An introduction to the generalized labeled multi-Bernoulli filter through Matlab code

Lingji Chen

doi:10.1117/12.2304488

27 April 2018 An introduction to the generalized labeled multi-Bernoulli filter through Matlab code

Lingji Chen

Proceedings Volume 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII; 1064604 (2018) https://doi.org/10.1117/12.2304488
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

The recently developed Generalized Labeled Multi-Bernoulli (GLMB) filter, or the Vo-Vo filter, provides a “closed form” solution to the multi-target tracking problem, and has found many successful applications. However, one often hears from a general practitioner what a daunting task it is to follow all the mathematical notations in order to understand GLMB. This paper strives to describe the operations of the Vo-Vo filter through Matlab code, utilizing its object oriented features for different levels of abstractions.

Conference Presentation

Citation Download Citation

Lingji Chen "An introduction to the generalized labeled multi-Bernoulli filter through Matlab code", Proc. SPIE 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, 1064604 (27 April 2018); https://doi.org/10.1117/12.2304488

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