Improved Moving Target Detection Based on Multi-Model Mean Model

被引：1
|
作者：
Wang, Weiwei [1 ]
Gao, Deyong [1 ]
Wang, Yangping [2 ,3 ]
Gao, Decheng [4 ]
机构：
[1] Lanzhou Jiaotong Univ, Sch Elect & Informat Engn, Lanzhou, Gansu, Peoples R China
[2] Gansu Prov Engn Res Ctr Artificial Intelligence &, Lanzhou, Gansu, Peoples R China
[3] Gansu Prov Key Lab Syst Dynam & Reliabil Rail Tra, Lanzhou, Gansu, Peoples R China
[4] Gansu Inst Metrol, Lanzhou, Gansu, Peoples R China
来源：
2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION | 2019年 / 252卷
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1088/1755-1315/252/5/052134
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Aiming at the problem of low detection accuracy of multi-mode mean model in complex scenarios, an improved detection method of moving target based on multi-mode mean model is proposed.Firstly, the background model is constructed using the multi-mode mean value model.According to different scene information, different thresholds are set and adjusted adaptively.The foreground image obtained by background difference method is detected by frame difference method, and the experiment is compared and analyzed.The detection rate and the error rate are reduced, and the detection accuracy is improved. Finally, the simulation results of three-segment video verify the effectiveness of the proposed method.
引用
收藏
页数：7
相关论文
共 50 条
  • [31] A Spatially Adaptive Multi-Model Denoising Strategy for Infrared Dim Small Target Detection
    Ye, Yizhou
    Cai, Yunze
    2014 13TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION (ICARCV), 2014, : 815 - 821
  • [32] Sparse Multi-Model Based Denoising
    Bhatt, Rajesh
    Subramanian, Venkatesh K.
    2016 12TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS), 2016, : 139 - 143
  • [33] Improved Moving Objects Detection Method Based on Codebook Model
    Liu Liwei
    Li Hongwei
    Yu Shuo
    PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC), 2013, : 1351 - 1354
  • [34] Robust multi-model based control
    Soos, Antal
    Malik, Om P.
    2006 IEEE POWER INDIA CONFERENCE, VOLS 1 AND 2, 2006, : 241 - +
  • [35] Moving Vehicles Detection Based on Improved Gaussian Mixture Model
    Ma, Y. L.
    Zhang, Z. C.
    Li, Y. C.
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2015), 2015, 13 : 784 - 787
  • [36] Moving Object Detection Based on Improved Gaussian Mixture Model
    Bian, Zhiguo
    Dong, Xiaoshu
    2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2012, : 109 - 112
  • [37] Main steam temperature multi-model prediction and control method based on a multi-model set
    Liu, Ji-Zhen
    Yue, Jun-Hong
    Tan, Wen
    Reneng Dongli Gongcheng/Journal of Engineering for Thermal Energy and Power, 2008, 23 (04): : 395 - 398
  • [38] Online Detection Method for Transformer Faults Based on Multi-model Fusion
    Wang Y.
    Yu J.
    Peng P.
    Xie J.
    Yi J.
    Tao Z.
    Gaodianya Jishu/High Voltage Engineering, 2023, 49 (08): : 3415 - 3424
  • [39] Multi-model fusion modeling method based on improved Kalman filtering algorithm
    Zhu, Pengfei
    Xia, Luyue
    Pan, Haitian
    Huagong Xuebao/CIESC Journal, 2015, 66 (04): : 1388 - 1394
  • [40] An improved moving multi-human target detection algorithm
    Liang, F. (fm_liang@163.com), 1600, Universitas Ahmad Dahlan, Jalan Kapas 9, Semaki, Umbul Harjo,, Yogiakarta, 55165, Indonesia (11):
12345