Background updating for visual surveillance

被引:0
|
作者
Kim, K
Harwood, D
Davis, LS
机构
[1] IPIX Corp, Reston, VA 20190 USA
[2] Univ Maryland, Comp Vis Lab, College Pk, MD 20742 USA
来源
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Scene changes such as moved objects, parked vehicles, or opened/closed doors need to be carefully handled so that interesting foreground targets can be detected along with the short-term background layers created by those changes. A simple layered modeling technique is embedded into a codebook-based background subtraction algorithm to update a background model. In addition, important issues related to background updating for visual surveillance are discussed. Experimental results on surveillance examples, such as unloaded packages and unattended objects, are presented by showing those objects as short-term background layers.
引用
收藏
页码:337 / 346
页数:10
相关论文
共 50 条
  • [1] A supervised approach in background modelling for visual surveillance
    Spagnolo, P
    Leo, M
    Attolico, G
    Distante, A
    [J]. AUDIO-BASED AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, 2003, 2688 : 592 - 599
  • [2] Real-time and robust background updating for video surveillance and monitoring
    Luo, XZ
    Bhandarkar, SM
    [J]. IMAGE ANALYSIS AND RECOGNITION, 2005, 3656 : 1226 - 1233
  • [3] Object Detection in Dynamic Background for Visual Surveillance Applications
    Yadav, Dileep Kumar
    Singh, Karan
    [J]. 2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2015, : 1601 - 1606
  • [4] Updating views of visual updating
    Assad, John A.
    [J]. NATURE, 2014, 507 (7493) : 434 - 435
  • [5] A novel robust statistical method for background initialization and visual surveillance
    Wang, HZ
    Suter, D
    [J]. COMPUTER VISION - ACCV 2006, PT I, 2006, 3851 : 328 - 337
  • [6] Visual Surveillance using Background Model Image Generated by GAN
    Kim, Jae-Yeul
    Ha, Jong-Eun
    [J]. 2020 20TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2020, : 292 - 295
  • [7] Estimation of Dynamic Background and Object Detection in Noisy Visual Surveillance
    Sankari, M.
    Meena, C.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2011, 2 (06) : 77 - 83
  • [8] Updating views of visual updating
    John A. Assad
    [J]. Nature, 2014, 507 : 434 - 435
  • [9] An Improved Method for Visual Surveillance using Background Subtraction Technique
    Sharma, Lavanya
    Yadav, Dileep Kumar
    Bharti, Sunil Kumar
    [J]. 2ND INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN) 2015, 2015, : 421 - 426
  • [10] AN EFFICIENT SURVEILLANCE CODING METHOD BASED ON A TIMELY AND BIT-SAVING BACKGROUND UPDATING MODEL
    Chen, Wei
    Zhang, Xianguo
    Tian, Yonghong
    Huang, Tiejun
    [J]. 2012 IEEE VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), 2012,