DocumentCode
642919
Title
Background substraction in grayscale images algorythm
Author
Sadykhov, Rauf Kh ; Kuchuk, Sergey A.
Author_Institution
Belorussian State Univ. of Inf. & Radioelectron., Minsk, Belarus
Volume
01
fYear
2013
fDate
12-14 Sept. 2013
Firstpage
425
Lastpage
428
Abstract
An improvement of J.C.S. Jacques, C.R. Jung, S.R. Musse background subtraction and shadow detection in grayscale video sequences method [1] is proposed. Described improvements reduce amount of false positive results of background subtraction (especially in light and monotonous areas) and its sizes, improve background model quality, provide better outcome results.
Keywords
image sequences; object detection; video signal processing; background model quality; background substraction; grayscale images algorithm; grayscale video sequences method; shadow detection; Computational modeling; Conferences; Diamonds; Gray-scale; Real-time systems; Search problems; Training; algorithms; image analysis; image motion analysis; image processing; video surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location
Berlin
Print_ISBN
978-1-4799-1426-5
Type
conf
DOI
10.1109/IDAACS.2013.6662720
Filename
6662720
Link To Document