Smart Particle Filtering for 3D Hand Tracking
Matthieu Bray, Esther Koller-Meier and Luc Van Gool
In: International Conference on Automatic Face and Gesture Recognition, 17-19 May 2004, Seoul, Korea.
Solving the tracking of an articulated structure in a reasonable time is a complex task mainly due to the high dimensionality of the problem. A new optimization method, called Stochastic Meta-Descent (SMD), based on gradient descent with adaptive and parameter specific step sizes was introduced recently (Bray et al. 2004) to solve this challenging problem. While the local optimization works very well, reaching the
global optimum is not guaranteed. We therefore propose a novel algorithm which combines the SMD optimization with a particle filter to form `smart particles`. After propagating the particles, SMD is performed and the resulting new particle set is included such that the original Bayesian distribution is not altered. The resulting `smart particle filter` (SPF) tracks high dimensional articulated structures with far fewer samples than previous methods.