NDLI: VabCut: A video extension of GrabCut for unsupervised video foreground object segmentation

Content Provider	IEEE Xplore Digital Library
Author	Poullot, Sebastien Satoh, Shin'Ichi
Copyright Year	2014
Description	Author affiliation: NII, Tokyo, Japan (Poullot, Sebastien; Satoh, Shin'Ichi)
Abstract	This paper introduces VabCut, a video extension of GrabCut, an original unsupervised solution to tackle the video foreground object segmentation task. Vabcut works on an extension of the RGB colour domain to RGBM, where M is the motion. It requires a prior step: the computation of the motion layer (M-layer) of the frame to segment. In order to compute this layer we propose to intersect the frame to segment with N temporally close aligned frames. This paper also introduces a new iterative and collaborative method for an optimal frame alignment, based on points of interest and RANSAC, which automatically discards outliers and refines the homographies in turns. The whole method is fully automatic and can handle standard video, i.e. not professional, shaky, blurry or else. We tested VabCut on the SegTrack 2011 benchmark, and demonstrated its effectiveness, it especially outperforms the state of the art methods while being faster.
Starting Page	362
Ending Page	371
File Size	1626720
Page Count	10
File Format	PDF
ISBN	9789897581335
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-05
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	SCITEPRESS
Subject Keyword	Object segmentation Motion M-layer Points of Interest Outliers Removal Video Segmentation Image segmentation GrabCut Motion segmentation Collaboration Frame Alignment Benchmark testing Cameras Silicon
Content Type	Text
Resource Type	Article

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