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VideoTrack
3D
Motion capture by fitting a kinematic body model
VideoTrack 3D is a new optical motion capture
approach that is suitable for a wide range of studies in
neuroethology and motor control. Based on the stochastic search
algorithm of Simulated Annealing, it utilizes a kinematic
body model that includes joint angle constraints to reconstruct
posture from an arbitrary number of views.
Rather than tracking
marker trajectories in time, the algorithm minimizes an error
function that compares predicted model projections to the recorded
views. Thus, each video-frame is analysed independently from other
frames, enabling the system to recover from incorrectly analysed
postures. The system works with standard computer and video
equipment.
3D-movement reconstruction is possible even from a single
view. This is reached in spite of marker fusions and occlusions,
simply by exploiting the natural contraints imposed by a kinematic
chain and a known experimental setup.
Full publication:
Zakotnik J, Matheson T, Dürr V (2004)
A posture optimization algorithm for model-based motion capture of movement sequences
Journal of Neuroscience Methods, Vol 135/1-2, pp 43-54 (.pdf)
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