Title :
A texture-based method for modeling the background and detecting moving objects
Author :
Heikkilä, Marko ; Pietikäinen, Matti
Author_Institution :
Dept. of Electr. & Inf. Eng., Oulu Univ., Finland
fDate :
4/1/2006 12:00:00 AM
Abstract :
This paper presents a novel and efficient texture-based method for modeling the background and detecting moving objects from a video sequence. Each pixel is modeled as a group of adaptive local binary pattern histograms that are calculated over a circular region around the pixel. The approach provides us with many advantages compared to the state-of-the-art. Experimental results clearly justify our model.
Keywords :
image sequences; image texture; motion estimation; object detection; video signal processing; adaptive local binary pattern histograms; background modeling; moving object detection; texture-based method; video sequence; Cameras; Gaussian distribution; Histograms; Jitter; Layout; Lighting; Object detection; Statistics; Vegetation; Video sequences; Motion; background subtraction; local binary pattern.; texture; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Models, Biological; Movement; Pattern Recognition, Automated; Photography; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Video Recording;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2006.68
