Please use this identifier to cite or link to this item: http://hdl.handle.net/1880/45418
Title: OSCILLATING MODELS FOR PERCEPTION OF HUMAN MOTION
Authors: Boyd, Jeffrey E.
Keywords: Computer Science
Issue Date: 13-Feb-2003
Abstract: There are two fundamentally different approaches to machine analysis of human motion: model-based, that use a high-level kinematic model, and model-free, that use low-level representations of the motion. Although each approach has its advantages, there is currently a perceptual gap between the two. This paper describes a new type of kinematic model that enables us to bridge the perceptual gap. The model is the perceptual equivalent of passive mechanical models that walk without any control mechanism. Thus the model not only describes the linkages in a kinematic chain, it also has an innate resonance that is a gait. If we introduce control to force the model to synchronize with low-level oscillations perceived in a video sequence, the result is a gait model that resonates with an observed gait. We describe a system that demonstrates this new model and the connection between the model-free and model-based representations.
URI: http://hdl.handle.net/1880/45418
Appears in Collections:Boyd, Jeffery

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