articleNov 7, 2002Closed access

Articulated body motion capture by annealed particle filtering

University of Oxford · Microsoft Research (United Kingdom)

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Abstract

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…

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862
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Authors

3

Topics & keywords

Keywords
  • Particle filter
  • Computer science
  • Algorithm
  • Computer vision
  • Search algorithm
  • Motion (physics)
  • Tracking (education)
  • Artificial intelligence
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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