Object Detection Using Local Difference Patterns

  title={Object Detection Using Local Difference Patterns},
  author={Satoshi Yoshinaga and A. Shimada and H. Nagahara and R. Taniguchi},
  • Satoshi Yoshinaga, A. Shimada, +1 author R. Taniguchi
  • Published in ACCV 2010
  • Computer Science
  • We propose a new method of background modeling for object detection. Many background models have been previously proposed, and they are divided into two types: "pixel-based models" which model stochastic changes in the value of each pixel and "spatial-based models" which model a local texture around each pixel. Pixel-based models are effective for periodic changes of pixel values, but they cannot deal with sudden illumination changes. On the contrary, spatial-based models are effective for… CONTINUE READING
    16 Citations

    Topics from this paper

    Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow
    • 31
    • PDF
    Improving background subtraction using Local Binary Similarity Patterns
    • 123
    • PDF
    Background light ray modeling for change detection
    • 1
    On the Role and the Importance of Features for Background Modeling and Foreground Detection
    • 62
    • Highly Influenced
    • PDF
    A simple and efficient object detection method based on saliency measure for infrared radiation image
    • 1
    • PDF
    Moving Object Detection in Video via Hierarchical Modeling and Alternating Optimization
    • L. Li, Q. Hu, X. Li
    • Computer Science, Medicine
    • IEEE Transactions on Image Processing
    • 2019
    • 8
    • PDF
    Background Modeling Based on Bidirectional Analysis
    • 30
    • 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
    A texture-based method for modeling the background and detecting moving objects
    • 1,245
    • PDF
    Dynamic Control of Adaptive Mixture-of-Gaussians Background Model
    • 102
    • PDF
    A fast algorithm for adaptive background model construction using parzen density estimation
    • 47
    Robust object detection using a Radial Reach Filter (RRF)
    • 19
    Fusion of background estimation approaches for motion detection in non-static backgrounds
    • 30
    Wallflower: principles and practice of background maintenance
    • 1,994
    • PDF