Automatic video object segmentation algorithm based on background reconstruction

Author

Yang, Yuguang ; Wang, Yuan

Author_Institution

Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China

fYear

2011

fDate

26-28 July 2011

Firstpage

235

Lastpage

241

Abstract

An automatic video object segmentation algorithm based on background reconstruction is proposed in this paper. First, HOS (Higher Order Statistics) is used to automatically separate the moving areas from background. The initial object mask is extracted, and the corresponding initial background is also derived. Second, the background is reconstructed using forecasting theory. Finally, the video object is extracted by combining the frame difference mask and background subtraction mask. Furthermore, morphological reconstruction algorithm is also used to eliminate shadow.

Keywords

higher order statistics; image reconstruction; image segmentation; video signal processing; automatic video object segmentation; background reconstruction; background subtraction mask; forecasting theory; frame difference mask; higher order statistics; morphological reconstruction algorithm; object mask; video object extraction; Forecasting; Image reconstruction; Image segmentation; Morphological operations; Motion segmentation; Noise; Object segmentation; background reconstruction; forecasting theory; moving object segmentation; shadow detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2011 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-61284-771-9

Type

conf

DOI

10.1109/ICMT.2011.6002012

Filename

6002012