of the entity within the environment. The automated detections of the entity may be generated by an artificial intelligence (AI) algorithm. The track may represent a travel path of the tracked entity across a set of image frames. The track may contain one or more tracklets, where each tracklet includes a set of validated detections of the entity across a subset of the set of image frames and excludes any rejected detections of the entity. Each tracklet may also contain one or more user-provided detections in scenarios in which the tracked entity is observed or otherwise known to be present in an image frame but automated detection of the entity did not occur.
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公开(公告)号：US11710305B2
公开(公告)日：2023-07-25
申请号：US17522470
申请日：2021-11-09
Applicant: Palantir Technologies Inc.
Inventor： Leah Anderson , Mark Montoya , Andrew Elder , Alisa Le , Ezra Zigmond , Jocelyn Rivero
IPC: G06K9/62 , G06K9/00 , G06V10/94 , G06V20/52 , G06F18/21 , G06F18/213 , G06F18/214 , G06V10/774
CPC classification number: G06V10/945 , G06F18/213 , G06F18/2148 , G06F18/2178 , G06V10/774 , G06V20/53
Abstract: Described herein are systems, methods, and non-transitory computer readable media for validating or rejecting automated detections of an entity being tracked within an environment in order to generate a track representative of a travel path of the entity within the environment. The automated detections of the entity may be generated by an artificial intelligence (AI) algorithm. The track may represent a travel path of the tracked entity across a set of image frames. The track may contain one or more tracklets, where each tracklet includes a set of validated detections of the entity across a subset of the set of image frames and excludes any rejected detections of the entity. Each tracklet may also contain one or more user-provided detections in scenarios in which the tracked entity is observed or otherwise known to be present in an image frame but automated detection of the entity did not occur.
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公开(公告)号：US11170268B2
公开(公告)日：2021-11-09
申请号：US16679092
申请日：2019-11-08
Applicant: Palantir Technologies Inc.
Inventor： Leah Anderson , Mark Montoya , Andrew Elder , Alisa Le , Ezra Zigmond , Jocelyn Rivero
Abstract: Described herein are systems, methods, and non-transitory computer readable media for validating or rejecting automated detections of an entity being tracked within an environment in order to generate a track representative of a travel path of the entity within the environment. The automated detections of the entity may be generated by an artificial intelligence (AI) algorithm. The track may represent a travel path of the tracked entity across a set of image frames. The track may contain one or more tracklets, where each tracklet includes a set of validated detections of the entity across a subset of the set of image frames and excludes any rejected detections of the entity. Each tracklet may also contain one or more user-provided detections in scenarios in which the tracked entity is observed or otherwise known to be present in an image frame but automated detection of the entity did not occur.
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