Multi-layered Background Modeling for Complex Environment Surveillance

  title={Multi-layered Background Modeling for Complex Environment Surveillance},
  author={Satoshi Yoshinaga and A. Shimada and H. Nagahara and R. Taniguchi and Koichiro Kajitani and Takeshi Naito},
  journal={2013 2nd IAPR Asian Conference on Pattern Recognition},
  • Satoshi Yoshinaga, A. Shimada, +3 authors Takeshi Naito
  • Published 2013
  • Computer Science
  • 2013 2nd IAPR Asian Conference on Pattern Recognition
  • Many background models have been proposed to adapt to "illumination changes" and "dynamic changes" such as swaying motion of tree branches. However, the problem of background maintenance in complex environment, where foreground objects pass in front of stationary objects which cease moving, is still far from being completely solved. To address this problem, we propose a framework for multi-layered background modeling, in which we conserve the background models for stationary objects… CONTINUE READING
    1 Citations

    Figures, Tables, and Topics from this paper

    Explore Further: Topics Discussed in This Paper


    Multiple layer based background maintenance in complex environment
    • 15
    • PDF
    Adaptive background mixture models for real-time tracking
    • C. Stauffer, W. Grimson
    • Mathematics, Computer Science
    • Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)
    • 1999
    • 7,404
    • PDF
    Statistical Local Difference Pattern for Background Modeling
    • 10
    • PDF
    A fast algorithm for adaptive background model construction using parzen density estimation
    • 47
    Appearance Derivatives for Isonormal Clustering of Scenes
    • S. Koppal, S. Narasimhan
    • Computer Science, Medicine
    • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • 2009
    • 21
    • Highly Influential
    Multi-Layer Background Subtraction Based on Color and Texture
    • Jian Yao, J. Odobez
    • Mathematics, Computer Science
    • 2007 IEEE Conference on Computer Vision and Pattern Recognition
    • 2007
    • 278
    • PDF
    Layered detection for multiple overlapping objects
    • H. Fujiyoshi, T. Kanade
    • Computer Science
    • Object recognition supported by user interaction for service robots
    • 2002
    • 46
    Robust object detection using a Radial Reach Filter (RRF)
    • 14
    A texture-based method for modeling the background and detecting moving objects
    • 1,245
    • PDF