Articulated body motion capture by annealed particle filtering
Deutscher, J.; Blake, A.; Reid, I.
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Volume 2, Issue , 2000 Page(s):126 - 133 vol.2
Digital Object Identifier 10.1109/CVPR.2000.854758
Summary:The main challenge in articulated body motion tracking is the
large number of degrees of freedom (around 30) to be recovered. Search
algorithms, either deterministic or stochastic, that search such a space
without constraint, fall foul of exponential computational complexity.
One approach is to introduce constraints: either labelling using markers
or colour coding, prior assumptions about motion trajectories or view
restrictions. Another is to relax constraints arising from articulation,
and track limbs as if their motions were independent. In contrast, we
aim for general tracking without special preparation of objects or
restrictive assumptions. The principal contribution of the paper is the
development of a modified particle filter for search in high dimensional
configuration spaces. It uses a continuation principle based on
annealing to introduce the influence of narrow peaks in the fitness
function, gradually. The new algorithm, termed annealed particle
filtering, is shown to be capable of recovering full articulated body
motion efficiently
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