Adaptive Background Modeling for Paused Object Regions

@inproceedings{Shimada2010AdaptiveBM,
  title={Adaptive Background Modeling for Paused Object Regions},
  author={A. Shimada and Satoshi Yoshinaga and R. Taniguchi},
  booktitle={ACCV Workshops},
  year={2010}
}
  • A. Shimada, Satoshi Yoshinaga, R. Taniguchi
  • Published in ACCV Workshops 2010
  • Computer Science
  • Background modeling has been widely researched to detect moving objects from image sequences. Most approaches have a falsenegative problem caused by a stopped object. When a moving object stops in an observing scene, it will be gradually trained as background since the observed pixel value is directly used for updating the background model. In this paper, we propose 1) a method to inhibit background training, and 2) a method to update an original background region occluded by stopped object. We… CONTINUE READING
    3 Citations

    Topics from this paper

    Visual-Attention-Based Background Modeling for Detecting Infrequently Moving Objects
    • 31
    • PDF

    References

    SHOWING 1-10 OF 15 REFERENCES
    Robust Abandoned Object Detection Using Dual Foregrounds
    • 179
    Hybrid Background Model Using Spatial-Temporal LBP
    • A. Shimada, R. Taniguchi
    • Computer Science
    • 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
    • 2009
    • 34
    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
    • 7,398
    • PDF
    Towards Robust Object Detection: Integrated Background Modeling Based on Spatio-temporal Features
    • 25
    A Texture-based Method for Detecting Moving Objects
    • 167
    • PDF
    A fast algorithm for adaptive background model construction using parzen density estimation
    • 47
    Learning object motion patterns for anomaly detection and improved object detection
    • 324
    • PDF
    Dynamic Control of Adaptive Mixture-of-Gaussians Background Model
    • 102
    • PDF
    Moving cast shadow detection from a Gaussian mixture shadow model
    • N. Martel-Brisson, A. Zaccarin
    • Computer Science
    • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
    • 2005
    • 116