Technical Report 2008-025

High Dimensional Human Motion Estimation using Particle Filtering

Björn Holmberg

October 2008


An anatomical model of a human thigh and shank segment is built. This 19 degree of freedom model is used in a particle filtering implementation to estimate the model state based on simulated data.

The novelty of this paper is in the use of the particle filter with such a high dimensional model as well as the application on a new type of data. This new data type is inter-frame matched 3D points on the skin surface, based on triangulation.

The results are very encouraging in comparison to state of the art contributions. The present implementation is very demanding in terms of computations and hence do not lend itself to real time applications.

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