The Community for Technology Leaders
Green Image
Issue No. 03 - March (2011 vol. 33)
ISSN: 0162-8828
pp: 603-617
Guofeng Zhang , Zhejiang University, Hangzhou
Jiaya Jia , The Chinese University of Hong Kong, Hong Kong
Wei Hua , Zhejiang University, Hangzhou
Hujun Bao , Zhejiang University, Hangzhou
Extracting high-quality dynamic foreground layers from a video sequence is a challenging problem due to the coupling of color, motion, and occlusion. Many approaches assume that the background scene is static or undergoes the planar perspective transformation. In this paper, we relax these restrictions and present a comprehensive system for accurately computing object motion, layer, and depth information. A novel algorithm that combines different clues to extract the foreground layer is proposed, where a voting-like scheme robust to outliers is employed in optimization. The system is capable of handling difficult examples in which the background is nonplanar and the camera freely moves during video capturing. Our work finds several applications, such as high-quality view interpolation and video editing.
Bilayer segmentation, depth recovery, motion estimation, video editing.

H. Bao, W. Hua, J. Jia and G. Zhang, "Robust Bilayer Segmentation and Motion/Depth Estimation with a Handheld Camera," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 33, no. , pp. 603-617, 2010.
87 ms
(Ver 3.3 (11022016))