DocumentCode
2444479
Title
A hybrid codebook background model for background subtraction
Author
Sun, I-Ting ; Hsu, Shih-Chung ; Huang, Chung-Lin
Author_Institution
Dept. of Electr. Eng., Nat. Tsing-Hua Univ., Hsinchu, Taiwan
fYear
2011
fDate
4-7 Oct. 2011
Firstpage
96
Lastpage
101
Abstract
Real-time segmentation of scene into foreground and background is an important issue for many applications. Different from previous codebook (CB) methods, this paper introduces a hybrid CB model by combining the mixture of Gaussian (MOG) method and the CB method. It can be used to solve the problems of moving background and shadow/highlight on the background and background. Our method avoids extracting false foreground pixels or missing real foreground pixels. The experimental results illustrate the advantages of our method over the other methods.
Keywords
Gaussian processes; image segmentation; MOG method; background subtraction; hybrid CB model; hybrid codebook background model; mixture-of-Gaussian method; real-time segmentation; Brightness; Color; Lighting; Power harmonic filters; Shape; Training; Vectors; Background Subtraction; Codebook (CB) model; Mixture of Gaussian (MOG); Shadow removal;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems (SiPS), 2011 IEEE Workshop on
Conference_Location
Beirut
ISSN
2162-3562
Print_ISBN
978-1-4577-1920-2
Type
conf
DOI
10.1109/SiPS.2011.6088956
Filename
6088956
Link To Document