European Control Conference (ECC) 2021

Computationally efficient application of Sequential Monte Carlo expectation maximization to confined single particle tracking

[Main contributions] In this work, we describe three modifications to SMC-EM aimed at improving its computationally efficiency and demonstrate it through analysis of simulated SPT data of a particle in a three dimensional confined environment. The first two modifications use approximation methods to reduce the complexity of the original motion and measurement models without significant loss of accuracy. The third modification replaces the previous SMC methods with a Gaussian particle filter combined with a backward simulation particle smoother, trading off some level of generality for improved computational performance. In addition, we take advantage of the improved efficiency to investigate the effect of data length on performance in localization and parameter estimation [More … ]

2021ECC_figures Np_approx

The above figures show the mathematical simplification on confined motion model and measurement model (If you use the figures, please cite the above paper).