Image subtraction for real time moving object extraction

Author

Desa, Shahbe Mat ; Salih, Qussay A.

Author_Institution

Fac. of Inf. Technol., Multimedia Univ., Malaysia

fYear

2004

fDate

26-29 July 2004

Firstpage

41

Lastpage

45

Abstract

This paper studies the task of extracting moving object from static irrelevant background. The implementation is prepared for the purpose of real time application. Some image processing concepts related to this study are first presented and improvement is proposed. We have obtained motion mask by applying background subtraction and consecutive frame differencing. We also propose a reliable background update and noise reduction operator to facilitate the result of moving object extraction. The analysis and result are obtained by using Matlab Image Processing Toolbox Version 6.01.

Keywords

feature extraction; image motion analysis; real-time systems; Matlab Image Processing Toolbox Version 6.01; background subtraction; consecutive frame differencing; image processing; image subtraction; motion mask; noise reduction; real time moving object extraction; Data mining; Image processing; Layout; Motion analysis; Motion detection; Noise reduction; Object recognition; Real time systems; Surveillance; Vehicle dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics, Imaging and Visualization, 2004. CGIV 2004. Proceedings. International Conference on

Print_ISBN

0-7695-2178-9

Type

conf

DOI

10.1109/CGIV.2004.1323958

Filename

1323958