US 8,620,028 B2 · Behavioral recognition system

Behavioral recognition system

AssigneeBehavioral Recognition Systems, Inc.

InventorsJohn Eric Eaton, Wesley Kenneth Cobb, Dennis Gene Urech, Bobby Ernest Blythe, David Samuel Friedlander, Rajkiran Kumar Gottumukkal, Lon William Risinger, Kishor Adinath Saitwal, Ming-Jung Seow, David Marvin Solum, Gang Xu, Tao Yang

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Abstract

Embodiments of the present invention provide a method and a system for analyzing and learning behavior based on an acquired stream of video frames. Objects depicted in the stream are determined based on an analysis of the video frames. Each object may have a corresponding search model used to track an object's motion frame-to-frame. Classes of the objects are determined and semantic representations of the objects are generated. The semantic representations are used to determine objects' behaviors and to learn about behaviors occurring in an environment depicted by the acquired video streams. This way, the system learns rapidly and in real-time normal and abnormal behaviors for any environment by analyzing movements or activities or absence of such in the environment and identifies and predicts abnormal and suspicious behavior based on what has been learned.

Claims24

Dependent claims

A method for processing video image data, the method comprising:

identifying, by operation of one or more processors, one or more objects depicted in a sequence of video frames capturing a scene;
generating, from the sequence of video frames, a plurality of information streams characterizing one or more of the identified objects;
and
generating, from the plurality of information streams, by a machine learning engine, one or more object classifications to assign to objects depicted in the sequence of video frames, wherein the machine learning engine is configured to derive patterns of behavior engaged in by objects having a common object classification and to identify instances of the patterns of behavior engaged in by objects depicted in the sequence of video frames as said instances occur.

1 more element

Dependencies are inferred from the claim text.

Facts

Application

13/413,549Filed 6 Mar 2012 · continuation

Priority

8 Feb 2007

Published

US 2012/0163670 A128 Jun 2012

Granted

31 Dec 2013

Term ends

Not estimatedThe source records don’t support an estimate.

Classification5 codes

G06V 20/52
Context or environment of the image: surveillance or monitoring of activities, e.g. for recognising suspicious objects
G08B 13/19608
Image analysis to detect motion of the intruder, e.g. by frame subtraction: tracking movement of a target, e.g. by detecting an object predefined…
G08B 13/19613
Image analysis to detect motion of the intruder, e.g. by frame subtraction: recognition of a predetermined image pattern or behaviour pattern…
G06V
Image and video recognition

Family

Application60/888,777Us provisional application · filed 8 Feb 2007

Application12/028,484Parent of this continuation · filed 8 Feb 2008

US 2012/0163670 A1Pre-grant publication · published 28 Jun 2012

US 8,131,012 B2Parent of this continuation

US 2008/0193010 A1Published application

US 8,620,028 B2This patent

From the US filing history. Foreign family members aren’t listed.