Multi-EAP: Extended EAP for multi-estimate extraction for SMC-PHD filter
نویسندگان
چکیده
منابع مشابه
Multi-Target State Extraction for the SMC-PHD Filter
The sequential Monte Carlo probability hypothesis density (SMC-PHD) filter has been demonstrated to be a favorable method for multi-target tracking. However, the time-varying target states need to be extracted from the particle approximation of the posterior PHD, which is difficult to implement due to the unknown relations between the large amount of particles and the PHD peaks representing pot...
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In multi-target tracking, the key problem lies in estimating the number and states of individual targets, in which the challenge is the time-varying multi-target numbers and states. Recently, several multi-target tracking approaches, based on the sequential Monte Carlo probability hypothesis density (SMC-PHD) filter, have been presented to solve such a problem. However, most of these approaches...
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ژورنال
عنوان ژورنال: Chinese Journal of Aeronautics
سال: 2017
ISSN: 1000-9361
DOI: 10.1016/j.cja.2016.12.025