TY - JOUR AU - Raskin, Leonid AU - Rivlin, Ehud AU - Rudzsky, Michael PY - 2007 DA - 2007/11/22 TI - Using Gaussian Process Annealing Particle Filter for 3D Human Tracking JO - EURASIP Journal on Advances in Signal Processing SP - 592081 VL - 2008 IS - 1 AB - 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. SN - 1687-6180 UR - https://doi.org/10.1155/2008/592081 DO - 10.1155/2008/592081 ID - Raskin2007 ER -