A Gaussian Mixture CPHD Filter for Multi-Target Tracking in Target-Dependent False Alarms
Qi Jiang,
Rui Wang,
Libin Dou
et al.
Abstract:The estimation of the target number and individual tracks are two major tasks in multi-target tracking. The main shortcoming of traditional tracking methods is the cumbersome data association between measurements and targets. The cardinalized probability hypothesis density filter (CPHD) proposed in recent years can achieve the requirement for multitarget tracking. This kind of filter jointly estimates the cardinality distribution and the posterior density, which can achieve a more stable estimate of the target… Show more
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