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GPAPF: A Combined Approach for 3D Body Part Tracking

Raskin, Leonid ; Rudzsky, Michael ; Rivlin, Ehud

The 5th International Conference on Computer Vision Systems, 2007
Bielefeld, 21. - 24. März 2007

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Abstract:
In this paper we present a combined approach for body part tracking in 3D using multiple cameras, called GPAPF. This approach combines annealed particle filtering, which has been shown as effective tracker for body parts, with Gaussian Process Dynamical Model, which is used in order to reduce the dimensionality of the problem. That reduction improves the tracker's performance and increases the tracker's stability and ability to recover from the loosing the target. We also compare GPAPF tracker with the annealed particle filter and show that our tracker has a better performance even for low frame rate sequences.


Keywords: Tracking, Annealing particle filter, GPDM, Latent space
Institution: Faculty of Technology, Research Groups in Informatics
DDC classification: Data processing, computer science, computer systems

Suggested Citation:
Raskin, Leonid ; Rudzsky, Michael ; Rivlin, Ehud  (2007)  GPAPF: A Combined Approach for 3D Body Part Tracking. The 5th International Conference on Computer Vision Systems, 2007


URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2007/50



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