Projects per year
In our experiments we combine our PHMM approach with a 3D body tracker. Experiments are performed with pointing and grasping movements parameterized by their target positions at a table-top. A systematical evaluation of synthesis and recognition shows the use of our approach. In case of recognition, our approach is able to recover the movement type, and, e.g., the object position a human is pointing at. Our experiments show the flexibility of the PHMMs in terms of the amount of training data and its robustness in terms of noisy observation data. In addition, we compare our PHMM to an other kind of PHMM, which has been introduced by Wilson and Bobick.
|Title of host publication||Proceedings of IEEE's NTAV/SPA|
|Number of pages||6|
|Publication status||Published - 2009|
|Event||NTAV / SPA - Poznan, Poland|
Duration: 25 Sep 2008 → 27 Sep 2008
|Conference||NTAV / SPA|
|Period||25/09/2008 → 27/09/2008|
- action recognition
- action representation
- parametric hidden Markov models
- computer vision
Dillmann, R., Eklundh, J. O., Wörgötter, F., Krüger, V. K. C., Krüger, N., Ude, A., Torras, C., Hommel, B. & Steedman, M.
01/02/2006 → 31/01/2010