Title :
Efficient Background Subtraction and Shadow Removal for Monochromatic Video Sequences
Author :
Jung, Cláudio Rosito
Author_Institution :
PIPCA (Grad. Sch. of Appl. Comput.), Univ. do Vale do Rio dos Sinos, Sao Leopoldo
fDate :
4/1/2009 12:00:00 AM
Abstract :
This letter presents a new method for background subtraction and shadow removal for grayscale video sequences. The background image is modeled using robust statistical descriptors, and a noise estimate is obtained. Foreground pixels are extracted, and a statistical approach combined with geometrical constraints are adopted to detect and remove shadows.
Keywords :
feature extraction; image sequences; interference suppression; object detection; statistical analysis; video signal processing; background subtraction method; foreground pixel extraction; monochromatic video sequence; noise elimination; object tracking; shadow removal method; statistical approach; Background subtraction; monochromatic video sequences; object tracking; shadow removal;
Journal_Title :
Multimedia, IEEE Transactions on
DOI :
10.1109/TMM.2009.2012924
