‘Recognizing problems in movement coordination’

Recognizing Head Movement

Previous studies have provided logical representations and eÆcient recognition algorithms for a simple kind of \minimalist grammars." This paper extends these grammars with head movement (\incorporation") and aÆx hopping. The recognition algorithms are elaborated for these grammars, and logical perspectives are brie y considered. Michaelis (1998) showed how the derivations of a simple kind of m...

Recognizing Movement using Motion

In this paper, we present a real-time computer vision approach to recognizing human movements based on patterns of motion. The underlying representation is a Motion History Image (MHI) which is characterized by multiple histograms of the local motion orientations. The approach is adapted to accommodate movements of diierent durations by using a simple iterative technique. Quantitative results a...

Movement Coordination

Recognizing people from their movement.

Human observers demonstrate impressive visual sensitivity to human movement. What defines this sensitivity? If motor experience influences the visual analysis of action, then observers should be most sensitive to their own movements. If view-dependent visual experience determines visual sensitivity to human movement, then observers should be most sensitive to the movements of their friends. To ...

Recognizing Probabilistic Opponent Movement Models

In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated soccer domain. The planning is centralized, but the plans are executed in a multi-agent environment, with teammate and opponent agents. Further, we present a recognition algorithm where the model which most closely matches...