Multiple target tracking based on sets of trajectories
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Abstract (arXiv)
We propose a solution of the multiple target tracking (MTT) problem based on sets of trajectories and the random finite set framework. A full Bayesian approach to MTT should characterise the distribution of the trajectories given the measurements, as it contains all information about the trajectories. We attain this by considering multi-object density functions in which objects are trajectories. For the standard tracking models, we also describe a conjugate family of multitrajectory density functions.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 May 2016.
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Citing papers per year: 2021: 3; 2022: 2; 2023: 2; 2024: 1; 2025: 3.
11 papers.
- 2021A time-weighted metric for sets of trajectories to assess multi-object tracking algorithmscited by 6
- 2023Trajectory Poisson multi-Bernoulli mixture filter for traffic monitoring using a dronecited by 2
- 2024TGOSPA Metric Parameters Selection and Evaluation for Visual Multi-object Trackingcited by 2
- 2025From Target Tracking to Targeting Track -- Part I: A Metric for Spatio-Temporal Trajectory Evaluationcited by 2
- 2021Continuous-discrete multiple target tracking with out-of-sequence measurementscited by 1
- 2021Extended Object Tracking Using Sets Of Trajectories with a PHD Filtercited by 0
- 2022A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birthcited by 0
- 2022Deep Fusion of Multi-Object Densities Using Transformercited by 0
- 2023Set-Type Belief Propagation with Applications to Poisson Multi-Bernoulli SLAMcited by 0
- 2025Poisson multi-Bernoulli mixture filter for trajectory measurementscited by 0
- 2025GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithmscited by 0
- 2025GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms18 Jul 2025
- 2025Poisson multi-Bernoulli mixture filter for trajectory measurements11 Apr 2025
- 2025From Target Tracking to Targeting Track -- Part I: A Metric for Spatio-Temporal Trajectory Evaluation20 Feb 2025
- 2024TGOSPA Metric Parameters Selection and Evaluation for Visual Multi-object Tracking11 Dec 2024
- 2023Trajectory Poisson multi-Bernoulli mixture filter for traffic monitoring using a drone29 Jun 2023
- 2023Set-Type Belief Propagation with Applications to Poisson Multi-Bernoulli SLAM5 May 2023
- 2022Deep Fusion of Multi-Object Densities Using Transformer19 Sep 2022
- 2022A comparison between PMBM Bayesian track initiation and labelled RFS adaptive birth13 Jul 2022
- 2021A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms26 Oct 2021
- 2021Extended Object Tracking Using Sets Of Trajectories with a PHD Filter2 Sep 2021
- 2021Continuous-discrete multiple target tracking with out-of-sequence measurements9 Jun 2021