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公开(公告)号：US20240312027A1
公开(公告)日：2024-09-19
申请号：US18581644
申请日：2024-02-20
Applicant: Palantir Technologies Inc.
Inventor： Aleksandr Patsekin , Ben Radford , Cameron Derwin , Daniel Marasco , Di Wang , Dimitrios Lymperopoulos , Elliot Kang , Keun Jae Kim , Matthew Betten , Matthew Fedderly , Michel Goraczko , Peng Lei , Prasanna Srikhanta , Rodney LaLonde , Steven Fackler , Tong Shen , Xin Li , Yue Wu
IPC: G06T7/246
CPC classification number: G06T7/248 , G06T2207/10016
Abstract: In some examples, systems and methods for object tracking are provided. For example, a method includes: receiving an image frame in a sequence of image frames; identifying an object of interest in the image frame using a single-object tracker (SOT) based upon one or more templates associated with the object of interest in a template repository; generating a SOT output based on the identified object of interest; and detecting one or more objects in the image frame using a multiple-object tracker (MOT). In some examples, the MOT including a machine-learning model. In some examples, the method further includes conducting a matching between the SOT output and each detected object of the one or more detected objects to generate a match result; and generating a tracker output based at least in part on the SOT output, the one or more detected objects, and the match result.
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公开(公告)号：US20240303831A1
公开(公告)日：2024-09-12
申请号：US18583045
申请日：2024-02-21
Applicant: Palantir Technologies Inc.
Inventor： Aleksandr Patsekin , Ben Radford , Cameron Derwin , Daniel Marasco , Di Wang , Dimitrios Lymperopoulos , Elliot Kang , Keun Jae Kim , Matthew Betten , Matthew Fedderly , Michel Goraczko , Peng Lei , Prasanna Srikhanta , Rodney LaLonde , Steven Fackler , Tong Shen , Xin Li , Yue Wu
IPC: G06T7/246
CPC classification number: G06T7/248 , G06T2207/10016 , G06T2207/20104
Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving a first image frame of a sequence of image frames, performing object detection using an object tracker to identify an object of interest in the first image frame, based upon one or more templates associated with the object of interest in a template repository, outputting a first indicator associated with a first image portion corresponding to the identified object of interest, and receiving a user input associated with the object of interest. In some examples, the user input indicates an identified image portion in the image frame. In some examples, the method further includes generating a retargeted template, based at least in part on the identified image portion, and determining a second image portion associated with the object of interest in a second image frame of the sequence of image frames using the object tracker, based at least in part on the retargeted template. In some examples, the second image frame is after the first image frame in the sequence of image frames, and the second image portion is different from the first image portion.
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Patent Agency Ranking
公开(公告)号：US20240338830A1
公开(公告)日：2024-10-10
申请号：US18625961
申请日：2024-04-03
Applicant: Palantir Technologies Inc.
Inventor： Aleksandr Patsekin , Ben Radford , Daniel Marasco , Dimitrios Lymperopoulos , Keun Jae Kim , Michel Goraczko , Prasanna Srikhanta , Rodney LaLonde , Tong Shen , Xin Li , Yue Wu , Cameron Derwin , Di Wang
IPC: G06T7/20
CPC classification number: G06T7/20
Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving a first image frame in a sequence of image frames, performing object tracking using an object tracker to identify a first object of interest and a second object of interest in the first image frame based at least in part on one or more first templates associated with the first object of interest, one or more second templates associated with the second object of interest, and a spatial relationship between the first object of interest and the second object of interest, outputting a first indicator associated with a first image portion corresponding to the identified first object of interest, and outputting a second indicator associated with a second image portion corresponding to the identified second object of interest.
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公开(公告)号：US20240098367A1
公开(公告)日：2024-03-21
申请号：US17889650
申请日：2022-08-17
Applicant: Palantir Technologies Inc.
Inventor： Aleksandr Patsekin , Jay Harshadbhai Patel
CPC classification number: H04N5/23267 , B64C39/024 , G06K9/6276 , G06T7/35 , G06T7/38 , G06T15/06 , G06V20/17 , G06V20/46 , B64C2201/127 , G06T2207/10016 , G06T2207/10032 , G06V2201/10
Abstract: A computing system and methods are provided for georeferencing stabilization. An exemplary method includes: obtaining a video stream capturing an area from a camera of a drone, where the video stream includes a plurality of frames, each including a field of view of the image capturing device and metadata of the image capturing device when the frame is captured; constructing a geographic (geo) lattice for the field of view in each of the plurality of frames, the geo lattice comprises a plurality of points, each being associated with raw coordinates determined based on the corresponding metadata; and building a lattice map with stabilized geo coordinates by (1) aligning the frames, (2) averaging the raw geo coordinates for given intersection points, and (3) building the lattice map based on the averaged geo coordinates of the intersection points.
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公开(公告)号：US20240362798A1
公开(公告)日：2024-10-31
申请号：US18647042
申请日：2024-04-26
Applicant: Palantir Technologies Inc.
Inventor： Joseph Adam Driscoll , Aleksandr Patsekin , Ben Radford , Daniel Marasco , Dimitrios Lymperopoulos , Ethan Van Andel , Keun Jae Kim , Mary Cameron , Michel Goraczko , Miles Sackler , Prasanna Srikhanta , Rodney LaLonde , Stephen Ramsey , Tong Shen , Xin Li , Yue Wu , Cameron Derwin
IPC: G06T7/20 , G06T3/4038 , G06T7/70 , G06V10/20 , G06V10/82
CPC classification number: G06T7/20 , G06T3/4038 , G06T7/70 , G06V10/255 , G06V10/82
Abstract: In some examples, systems and methods for multiple-sensor object tracking are provided. For example, a method includes: receiving a first sensor feed and a second sensor feed from a plurality of sensors respectively. The first sensor feed includes a set of first images. The second sensor feed includes a set of second images. In some examples, the method further includes generating an image transformation based on at least one first image in the set of first images and at least one second image in the set of second images, applying the image transformation to the set of second images, aggregating the set of first images and the set of transformed second images to generate a set of aggregated images, and applying a multiple object tracking model to the set of aggregated images to identify a plurality of objects.
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公开(公告)号：US20240296671A1
公开(公告)日：2024-09-05
申请号：US18581106
申请日：2024-02-19
Applicant: Palantir Technologies Inc.
Inventor： Aleksandr Patsekin , Ben Radford , Cameron Derwin , Daniel Marasco , Di Wang , Dimitrios Lymperopoulos , Keun Jae Kim , Michel Goraczko , Peng Lei , Prasanna Srikhanta , Rodney LaLonde , Tong Shen , Xin Li , Yue Wu
CPC classification number: G06V10/987 , G06V10/761 , G06V10/945
Abstract: In some examples, systems and methods for user-assisted object detection are provided. For example, a method includes: receiving an input image, and performing object detection by a software detector to identify a set of detected objects. The software detector includes a machine-learning model. The method further includes outputting one or more indicators of the set of detected objects. Each detected object in the set of detected objects is associated with a confidence level. The method further includes receiving a user input; identifying a template including an image portion associated with the user input; determining a similarity metric between the template and an object in the set of detected objects; modifying a confidence level of the object based at least in part on the determined similarity metric; and generating an output including an indicator of the object based at least in part on the modified confidence level.
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公开(公告)号：US20240037766A1
公开(公告)日：2024-02-01
申请号：US18226601
申请日：2023-07-26
Applicant: Palantir Technologies Inc.
Inventor： Joseph Driscoll , Aleksandr Patsekin , Ethan Van Andel , Mary Cameron , Miles Sackler , Robert Imig , Stephen Ramsey
IPC: G06T7/33 , G06F16/532 , G06T7/73 , G06T7/37
CPC classification number: G06T7/337 , G06F16/532 , G06T7/74 , G06T7/37 , G06T2207/10032
Abstract: Systems and methods for video georegistration are provided. An example method includes: receiving an input image; generating a plurality of templates from the input image; and generating a template queue based at least in part on the plurality of template scores. The plurality of templates are associated with a plurality of template scores. The template queue includes a set of selected templates. The method further includes receiving one or more reference images; determining a set of match scores for the set of selected templates by applying a matching algorithm to the set of selected templates and at least one reference image of the one or more reference images; evaluating the set of match scores to select a collection of templates, and generating an image transform based at least in part on the collection of templates. Each template of the collection of templates meets one or more selection criteria.
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