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981 Results Found

  • Article
  • Open Access
2 Citations
3,770 Views
18 Pages

Multi-Feature Matching GM-PHD Filter for Radar Multi-Target Tracking

  • Jin Tao,
  • Defu Jiang,
  • Jialin Yang,
  • Chao Zhang,
  • Song Wang and
  • Yan Han

17 July 2022

Multi-target tracking (MTT) is one of the most important functions of radar systems. Traditional multi-target tracking methods based on data association convert multi-target tracking problems into single-target tracking problems. When the number of t...

  • Article
  • Open Access
20 Citations
5,495 Views
18 Pages

25 February 2019

This paper presents a novel multi-objective optimization based sensor selection method for multi-target tracking in sensor networks. The multi-target states are modelled as multi-Bernoulli random finite sets and the multi-Bernoulli filter is used to...

  • Article
  • Open Access
13 Citations
3,196 Views
14 Pages

Multi-Target Tracking Using Windowed Fourier Single-Pixel Imaging

  • Jinyu Zhang,
  • Taiyang Hu,
  • Xiaolang Shao,
  • Mengxuan Xiao,
  • Yingjiao Rong and
  • Zelong Xiao

28 November 2021

The single-pixel imaging (SPI) technique enables the tracking of moving targets at a high frame rate. However, when extended to the problem of multi-target tracking, there is no effective solution using SPI yet. Thus, a multi-target tracking method u...

  • Article
  • Open Access
9 Citations
6,596 Views
16 Pages

PMHT Approach for Multi-Target Multi-Sensor Sonar Tracking in Clutter

  • Xiaohua Li,
  • Yaan Li,
  • Jing Yu,
  • Xiao Chen and
  • Miao Dai

6 November 2015

Multi-sensor sonar tracking has many advantages, such as the potential to reduce the overall measurement uncertainty and the possibility to hide the receiver. However, the use of multi-target multi-sensor sonar tracking is challenging because of the...

  • Article
  • Open Access
322 Views
23 Pages

Centralized Multi-Sensor GLMB Smoother for Multi-Target Tracking

  • Jiaqi Yao,
  • Qinchen Wu,
  • Jinping Sun,
  • Yanping Wang and
  • Tao Shan

30 November 2025

Aiming to improve the accuracy of multi-target tracking in multi-sensor scenarios, this paper proposes a centralized multi-sensor (MS) generalized labeled multi-Bernoulli (GLMB) smoother, abbreviated as MS-GLMB-S. The developed smoother is built on t...

  • Article
  • Open Access
7 Citations
4,072 Views
19 Pages

Smoothing Linear Multi-Target Tracking Using Integrated Track Splitting Filter

  • Sufyan Ali Memon,
  • Ihsan Ullah,
  • Uzair Khan and
  • Taek Lyul Song

6 March 2022

Multi-target tracking (MTT) is a challenging issue due to an unknown number of real targets, motion uncertainties, and coalescence behavior of sensor (such as radar) measurements. The conventional MTT systems deal with intractable computational compl...

  • Article
  • Open Access
3 Citations
1,225 Views
26 Pages

30 October 2024

A distributed network of multiple unmanned aerial vehicles (UAVs) equipped with airborne passive bistatic radar (APBR) can form a passive detection network through cooperative networking technology, a novel passive early warning detection system. Its...

  • Article
  • Open Access
2 Citations
2,778 Views
20 Pages

27 October 2023

Aiming at the problem of asynchronous multi-target tracking, this paper studies the AA fusion optimization problem of multi-sensor networks. Firstly, each sensor node runs a PHD filter, and the measurement information obtained from different sensor n...

  • Article
  • Open Access
13 Citations
3,779 Views
16 Pages

20 July 2024

In modern radar detection systems, the particle filter technique has become one of the core algorithms for real-time target detection and tracking due to its good nonlinear and non-Gaussian system state estimation capability. However, when dealing wi...

  • Article
  • Open Access
6 Citations
4,284 Views
17 Pages

29 April 2019

In many wireless sensors, the target kinematic states include location and Doppler information that can be observed from a time series of range and velocity measurements. In this work, we present a tracking strategy for comprising target velocity com...

  • Article
  • Open Access
284 Views
28 Pages

Multi-Target Tracking with Collaborative Roadside Units Under Foggy Conditions

  • Tao Shi,
  • Xuan Wang,
  • Wei Jiang,
  • Xiansheng Huang,
  • Ming Cen,
  • Shuai Cao and
  • Hao Zhou

3 February 2026

The Intelligent Road Side Unit (RSU) is a crucial component of Intelligent Transportation Systems (ITSs), where roadside LiDAR are widely utilized for their high precision and resolution. However, water droplets and atmospheric particles in fog signi...

  • Article
  • Open Access
20 Citations
4,284 Views
17 Pages

26 June 2019

Radar target detection probability will decrease as the target echo signal-to-noise ratio (SNR) decreases, which has an adverse influence on the result of multi-target tracking. The performances of standard multi-target tracking algorithms degrade si...

  • Article
  • Open Access
8 Citations
2,713 Views
18 Pages

An Improved Q-Learning-Based Sensor-Scheduling Algorithm for Multi-Target Tracking

  • Zhiyi Qu,
  • Xue Zhao,
  • Huihui Xu,
  • Hongying Tang,
  • Jiang Wang and
  • Baoqing Li

15 September 2022

Target tracking is an essential issue in wireless sensor networks (WSNs). Compared with single-target tracking, how to guarantee the performance of multi-target tracking is more challenging because the system needs to balance the tracking resource fo...

  • Article
  • Open Access
12 Citations
6,267 Views
18 Pages

Multi-Target Tracking Based on Multi-Bernoulli Filter with Amplitude for Unknown Clutter Rate

  • Changshun Yuan,
  • Jun Wang,
  • Peng Lei,
  • Yanxian Bi and
  • Zhongsheng Sun

4 December 2015

Knowledge of the clutter rate is of critical importance in multi-target Bayesian tracking. However, estimating the clutter rate is a difficult problem in practice. In this paper, an improved multi-Bernoulli filter based on random finite sets for mult...

  • Article
  • Open Access
1 Citations
1,669 Views
26 Pages

Uncertainty-Aware δ-GLMB Filtering for Multi-Target Tracking

  • M. Hadi Sepanj,
  • Saed Moradi,
  • Zohreh Azimifar and
  • Paul Fieguth

The δ-GLMB filter is an analytic solution to the multi-target Bayes recursion used in multi-target tracking. It extends the Generalised Labelled Multi-Bernoulli (GLMB) framework by providing an efficient and scalable implementation while preser...

  • Article
  • Open Access
1 Citations
2,975 Views
24 Pages

Multi-View, Multi-Target Tracking in Low-Altitude Scenes with UAV Involvement

  • Pengnian Wu,
  • Yixuan Li,
  • Zhihao Li,
  • Xuqi Yang and
  • Dong Xue

13 February 2025

Cooperative visual tracking involving unmanned aerial vehicles (UAVs) in low-altitude environments is a dynamic and rapidly evolving domain. Existing models encounter challenges with targets, such as scale variation, appearance similarity, and freque...

  • Communication
  • Open Access
1 Citations
2,438 Views
10 Pages

8 November 2022

Aiming at multiple quantities and types of targets, multi-class multi-target tracking usually faces not only cardinality errors, but also mis-classification problems. Considering its performance evaluation, the traditional optimal subpattern assignme...

  • Article
  • Open Access
2 Citations
2,754 Views
22 Pages

An Improved Multi-Target Tracking Method for Space-Based Optoelectronic Systems

  • Rui Zhu,
  • Qiang Fu,
  • Guanyu Wen,
  • Xiaoyi Wang,
  • Nan Liu,
  • Liyong Wang,
  • Yingchao Li and
  • Huilin Jiang

2 August 2024

Under space-based observation conditions, targets are subject to a large number of stars, clutter, false alarms, and other interferences, which can significantly impact the traditional Gaussian mixture probability hypothesis density (GM-PHD) filterin...

  • Article
  • Open Access
2 Citations
3,402 Views
16 Pages

This paper proposes a trajectory optimization approach for multi-sensor multi-target search and tracking using bearing-only sensors. Based on the framework of the joint integrated probabilistic data association (JIPDA) filter, the intensity of potent...

  • Article
  • Open Access
8 Citations
7,662 Views
23 Pages

3 March 2017

We develop an interactive likelihood (ILH) for sequential Monte Carlo (SMC) methods for image-based multiple target tracking applications. The purpose of the ILH is to improve tracking accuracy by reducing the need for data association. In addition,...

  • Article
  • Open Access
4 Citations
5,508 Views
16 Pages

11 October 2016

In this paper, an adaptive collaborative Gaussian Mixture Probability Hypothesis Density (ACo-GMPHD) filter is proposed for multi-target tracking with automatic track extraction. Based on the evolutionary difference between the persistent targets and...

  • Article
  • Open Access
11 Citations
4,466 Views
19 Pages

An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention

  • Yong Hong,
  • Deren Li,
  • Shupei Luo,
  • Xin Chen,
  • Yi Yang and
  • Mi Wang

15 December 2022

Current multi-target multi-camera tracking algorithms demand increased requirements for re-identification accuracy and tracking reliability. This study proposed an improved end-to-end multi-target tracking algorithm that adapts to multi-view multi-sc...

  • Article
  • Open Access
12 Citations
3,114 Views
21 Pages

28 September 2019

A forward–backward labeled multi-Bernoulli (LMB) smoother is proposed for multi-target tracking. The proposed smoother consists of two components corresponding to forward LMB filtering and backward LMB smoothing, respectively. The former is the...

  • Article
  • Open Access
2,072 Views
21 Pages

8 March 2025

Video Synthetic Aperture Radar (ViSAR) operates by continuously monitoring regions of interest to produce sequences of SAR imagery. The detection and tracking of ground-moving targets, through the analysis of their radiation properties and temporal v...

  • Article
  • Open Access
9 Citations
3,814 Views
29 Pages

23 November 2018

A new optimization algorithm of sensor selection is proposed in this paper for decentralized large-scale multi-target tracking (MTT) network within a labeled random finite set (RFS) framework. The method is performed based on a marginalized δ-general...

  • Article
  • Open Access
7 Citations
6,875 Views
15 Pages

2 March 2012

A finite set statistics (FISST)-based method is proposed for multi-target tracking in the image plane of optical sensors. The method involves using signal amplitude information in probability hypothesis density (PHD) filter which is derived from FISS...

  • Article
  • Open Access
5 Citations
1,837 Views
19 Pages

An Image-Free Single-Pixel Detection System for Adaptive Multi-Target Tracking

  • Yicheng Peng,
  • Jianing Yang,
  • Yuhao Feng,
  • Shijie Yu,
  • Fei Xing and
  • Ting Sun

21 June 2025

Conventional vision-based sensors face limitations such as low update rates, restricted applicability, and insufficient robustness in dynamic environments with complex object motions. Single-pixel tracking systems offer high efficiency and minimal da...

  • Article
  • Open Access
4 Citations
4,066 Views
27 Pages

23 December 2019

The point detections obtained from radars or sonars in surveillance environments include clutter measurements, as well as target measurements. Target tracking with these data requires data association, which distinguishes the detections from targets...

  • Article
  • Open Access
11 Citations
2,513 Views
20 Pages

28 July 2022

In multi-sensor systems (MSSs), sensor selection is a critical technique for obtaining high-quality sensing data. However, when the number of sensors to be selected is unknown in advance, sensor selection is essentially non-deterministic polynomial-h...

  • Article
  • Open Access
8 Citations
5,246 Views
22 Pages

10 December 2019

This paper deals with mobile multi-target detection and tracking. In the traditional method, there are uncertainties such as misdetection and false alarm in the measurement data, and it will be inevitable having to deal with the data association. To...

  • Article
  • Open Access
6 Citations
2,627 Views
17 Pages

Underwater multi-target tracking is one of the key technologies for military missions, including patrol and combat in the crucial area. Since the underwater environment is complex and targets’ trajectories may intersect when they are in a dense...

  • Article
  • Open Access
16 Citations
6,052 Views
18 Pages

Factored Multi-Agent Soft Actor-Critic for Cooperative Multi-Target Tracking of UAV Swarms

  • Longfei Yue,
  • Rennong Yang,
  • Jialiang Zuo,
  • Mengda Yan,
  • Xiaoru Zhao and
  • Maolong Lv

22 February 2023

In recent years, significant progress has been made in the multi-target tracking (MTT) of unmanned aerial vehicle (UAV) swarms. Most existing MTT approaches rely on the ideal assumption of a pre-set target trajectory. However, in practice, the trajec...

  • Article
  • Open Access
1 Citations
1,877 Views
18 Pages

To address the issues of missed detections and false detections of small target missed detections caused by dense occlusion in complex traffic environments, a non-maximum suppression method, Bot-NMS, is proposed to achieve accurate prediction and loc...

  • Article
  • Open Access
28 Citations
6,991 Views
18 Pages

10 September 2016

In this paper, an improved nonlinear Gaussian mixture probability hypothesis density (GM-PHD) filter is proposed to address bearings-only measurements in multi-target tracking. The proposed method, called the Gaussian mixture measurements-probability...

  • Article
  • Open Access
4 Citations
1,611 Views
17 Pages

7 October 2023

The random finite set (RFS) approach for multi-target tracking is widely researched because it has a rigorous theoretical basis. However, many prior parameters such as the clutter density, survival probability and detection probability of the target,...

  • Article
  • Open Access
5 Citations
2,049 Views
24 Pages

10 August 2023

Sensor management is a crucial research subject for multi-sensor multi-target tracking in wireless sensor networks (WSNs) with limited resources. Bearings-only tracking produces further challenges related to high nonlinearity and poor observability....

  • Article
  • Open Access
18 Citations
4,553 Views
23 Pages

4 April 2018

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 m...

  • Article
  • Open Access
1,436 Views
18 Pages

13 September 2025

This study proposes a novel method to address the instability issues in multi-target bearing-only tracking for passive sonar systems. Utilizing a particle filter-guided on-site training mechanism, the complex multi-classification task is simplified i...

  • Article
  • Open Access
11 Citations
5,195 Views
19 Pages

Time-Matching Random Finite Set-Based Filter for Radar Multi-Target Tracking

  • Defu Jiang,
  • Ming Liu,
  • Yiyue Gao,
  • Yang Gao,
  • Wei Fu and
  • Yan Han

13 December 2018

The random finite set (RFS) approach provides an elegant Bayesian formulation of the multi-target tracking (MTT) problem without the requirement of explicit data association. In order to improve the performance of the RFS-based filter in radar MTT ap...

  • Article
  • Open Access
21 Citations
6,076 Views
21 Pages

5 May 2015

This paper deals with the problem of multi-target tracking in a distributed camera network using the square-root cubature information filter (SCIF). SCIF is an efficient and robust nonlinear filter for multi-sensor data fusion. In camera networks, mu...

  • Article
  • Open Access
4 Citations
2,395 Views
22 Pages

5 November 2024

Multi-target tracking (MTT) of multi-active and multi-passive sensor (MAMPS) systems in dense group clutter environments is facing significant challenges in measurement fusion. Due to the difference in measurement information characteristics in MAMPS...

  • Article
  • Open Access
8 Citations
4,082 Views
19 Pages

5 October 2019

In this paper, we study the issue of out-of-sequence measurement (OOSM) in a multi-target scenario to improve tracking performance. The OOSM is very common in tracking systems, and it would result in performance degradation if we used it inappropriat...

  • Article
  • Open Access
16 Citations
5,123 Views
18 Pages

23 November 2016

The cardinalized probability hypothesis density (CPHD) filter is an alternative approximation to the full multi-target Bayesian filter for tracking multiple targets. However, although the joint propagation of the posterior intensity and cardinality d...

  • Article
  • Open Access
1,126 Views
25 Pages

21 November 2025

In the research field of multi-robot cooperation, reliable and low-cost motion capture is crucial for system development and validation. To address the high costs of traditional motion capture systems, this study proposes a real-time 6D pose estimati...

  • Article
  • Open Access
1,010 Views
22 Pages

18 April 2025

In view of the typical multi-target scenarios of underwater direction-of-arrival (DOA) tracking complicated by uncertain measurement noise in unknown underwater environments, a robust underwater multi-target DOA tracking method is proposed by incorpo...

  • Article
  • Open Access
17 Citations
3,712 Views
23 Pages

29 June 2022

The paper addresses the problem of tracking multiple targets with Doppler-only measurements in multi-sensor systems. It is well known that the observability of the target state measured using Doppler-only measurements is very poor, which makes it dif...

  • Article
  • Open Access
1 Citations
867 Views
21 Pages

In highway scenarios, factors such as high-speed vehicle movement, lighting conditions, and positional changes significantly affect the quality of trajectories in multi-object tracking. This, in turn, impacts the trajectory clustering process within...

  • Article
  • Open Access
5 Citations
4,959 Views
20 Pages

25 November 2024

In high-altitude scenarios, targets tend to occupy a small number of pixels within the UAV’s field of view, resulting in substantial errors when identity recognition is attempted based solely on appearance features during multi-UAV joint tracki...

  • Article
  • Open Access
22 Citations
3,758 Views
19 Pages

26 February 2020

Radar network systems have been demonstrated to offer numerous advantages for target tracking. In this paper, a low probability of intercept (LPI)-based joint dwell time and bandwidth optimization strategy is proposed for multi-target tracking in a r...

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