Behavior recognition system
First Claim
1. 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.
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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.
440 Citations
20 Claims
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1. 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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification