×

Detecting anomalous events using a long-term memory in a video analysis system

  • US 8,126,833 B2
  • Filed: 12/16/2008
  • Issued: 02/28/2012
  • Est. Priority Date: 09/11/2008
  • Status: Active Grant
First Claim
Patent Images

1. A computer-implemented method for detecting anomalous events using a long- term memory in a video analysis system configured to observe patterns of behavior depicted in a sequence of video frames, comprising:

  • receiving an active percept, wherein the active percept comprises a sub-graph of a neural network excited by a semantic symbol stream, wherein the semantic symbol stream describes objects depicted in the sequence of video frames;

    querying the long-term memory using the active percept as an input stimulus;

    receiving, in response to the querying, a retrieved percept from the long-term memory and an occurrence frequency (F) of the retrieved percept, wherein the retrieved percept encodes a pattern of behavior previously observed by the video analysis system;

    determining a distance (d) between the active percept and the retrieved percept; and

    upon determining the distance (d) exceeds a specified threshold, publishing an alert notification indicating the occurrence of an anomalous event, as represented by the active percept.

View all claims
  • 6 Assignments
Timeline View
Assignment View
    ×
    ×