27 citations · 100 across the 28 of their papers we have counts for
6 papers · 1 filter
Variational PMB filter via coordinate descent Kullback-Leibler divergence minimisation
Ángel F. García-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…
Occlusion-Aware Multi-Object Tracking via Expected Probability of Detection
Jan Krejčí, 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…
Model-based Multi-object Visual Tracking: Identification and Standard Model Limitations
Jan Krejčí, Oliver Kost, Yuxuan Xia +2
This paper uses multi-object tracking methods known from the radar tracking community to address the problem of pedestrian tracking using 2D bounding box detections. The standard p…
TGOSPA Metric Parameters Selection and Evaluation for Visual Multi-object Tracking
Jan Krejčí, Oliver Kost, Ondřej Straka +3
Multi-object tracking algorithms are deployed in various applications, each with different performance requirements. For example, track switches pose significant challenges for off…
GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker without Bells and Whistles
Jianan Liu, Liping Bai, Yuxuan Xia +3
Multi-object tracking (MOT) is among crucial applications in modern advanced driver assistance systems (ADAS) and autonomous driving (AD) systems. The global nearest neighbor (GNN)…
An Uncertainty-Aware Performance Measure for Multi-Object Tracking
Juliano Pinto, Yuxuan Xia, Lennart Svensson +1
Evaluating the performance of multi-object tracking (MOT) methods is not straightforward, and existing performance measures fail to consider all the available uncertainty informati…