Title :
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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100437
