Adaptive Multi-target Tracking Algorithm with Unknown Detection Probability

In order to accurately model the system detection probability in a complex background,a Multi-Target Tracking(MTT) method with unknown detection probability is proposed.The detection probability is modeled by the Time Varying AutoRegressive(TVAR) process.The parameterized model is combined with the...

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Bibliografiske detaljer
Hovedforfatter: LIU Jun,YUAN Peiyan,QIU Hao
Format: Artigo
Sprog:Inglês
Udgivet: Editorial Office of Computer Engineering 2017-08-01
Serier:Jisuanji gongcheng
Fag:
multi-target tracking(mtt)|random finite set(rfs)|labeled multi-bernoulli(lmb)|detection probability|time varying autoregressive(tvar)
Online adgang:https://www.ecice06.com/fileup/1000-3428/PDF/201708050.pdf
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