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 :
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