Patchnet-based background subtraction algorithm for dynamic scenes video

被引：0
|
作者：
Fan, Hui [1 ]
Guo, Jie [2 ]
Li, Jinjiang [1 ]
机构：
[1] School of Computer Science and Technology, Shandong Institute of Business and Technology, No. 191, Binhai Road, Yantai,264005, China
[2] School of Information Science and Engineering, Shandong Normal University, No. 88, Wenhua East Road, Jinan,250014, China
来源：
ICIC Express Letters | 2015年 / 9卷 / 04期
关键词：
Surveying;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we present a method of extracting background which is based on PatchNet. In this process, we build the PatchNet visualization, and segment the figure into several patches, and every patch has its context map. We compute the sum of difference which is constituted among the context map of the same patch. In the end, according to the sum adjudge which is the target. In order to insure the accuracy of result, we combine the PatchNet and SIFT flow to extract the target once again. We compare our method with other two algorithms, and from the experiment, we can see that the extraction result in our methods is better than others ©, 2015 ICIC international.
引用
收藏
页码：1101 / 1107
相关论文
共 50 条
  • [1] Background subtraction in highly dynamic scenes
    Mahadevan, Vijay
    Vasconcelos, Nuno
    [J]. 2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12, 2008, : 1819 - 1824
  • [2] Background modeling and subtraction of dynamic scenes
    Monnet, A
    Mittal, A
    Paragios, N
    Ramesh, V
    [J]. NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS I AND II, PROCEEDINGS, 2003, : 1305 - 1312
  • [3] A self-adaptive subtraction algorithm for dynamic background video
    An, Zhiyong
    Zhang, JiaHui
    Chen, Shuying
    Ji, Hanran
    [J]. THIRD INTERNATIONAL WORKSHOP ON PATTERN RECOGNITION, 2018, 10828
  • [4] Realtime Background Subtraction from Dynamic Scenes
    Cheng, Li
    Gong, Minglun
    [J]. 2009 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2009, : 2066 - 2073
  • [5] Background estimation for dynamic video scenes
    Harasse, Sebastien
    Bonnaud, Laurent
    Desvignes, Michel
    [J]. IECON 2006 - 32ND ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS, VOLS 1-11, 2006, : 2958 - +
  • [6] MULTL-RESOLUTION BACKGROUND SUBTRACTION FOR DYNAMIC SCENES
    Zhong, Bineng
    Liu, Shaohui
    Yao, Hongxun
    Zhang, Baochang
    [J]. 2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 3193 - +
  • [7] Background Subtraction in Dynamic Scenes with Adaptive Spatial Fusing
    Wang, Zhiyu
    Xu, Hui
    Sun, Lifeng
    Yang, Shiqiang
    [J]. 2009 IEEE INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP 2009), 2009, : 301 - 306
  • [8] Generalized Stauffer–Grimson background subtraction for dynamic scenes
    Antoni B. Chan
    Vijay Mahadevan
    Nuno Vasconcelos
    [J]. Machine Vision and Applications, 2011, 22 : 751 - 766
  • [9] Background Subtraction via Early Recurrence in Dynamic Scenes
    Shi, Xun
    Tsotsos, John K.
    [J]. 2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 3172 - 3175
  • [10] Background subtraction in dynamic scenes using the dynamic principal component analysis
    Djerida, Achraf
    Zhao, Zhonghua
    Zhao, Jiankang
    [J]. IET IMAGE PROCESSING, 2020, 14 (02) : 245 - 255
12345