- Research Article
- Open Access
Using Gaussian Process Annealing Particle Filter for 3D Human Tracking
EURASIP Journal on Advances in Signal Processing volume 2008, Article number: 592081 (2007)
We present an approach for human body parts tracking in 3D with prelearned motion models using multiple cameras. Gaussian process annealing particle filter is proposed for tracking in order to reduce the dimensionality of the problem and to increase the tracker's stability and robustness. Comparing with a regular annealed particle filter-based tracker, we show that our algorithm can track better for low frame rate videos. We also show that our algorithm is capable of recovering after a temporal target loss.
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Raskin, L., Rivlin, E. & Rudzsky, M. Using Gaussian Process Annealing Particle Filter for 3D Human Tracking. EURASIP J. Adv. Signal Process. 2008, 592081 (2007). https://doi.org/10.1155/2008/592081
- Gaussian Process
- Process Annealing
- Particle Filter
- Motion Model
- Publisher Note