Smart Particle Filtering for 3D Hand Tracking

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 [1] 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. Additionally, it can handle multiple hypotheses, clutter and occlusion which pure optimization approaches have problems. The performance of th...

• Type: Conference
• Year: 2004
• Where: FGR
• Authors: Matthieu Bray, Esther Koller-Meier, Luc J. Van Gool
• Keywords: Biometrics, FGR 2004, Particle Filter, SMD Optimization, SMD Particle Filter