A Method of Multi-Target Tracking Based on IACDA and Particle Filter

被引：0
|
作者：
Di, Yi [1 ]
Gu, Xiaohui [1 ]
机构：
[1] Nanjing Univ Sci & Technol, ZNDY Ministerial Key Lab, Nanjing, Jiangsu, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON CONTROL SYSTEM AND AUTOMATION (CSA 2013) | 2013年
关键词：
Improved Ant Colony Algorithm; Data Association; Particle Filter; Combinatorial Optimization; TARGET TRACKING;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For the key problem of multi-target tracking, a new method for multi-target tracking is given based on improved ant colony algorithm (IACA) [2-4] and particle filter in this paper. Firstly, it constructs multi-target tracking mode, turns the issue to combinatorial optimization problems and the improved ant colony algorithm is applied to the trajectory in the multi-target tracking data association. Secondly, it puts the result into data fusion, and then, particle filter is given to the trajectory in the multi-target tracking state estimation based on its advantage to solve nonlinear problems. Finally, a simulation experiment is given to verify the effectiveness and advantage of the obtained multi-targets tracking method based on IACA and PF.
引用
收藏
页码：466 / 473
页数：8
相关论文
共 50 条
  • [1] Multi-target Tracking of Zebrafish based on Particle Filter
    Cong Heng
    Sun Mingzhu
    Zhou Duoying
    Zhao Xin
    [J]. PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 10308 - 10313
  • [2] A particle filter approach for multi-target tracking
    Ryu, HwangRyol
    Huber, Manfred
    [J]. 2007 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-9, 2007, : 2759 - +
  • [3] Algorithm of multi-target tracking based on improved particle filter
    Liu, Guo-Cheng
    Wang, Yong-Ji
    [J]. Kongzhi yu Juece/Control and Decision, 2009, 24 (02): : 317 - 320
  • [4] Multi-target Tracking Based on Improved Particle Filter Algorithm
    Tan Yumei
    Ling Yongfa
    Wang Hui
    Yang Longwen
    [J]. 2017 INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS, ELECTRONICS AND CONTROL (ICCSEC), 2017, : 1285 - 1288
  • [5] Gaussian Particle JPDA Filter based multi-target tracking
    Zhang, Jun-Gen
    Ji, Hong-Bing
    Cai, Shao-Xiao
    [J]. Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2010, 32 (11): : 2686 - 2690
  • [6] Multi-target tracking method based on improved firefly algorithm optimized particle filter
    Tian, Mengchu
    Bo, Yuming
    Chen, Zhimin
    Wu, Panlong
    Yue, Cong
    [J]. NEUROCOMPUTING, 2019, 359 : 438 - 448
  • [7] The Application of Particle Filter Algorithm in Multi-target Tracking
    Liu, Jiaomin
    Meng, Junying
    Wang, Juan
    Han, Ming
    [J]. ADVANCES IN MULTIMEDIA, SOFTWARE ENGINEERING AND COMPUTING, VOL 2, 2011, 129 : 419 - 424
  • [8] Unsupervised video multi-target tracking based on fast resampling particle filter
    Wang Tiancheng
    [J]. JOURNAL OF SUPERCOMPUTING, 2020, 76 (02): : 1293 - 1304
  • [9] Development of the multi-target tracking scheme using particle filter
    Lee, Yang Weon
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 3, PROCEEDINGS, 2007, 4493 : 1192 - 1201
  • [10] Modified Particle Implementation of the PHD Filter for Multi-target Tracking
    Yang Wei
    Fu Yaowen
    Zhou Jiaqin
    Wang Hongqiang
    Li Xiang
    [J]. PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3, 2012, : 1799 - +
12345