Patents by Inventor Ryan Crabb

Ryan Crabb 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).

  • Method of and system for hierarchical human/crowd behavior detection
    Patent number: 8195598
    Abstract: The present invention is directed to a computer automated method of selectively identifying a user specified behavior of a crowd. The method comprises receiving video data but can also include audio data and sensor data. The video data contains images a crowd. The video data is processed to extract hierarchical human and crowd features. The detected crowd features are processed to detect a selectable crowd behavior. The selected crowd behavior detected is specified by a configurable behavior rule. Human detection is provided by a hybrid human detector algorithm which can include Adaboost or convolutional neural network. Crowd features are detected using textual analysis techniques. The configurable crowd behavior for detection can be defined by crowd behavioral language.
    Type: Grant
    Filed: November 17, 2008
    Date of Patent: June 5, 2012
    Assignee: Agilence, Inc.
    Inventors: Wei Hua, Xiangrong Chen, Ryan Crabb, Juwei Lu, Jonathan Cook
  • Method of and system for hierarchical human/crowd behavior detection
    Publication number: 20090222388
    Abstract: The present invention is directed to a computer automated method of selectively identifying a user specified behavior of a crowd. The method comprises receiving video data but can also include audio data and sensor data. The video data contains images a crowd. The video data is processed to extract hierarchical human and crowd features. The detected crowd features are processed to detect a selectable crowd behavior. The selected crowd behavior detected is specified by a configurable behavior rule. Human detection is provided by a hybrid human detector algorithm which can include Adaboost or convolutional neural network. Crowd features are detected using textual analysis techniques. The configurable crowd behavior for detection can be defined by crowd behavioral language.
    Type: Application
    Filed: November 17, 2008
    Publication date: September 3, 2009
    Inventors: Wei Hua, Xiangrong Chen, Ryan Crabb, Jonathan Cook, Juwei Lu