Joint Integrated Track Splitting for Multi-sensor Multi-target Tracking in Clutter

被引:2
|
作者
Xie, Yifan [1 ]
Lee, Haeho [2 ]
Ahn, Myonghwan [2 ]
Lee, Bum Jik [3 ]
Song, Taek Lyul [1 ]
机构
[1] Hanyang Univ, Dept Elect Syst Engn, Ansan, South Korea
[2] LIG Nex1 Co Ltd, Combat Syst R&D Lab, Seongnam, South Korea
[3] Daewoo Shipbldg & Marine Engn, Submarine Combat Syst Part, Seoul, South Korea
关键词
Multitarget; Multisensor; Target Existence; Joint Integrated Track Splitting; S-D Assignment; D ASSIGNMENT ALGORITHM; TARGET TRACKING; FUSION;
D O I
10.5220/0005960102990307
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Automatic object tracking for track initialization, confirmation and termination can be realized by using the probability of target existence, which is a track quality measure for false track discrimination. In this paper, we present a multi-sensor multi-target tracking application based on the probability of target existence and multi-sensor joint integrated track splitting (MS-JITS), which is an extension of JITS framework to multi-sensor systems. For fair comparison, incorporation of the target existence paradigm and the S-D assignment is implemented. This work also consummates the S-D assignment based estimators for track management by the probability of target existence.
引用
收藏
页码:299 / 307
页数:9
相关论文
共 50 条
  • [41] Multi-sensor multi-target tracking based on range-Doppler measurement
    Baruzzi, Aurora
    Martorella, Marco
    [J]. INTERNATIONAL JOURNAL OF MICROWAVE AND WIRELESS TECHNOLOGIES, 2016, 8 (03) : 615 - 622
  • [42] Multi-Target/Multi-Sensor Tracking using Only Range and Doppler Measurements
    Deming, Ross
    Schindler, John
    Perlovsky, Leonid
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2009, 45 (02) : 593 - 611
  • [43] Gaussian Mixtures Match and Fusion Algorithms for Multi-Sensor Multi-Target Tracking
    Han Shen-tu
    Rong, Yingjiao
    Guo, Yunfei
    Luo, Ji-an
    Shi, Yifang
    [J]. 2019 22ND INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2019), 2019,
  • [44] Approximately Optimal Radar Resource Management for Multi-Sensor Multi-Target Tracking
    van der Werk, Bas
    Schope, Max Ian
    Driessen, Hans
    [J]. 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2021, : 1074 - 1081
  • [45] Optimized Multi-Sensor Multi-Target Tracking Algorithm for Air Surveillance System
    Thite, Anita
    Mishra, Arun
    [J]. PROCEEDINGS OF THE 2016 IEEE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL & ELECTRONICS, INFORMATION, COMMUNICATION & BIO INFORMATICS (IEEE AEEICB-2016), 2016, : 637 - 642
  • [46] Modelling and Simulation of Multi-target Multi-sensor Data Fusion for Trajectory Tracking
    Singh, A. K.
    Sood, N.
    [J]. DEFENCE SCIENCE JOURNAL, 2009, 59 (03) : 205 - 214
  • [47] Multi-sensor target tracking in the presence of clutter using game theory
    Ghazal, M.
    Doustmohammadi, A.
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2018, 232 (15) : 2910 - 2922
  • [48] Improving Track Initiation Performance by Track Validation Algorithms for Multi-Target Tracking in Heavy Clutter
    Sonmez, Hasan Huseyin
    Turgut, Kubra
    Hocaoglu, Ali Koksal
    [J]. 2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [49] Multi-sensor Interactive Multi-model PHD Filter for Maneuvering Multi-target Tracking
    Tian, Shurong
    Sun, Xiaoshu
    Sun, Xijing
    [J]. INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS II, PTS 1-3, 2013, 336-338 : 200 - +
  • [50] Underwater multi-target tracking using improved multi-sensor multi-Bernoulli filter
    Wang, Guanqun
    Zhang, Chunhua
    Yin, Li
    Li, Yu
    Zhang, Yangfan
    [J]. Shengxue Xuebao/Acta Acustica, 2021, 46 (04): : 508 - 518