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9 Results Found

  • Article
  • Open Access
4 Citations
2,228 Views
19 Pages

13 May 2022

This paper provides a solution for multi-target tracking with unknown detection probability. For the standard Poisson Multi-Bernoulli Mixture (PMBM) filter, the detection probability is generally considered a priori. However, affected by sensors, the...

  • Article
  • Open Access
3 Citations
2,289 Views
24 Pages

9 January 2023

The Poisson multi-Bernoulli Mixture (PMBM) filter, as well as its variants, is a popular and practical multitarget tracking algorithm. There are some pending problems for the standard PMBM filter, such as unknown detection probability, random target...

  • Article
  • Open Access
12 Citations
2,972 Views
31 Pages

5 February 2023

This paper focuses on the problem of joint detection, tracking, and classification (JDTC) for multiple extended objects (EOs) within a Poisson multi-Bernoulli (MB) mixture (PMBM) filter, where an EO is described as an ellipse, and the ellipse is mode...

  • Article
  • Open Access
2 Citations
2,317 Views
18 Pages

22 October 2024

The identification of sensing group targets and extended targets is of paramount importance in the context of vehicle tracking and early warning detection. As the scope of target monitoring and tracking extends, conventional single-sensor-based track...

  • Article
  • Open Access
3 Citations
3,362 Views
15 Pages

20 September 2020

The existence of clutter, unknown measurement sources, unknown number of targets, and undetected probability are problems for multi-extended target tracking, to address these problems; this paper proposes a gamma-Gaussian-inverse Wishart (GGIW) imple...

  • Article
  • Open Access
11 Citations
2,189 Views
22 Pages

29 August 2023

A novel Student’s t-based robust Poisson multi-Bernoulli mixture (PMBM) filter is proposed to effectively perform multi-target tracking under heavy-tailed process and measurement noises. To cope with the common scenario where the process and me...

  • Article
  • Open Access
1,319 Views
12 Pages

Multi-target tracking using infrared images is receiving more and more attention. There are many state-of-the-art methods, and the deep learning network and low-rank and sparse matrix separation are two kinds of methods with high accuracy. However, t...

  • Article
  • Open Access
17 Citations
2,598 Views
22 Pages

19 January 2023

This study provides a solution for multiple group/extended target tracking with an arbitrary shape. Many tracking approaches for extended/group targets have been proposed. However, these approaches make assumptions about the target shape, which have...