A Visual Tracking Based on Particle Filter of Multi-algorithm Fusion

被引：0
作者：
Li, Tao [1 ]
Sun, Qiyuan [1 ,2 ]
机构：
[1] Tianjin Univ Technol, Sch Mech Engn, Tianjin 300384, Peoples R China
[2] Tianjin Key Lab Control Theory & Applicat Complic, Tianjin, Peoples R China
来源：
APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY | 2014年 / 513-517卷
关键词：
Visual tracking; Particle filter; Mean shift; Genetic algorithm; Resampling;
D O I：
10.4028/www.scientific.net/AMM.513-517.2893
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
A novel visual tracking algorithm based on particle filter with multi-algorithm fusion is proposed. Mean shift is employed to make particles distribute more reasonably in order to maintain tracking accuracy by using fewer particles, and the genetic evolution ideas is introduced to increase the diversity of samples by applying selection, crossover and mutation operator to achieve particles resampling. The experiments show that the tracking performance of the proposed method, compared with Mean Shift Embedded Particle Filter(MSEPF), is significantly improved.
引用
收藏
页码：2893 / 2896
页数：4
相关论文
共 50 条
  • [1] A NOVEL VISUAL TRACKING ALGORITHM BASED ON MULTI-CUES FUSION AND PARTICLE FILTER
    Xi, Tao
    Yuan, Kui
    Zhang, Shengxiu
    Yan, Shiyuan
    [J]. PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, 2008, : 987 - 991
  • [2] Visual Tracking Based on Particle Filter Algorithm
    Wang Yueling
    Wang Rangding
    [J]. PROCEEDINGS OF INTERNATIONAL SYMPOSIUM ON IMAGE ANALYSIS & SIGNAL PROCESSING, 2009, 2009, : 9 - 13
  • [3] Visual Tracking Algorithm by Particle Filter and EM Based on Multi-cues
    Sun, Qiao
    Zhang, Shengxiu
    Cao, Lijia
    Li, Xiaofeng
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2016, : 1850 - 1854
  • [4] Improved Cue Fusion for Object Tracking Algorithm Based on Particle Filter
    Li, Hui
    Zhang, Li
    [J]. EMERGING RESEARCH IN ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, 2011, 237 : 564 - 569
  • [5] Visual tracking with adaptive multi-cue fusion particle filter
    Tian J.
    Qian J.-S.
    Li S.-Y.
    Li D.
    [J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2010, 18 (10): : 2254 - 2261
  • [6] Multi-Feature Fusion in Particle Filter Framework for Visual Tracking
    Bhat, Pranab Gajanan
    Subudhi, Badri Narayan
    Veerakumar, T.
    Laxmi, Vijay
    Gaur, Manoj Singh
    [J]. IEEE SENSORS JOURNAL, 2020, 20 (05) : 2405 - 2415
  • [7] On Particle Filter and Mean Shift Tracking Algorithm Based on Multi-feature Fusion
    Qiao Nan
    Yu Jin-xia
    [J]. 2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 4712 - 4715
  • [8] Hierarchical particle filter tracking algorithm based on multi-feature fusion
    Minggang Gan
    Yulong Cheng
    Yanan Wang
    Jie Chen
    [J]. JournalofSystemsEngineeringandElectronics, 2016, 27 (01) : 51 - 62
  • [9] Hierarchical particle filter tracking algorithm based on multi-feature fusion
    Gan, Minggang
    Cheng, Yulong
    Wang, Yanan
    Chen, Jie
    [J]. JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2016, 27 (01) : 51 - 62
  • [10] An Adaptive Particle Filter Tracking Algorithm Based on Multi-information Fusion
    Fan, Zheyi
    Li, Mo
    Liu, Zhiwen
    [J]. PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3, 2012, : 1092 - 1095
12345