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Summary: Lehrstuhl für Informatik 8
EINLADUNG
Zeit: Dienstag, 15.12., 16.00 Uhr
Ort: UMIC 025, Mies-van-der-Rohe Strasse 15
Referent: Prof. David J. Fleet, PhD
Department of Computer Science
University of Toronto
Titel: Physics-Based Models for Human Motion Analysis
Abstract:
The recovery and analysis of human motion from video is a key enabling technology
for myriad applications (e.g., in man-machine interaction, computer graphics, biome-
trics, and biomechanics). Many are confident that the problem will be solved, in part
with the help of models for how people move. Current state-of-the-art models are
usually learned from human motion capture data, but there are questions about
whether such models will work well in unconstrained situations.
In this talk we advocate a new class of models, derived in part from principles of
Newtonian dynamics and biomechanics. We describe two examples of such models:
The first, inspired by low-dimensional passive-dynamic models of human locomotion,
was designed for monocular tracking of walking people. The second uses physical
principles to facilitate the inference of human muscle forces and one's interactions
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