Optimized Particles for 3-D Tracking [chapter]

Huiying Chen, Youfu Li
2010 Lecture Notes in Computer Science  
3D visual tracking is useful for many applications. In this paper, we propose two different ways for different system configurations to optimize particle filter for enhancing 3D tracking performances. On the one hand, a new data fusion method is proposed to obtain the optimal importance density function for active vision systems. With this method, the importance density function in particle filter can be modified to represent posterior states by particle crowds in a better way. Thus, it makes
more » ... e tracking system more robust to noise and outliers. On the other hand, we develop a method for reconfigurable vision systems to maximize the effective sampling size in particle filter, which consequentially helps to solve the degeneracy problem and minimize the tracking error. Simulation and experimental results verified the effectiveness of the proposed method.
doi:10.1007/978-3-642-16584-9_71 fatcat:yfxoss74rzcupcppwwnn2xpssm