Patents Assigned to Behavioral Recognition Systems
  • Background model for complex and dynamic scenes
    Patent number: 8358834
    Abstract: Techniques are disclosed for learning and modeling a background for a complex and/or dynamic scene over a period of observations without supervision. A background/foreground component of a computer vision engine may be configured to model a scene using an array of ART networks. The ART networks learn the regularity and periodicity of the scene by observing the scene over a period of time. Thus, the ART networks allow the computer vision engine to model complex and dynamic scene backgrounds in video.
    Type: Grant
    Filed: August 18, 2009
    Date of Patent: January 22, 2013
    Assignee: Behavioral Recognition Systems
    Inventors: Wesley Kenneth Cobb, Ming-Jung Seow, Tao Yang
  • Visualizing and updating learned trajectories in video surveillance systems
    Patent number: 8280153
    Abstract: Techniques are disclosed for visually conveying a trajectory map. The trajectory map provides users with a visualization of data observed by a machine-learning engine of a behavior recognition system. Further, the visualization may provide an interface used to guide system behavior. For example, the interface may be used to specify that the behavior recognition system should alert (or not alert) when a particular trajectory is observed to occur.
    Type: Grant
    Filed: August 18, 2009
    Date of Patent: October 2, 2012
    Assignee: Behavioral Recognition Systems
    Inventors: Wesley Kenneth Cobb, Bobby Ernest Blythe, David Samuel Friedlander, Rajkiran Kumar Gottumukkal, Ming-Jung Seow, Gang Xu