Patents by Inventor Jocelyn Rivero

Jocelyn Rivero has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230368519
    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.
    Type: Application
    Filed: July 25, 2023
    Publication date: November 16, 2023
    Inventors: Leah ANDERSON, Mark MONTOYA, Andrew ELDER, Alisa LE, Ezra ZIGMOND, Jocelyn RIVERO
  • Patent number: 11710305
    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.
    Type: Grant
    Filed: November 9, 2021
    Date of Patent: July 25, 2023
    Assignee: Palantir Technologies Inc.
    Inventors: Leah Anderson, Mark Montoya, Andrew Elder, Alisa Le, Ezra Zigmond, Jocelyn Rivero
  • Publication number: 20220067448
    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.
    Type: Application
    Filed: November 9, 2021
    Publication date: March 3, 2022
    Inventors: Leah Anderson, Mark Montoya, Andrew Elder, Alisa Le, Ezra Zigmond, Jocelyn Rivero
  • Patent number: 11170268
    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.
    Type: Grant
    Filed: November 8, 2019
    Date of Patent: November 9, 2021
    Assignee: Palantir Technologies Inc.
    Inventors: Leah Anderson, Mark Montoya, Andrew Elder, Alisa Le, Ezra Zigmond, Jocelyn Rivero
  • Publication number: 20210097349
    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.
    Type: Application
    Filed: November 8, 2019
    Publication date: April 1, 2021
    Inventors: Leah Anderson, Mark Montoya, Andrew Elder, Alisa Le, Ezra Zigmond, Jocelyn Rivero