An improved method for multiple targets tracking

被引:0
|
作者
朱青 [1 ]
刘宏立 [1 ]
陈炳权 [1 ]
李劲菊 [1 ]
万琴 [2 ]
孙猛 [1 ]
袁小芳 [1 ]
机构
[1] College of Electrical and Information Engineering,Hunan University
[2] College of Electrical and Information Engineering,Hunan Institute of Engineering
基金
中国国家自然科学基金;
关键词
Kalman prediction; feature matching; centroid and area matching equations; image occluded processing; matching matrix algorithm;
D O I
暂无
中图分类号
TP391.41 [];
学科分类号
080203 ;
摘要
The difficulty of multiple targets tracking is how to quickly fulfill the target matching from one frame image to another and fix the position of the target.In order to accurately choose target feature information for reliable matching,simplify operations under the reliable precondition,and realize precise moving objects tracking,an approach based on Kalman prediction and feature matching was proposed.The position of the target in next frame image was predicted by Kalman,and then the moving objects of two adjacent frames were matched by the centroid and area methods.When occlusion occurs,the best matching result was found to realize tracking by matching matrix algorithm.The simulation results show that the proposed method can achieve multiple targets tracking accurately and in real-time under complicated motion movements.
引用
收藏
页码:2852 / 2859
页数:8
相关论文
共 50 条
  • [1] An improved method for multiple targets tracking
    Qing Zhu
    Hong-li Liu
    Bing-quan Chen
    Jin-ju Li
    Qin Wan
    Meng Sun
    Xiao-fang Yuan
    [J]. Journal of Central South University, 2012, 19 : 2852 - 2859
  • [2] An improved method for multiple targets tracking
    Zhu Qing
    Liu Hong-li
    Chen Bing-quan
    Li Jin-ju
    Wan Qin
    Sun Meng
    Yuan Xiao-fang
    [J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2012, 19 (10) : 2852 - 2859
  • [3] Improved tracking algorithm for multiple targets
    Hou, S. Y.
    Wu, C. S.
    Hung, H. S.
    Chang, S. H.
    [J]. OCEANS 2008 - MTS/IEEE KOBE TECHNO-OCEAN, VOLS 1-3, 2008, : 436 - +
  • [4] An improved IMMJPDA algorithm for tracking multiple maneuvering targets in clutter
    Mao, Dongcai
    Xue, Anke
    Peng, Dongliang
    Guo, Yunfei
    [J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 4317 - +
  • [5] An efficient visual tracking method for multiple moving targets
    Chen, Xiaohui
    Bull, David R.
    Mihaylova, Lyudmila
    Canagarajah, Nishan
    [J]. CIS WORKSHOPS 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY WORKSHOPS, 2007, : 267 - +
  • [6] Management method for multiple sensors' recognizing and tracking multiple targets cooperatively
    Pang, Ce
    Shan, Ganlin
    Duan, Xiusheng
    [J]. Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2019, 45 (08): : 1674 - 1680
  • [7] Tracking Multiple Video Targets with an Improved GM-PHD Tracker
    Zhou, Xiaolong
    Yu, Hui
    Liu, Honghai
    Li, Youfu
    [J]. SENSORS, 2015, 15 (12) : 30240 - 30260
  • [8] Vision-Based Tracking Method to Multiple Interacting Targets
    Honda, Tatsuya
    Takahashi, Satoru
    Takauji, Hidenori
    Kaneko, Shun'ichi
    [J]. IECON 2010 - 36TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2010,
  • [9] A method for multiple morph targets tracking based on region growing
    Chen, Heng-Xin
    Fang, Bin
    Tang, Yijan-Yan
    [J]. 2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS, 2007, : 194 - 197
  • [10] A Random Matrix Based Method for Tracking Multiple Extended Targets
    Zhu, Hongyan
    Ma, Tingting
    Chen, Shuo
    Jiang, Wen
    [J]. 2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2014,