A Student’s t Mixture Probability Hypothesis Density Filter for Multi-Target Tracking with Outliers
In multi-target tracking, the outliers-corrupted process and measurement noises can reduce the performance of the probability hypothesis density (PHD) filter severely. To solve the problem, this paper proposed a novel PHD filter, called Student’s t mixture PHD (STM-PHD) filter. The proposed filter m...
Main Authors: | Zhuowei Liu, Shuxin Chen, Hao Wu, Renke He, Lin Hao |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-04-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/4/1095 |
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