Skip to Main content Skip to Navigation
Journal articles

Bayesian Multiple Hypothesis Tracking of Merging and Splitting Targets

Alexandros Makris 1, * Clémentine Prieur 1
* Corresponding author
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann, Inria Grenoble - Rhône-Alpes
Abstract : This paper presents a Bayesian model for the multiple target tracking problem that handles a varying number of splitting and merging targets applied to convective cloud tracking. The model decomposes the tracking solution into events and targets state. The events include target births, deaths, splits, and merges. The target state contains both the target positions and attributes. By updating the target attributes and conditioning the events on their updated values we can include high level domain knowledge into the system. This strategy improves the tracking accuracy and the computational efficiency since we focus only on likely events for each situation. A two-step multiple hypothesis tracking algorithm has been developed to estimate the model state. The proposed approach is tested by both simulation and real data for mesoscale convective systems tracking.
Complete list of metadata

Cited literature [37 references]  Display  Hide  Download

https://hal.inria.fr/hal-00919018
Contributor : Alexandros Makris Connect in order to contact the contributor
Submitted on : Monday, December 16, 2013 - 11:17:58 AM
Last modification on : Thursday, November 19, 2020 - 1:00:20 PM
Long-term archiving on: : Tuesday, March 18, 2014 - 3:46:10 PM

File

IEEE_TGRS.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Alexandros Makris, Clémentine Prieur. Bayesian Multiple Hypothesis Tracking of Merging and Splitting Targets. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2014, 52 (12), pp.7684-7694. ⟨10.1109/TGRS.2014.2316600⟩. ⟨hal-00919018⟩

Share

Metrics

Record views

863

Files downloads

4518