US 7,036,094 B1Granted

Behavior recognition system

AssigneeCybernet Systems Corporation

InventorsCharles J. Cohen, Glenn Beach, Brook Cavell, Gene Foulk, Charles J. Jacobus, Jay Obermark, George Paul

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Abstract

A system for recognizing various human and creature motion gaits and behaviors is presented. These behaviors are defined as combinations of “gestures” identified on various parts of a body in motion. For example, the leg gestures generated when a person runs are different than when a person walks. The system described here can identify such differences and categorize these behaviors. Gestures, as previously defined, are motions generated by humans, animals, or machines. Where in the previous patent only one gesture was recognized at a time, in this system, multiple gestures on a body (or bodies) are recognized simultaneously and used in determining behaviors. If multiple bodies are tracked by the system, then overall formations and behaviors (such as military goals) can be determined.

Claims20

Dependent claims

A method of behavior recognition, comprising the steps of:

storing a dynamic motion model composed of a set of differential equations, each differential equation describing a particular dynamic gesture to be recognized of the form:
{dot over (x)}=f(x,θ)
where x is vector describing position and velocity components, and θ is a tunable parameter;
capturing the motion to be recognized along with the tunable parameters associated with a gesture-making target;
extracting the position and velocity components of the captured motion;
and
identifying the dynamic gesture by determining which differential equation is solved using the extracted components and the tunable parameters;
designating one or more predefined behaviors;
comparing the identified gesture to one of the predefined behaviors;
and
in the event of a correlation between the gesture and the particular predefined behavior, determining that the behavior of the target includes the particular gesture.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 09/540,461Filed 31 Mar 2000 · continuation in part
Priority: 10 Aug 1998
Granted: 25 Apr 2006
Term ends: Not estimatedThe source records don’t support an estimate.

Classification5 codes

G06F 3/017
Input arrangements or combined input and output arrangements for interaction between user and computer: gesture based interaction, e.g. based on a…
G06V 40/25
Recognition of whole body movements, e.g. for sport training: recognition of walking or running movements, e.g. gait recognition
G06V 40/28
Movements or behaviour, e.g. gesture recognition: recognition of hand or arm movements, e.g. recognition of deaf sign language
G06F
Computing and data processing

Family

Application60/096,126Us provisional application · filed 10 Aug 1998
Application60/127,510Us provisional application · filed 2 Apr 1999
Application09/371,460Parent of this continuation-in-part · filed 10 Aug 1999
US 6,681,031 B2Parent of this continuation-in-part
US 2003/0138130 A1Published application
US 7,036,094 B1This patent

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