12 papers
An Extended Object Poisson Multi-Bernoulli Filter with Zero-Inflated Poisson Measurement Model Using Belief Propagation
Xueqi Qiu, Yuxuan Xia, Hyowon Kim +1
This paper presents an efficient implementation of the extended object Poisson multi-Bernoulli (PMB) filter under the zero-inflated Poisson (ZIP) object measurement model using par…
Variational PMB filter via coordinate descent Kullback-Leibler divergence minimisation
Ãngel F. GarcÃa-Fernández, Yuxuan Xia
This paper presents a new derivation of the variational Poisson multi-Bernoulli (V-PMB) filter for multi-target estimation proposed in [#Williams15]. The proposed derivation is bas…
Efficient Implementations of Extended Object PMBM Filters with Blocked Gibbs Sampling
Yuxuan Xia, Ãngel F. GarcÃa-Fernández, Lennart Svensson
This paper considers multiple extended object tracking based on Poisson multi-Bernoulli mixture (PMBM) filtering, which gives the closed-form Bayesian solution for standard multipl…
Event-Triggered Distributed Target Tracking via PRIMEX
Yuxuan Xia, Kuo-Chu Chang, Xueqi Qiu +3
PRIMEX (prime-based graph encoding and extraction) is a recently proposed framework for scalable distributed fusion. In PRIMEX, the information pedigree of state estimates or proba…
GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms
Ãngel F. GarcÃa-Fernández, Jinhao Gu, Lennart Svensson +4
This paper introduces two quasi-metrics for performance assessment of multi-object tracking (MOT) algorithms. One quasi-metric is an extension of the generalised optimal subpattern…
Occlusion-Aware Multi-Object Tracking via Expected Probability of Detection
Jan KrejÄÃ, Oliver Kost, Yuxuan Xia +2
This paper addresses multi-object systems, where objects may occlude one another relative to the sensor. The standard point-object model for detection-based sensors is enhanced so…