Patents by Inventor Robin Seibold

Robin Seibold 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).

  • Artificial neural network class-based pruning
    Patent number: 10552737
    Abstract: Methods and apparatus, including computer program products, implementing and using techniques for configuring an artificial neural network to a particular surveillance situation. A number of object classes characteristic for the surveillance situation are selected. The object classes form a subset of the total number of object classes for which the artificial neural network is trained. A database is accessed that includes activation frequency values for the neurons within the artificial neural network. The activation frequency values are a function of the object class. Those neurons having activation frequency values lower than a threshold value for the subset of selected object classes are removed from the artificial neural network.
    Type: Grant
    Filed: December 21, 2017
    Date of Patent: February 4, 2020
    Assignee: Axis AB
    Inventors: Robin Seibold, Jiandan Chen, Hanna Björgvinsdóttir, Martin Ljungqvist
  • ARTIFICIAL NEURAL NETWORK CLASS-BASED PRUNING
    Publication number: 20180181867
    Abstract: Methods and apparatus, including computer program products, implementing and using techniques for configuring an artificial neural network to a particular surveillance situation. A number of object classes characteristic for the surveillance situation are selected. The object classes form a subset of the total number of object classes for which the artificial neural network is trained. A database is accessed that includes activation frequency values for the neurons within the artificial neural network. The activation frequency values are a function of the object class. Those neurons having activation frequency values lower than a threshold value for the subset of selected object classes are removed from the artificial neural network.
    Type: Application
    Filed: December 21, 2017
    Publication date: June 28, 2018
    Applicant: Axis AB
    Inventors: Robin Seibold, Jiandan Chen, Hanna Björgvinsdóttir, Martin Ljungqvist