Layered RC Circuit with Dynamic Resistances for Background Subtraction

被引：0
|
作者：
Mozdren, Karel [1 ]
Sojka, Eduard [1 ]
Fusek, Radovan [1 ]
Surkala, Milan [1 ]
机构：
[1] VSB Tech Univ Ostrava, FEECS, 17 Listopadu 15-2172, Ostrava 70833, Czech Republic
来源：
2014 4TH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA) | 2014年
关键词：
background subtraction; RC circuit; dynamic resistances; moving objects;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Background subtraction is a widely used technique for moving object extraction from video sequences. This technique is a basic component in many surveillance systems. Numerous methods for background subtraction were developed in recent year, and one of them is the Layered RC circuit for background subtraction. This novel method uses a model of RC circuits for background modeling. We have studied this method, and we have developed an improvement of this method using dynamic resistances in the model. This work introduces the reader to background subtraction, discuses related works, describes basic layered LR circuit model, and our improvement to the method. Then, it provides the reader with experiments and a discussion over the results.
引用
收藏
页码：384 / 389
页数：6
相关论文
共 50 条
  • [21] Background Subtraction with Dynamic Noise Sampling and Complementary Learning
    Ge, Weifeng
    Dong, Yuhan
    Guo, Zhenhua
    Chen, Youbin
    [J]. 2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2014, : 2341 - 2346
  • [22] 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
  • [23] DYNAMIC BACKGROUND SUBTRACTION BASED ON LOCAL DEPENDENCY HISTOGRAM
    Zhang, Shengping
    Yao, Hongxun
    Liu, Shaohui
    [J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2009, 23 (07) : 1397 - 1419
  • [24] DYNAMIC BACKGROUND SUBTRACTION BASED ON APPEARANCE AND MOTION PATTERN
    Yin, Haiyan
    Yang, Hua
    Su, Hang
    Zhang, Chongyang
    [J]. ELECTRONIC PROCEEDINGS OF THE 2013 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW), 2013,
  • [25] Dynamic Deep Pixel Distribution Learning for Background Subtraction
    Zhao, Chenqiu
    Basu, Anup
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 30 (11) : 4192 - 4206
  • [26] 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
  • [27] Robust Online Matrix Factorization for Dynamic Background Subtraction
    Yong, Hongwei
    Meng, Deyu
    Zuo, Wangmeng
    Zhang, Lei
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 40 (07) : 1726 - 1740
  • [28] 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
  • [29] OR-PCA with Dynamic Feature Selection for Robust Background Subtraction
    Javed, Sajid
    Sobral, Andrews
    Bouwmans, Thierry
    Jung, Soon Ki
    [J]. 30TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, VOLS I AND II, 2015, : 86 - 91
  • [30] Local Histogram of Figure/Ground Segmentations for Dynamic Background Subtraction
    Bineng Zhong
    Hongxun Yao
    Shaohui Liu
    Xiaotong Yuan
    [J]. EURASIP Journal on Advances in Signal Processing, 2010
12345