Multi-sensor tracking with partly overlapping FoV using detection field of probability modeling and the GLMB filter
نویسندگان
چکیده
Abstract In this paper, we consider multi-sensor with partly overlapping field of view (FoV) in the labeled random finite set (L-RFS) framework. This is different from most existing tracking algorithms, where sensors are assumed to have same FoV. We describe FoV by modeling probability detection for individual whole observation area and can be seen as range all these using generalized multi-Bernoulli filter RFS Besides, also propose a measurement-driven target birth model. Finally, effectiveness proposed algorithm verified experiments.
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2023
ISSN: ['1687-6180', '1687-6172']
DOI: https://doi.org/10.1186/s13634-022-00962-4