Title :
Automatic Video Object Segmentation with Opacity Estimate
Author :
Hu, Wu-Chih ; Huang, Deng-Yuan ; Yang, Ching-Yu ; Hsu, Jung-Fu
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Penghu Univ. of Sci. & Technol., Penghu, Taiwan
Abstract :
This paper proposes an automatic video object segmentation with opacity estimate to obtain good alpha mattes and the foreground objects. In the proposed method, the trimap is automatically generated from the result obtained using video object segmentation based on motion information without background construction. Next, closed-form matting is used with the automatically generated trimaps to yield the alpha mattes and the foreground objects. Experimental results show that the proposed method has good performance in video object segmentation with opacity estimate.
Keywords :
image motion analysis; image segmentation; video signal processing; automatic video object segmentation; closed-form matting; motion information; opacity estimate; Image color analysis; Image segmentation; Motion detection; Object segmentation; Pixel; Real time systems; Streaming media; alpha matte; image matting; opacity estimate; trimap; video object segmentation;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
DOI :
10.1109/ICGEC.2010.174