Title :
The mixed labeling problem in multi target particle filtering
Author :
Boers, Yvo ; Driessen, Hans
Author_Institution :
Thales Nederland B.V., Hengelo
Abstract :
In this paper the so called mixed labeling problem inherent, or at least thought to be inherent to a joint state multi target particle filter implementation is treated. The mixed labeling problem would be prohibitive for track extraction from a joint state multi target particle filter. It is shown and proven using the theory of Markov chains, that the mixed labeling problem is inherently self-resolving in a particle filter. It is also shown that the factors influencing this capability are the number of particles and the number of resampling steps.
Keywords :
Markov processes; particle filtering (numerical methods); target tracking; Markov chains; mixed labeling problem; multi target particle filtering; track extraction; Bayesian methods; Filtering; Labeling; Markov processes; Particle filters; Particle tracking; Target tracking; Markov Processes; Multi Target Tracking; Particle Filters;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4408005