An algorithm for moving objects segmentation based on MRF

Author

Shi, Dongcheng ; Han, Yuanrong

Author_Institution

Coll. of Comput. Sci. & Eng, Changchun Univ. of Technol., Changchun, China

Volume

3

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

1396

Lastpage

1399

Abstract

In this paper, an algorithm for moving objects segmentation based on MRF is provided. Firstly, initial segmentation for image sequences is introduced, and initial label field is gained. Then, according to the equivalence between GRF distribution and MRF distribution, corresponding energy function is formed. Finally, the label filed is obtained and the moving object is extracted. Experimental results show that moving object from video can be segmented effectively by this algorithm.

Keywords

Markov processes; feature extraction; image motion analysis; image segmentation; image sequences; video signal processing; GRF distribution; Gibbs random field; MRF distribution; Markov random field; energy function; image sequences; initial label field; moving object extraction; moving object segmentation algorithm; Adaptation models; Clustering algorithms; Image segmentation; Image sequences; Markov random fields; Object segmentation; Optimization; MRF; kmeans; moving object; segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6100437

Filename

6100437