Discriminative motion modeling for human motion tracking

Details Discriminative motion modeling for human motion tracking Discriminative motion modeling for human motion tracking

2006-10-26

2010-06-01

Pappas, Peter-Anthony (Department: 2628)

Computer graphics processing and selective visual display system

Computer graphics processing

Animation

Reexamination Certificate

active

07728839

ABSTRACT:
A system and method recognizes and tracks human motion from different motion classes. In a learning stage, a discriminative model is learned to project motion data from a high dimensional space to a low dimensional space while enforcing discriminance between motions of different motion classes in the low dimensional space. Additionally, low dimensional data may be clustered into motion segments and motion dynamics learned for each motion segment. In a tracking stage, a representation of human motion is received comprising at least one class of motion. The tracker recognizes and tracks the motion based on the learned discriminative model and the learned dynamics.

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