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Occlusion Boundary Detection and Figure/Ground Assignment from Optical Flow

8 years 3 months ago
Occlusion Boundary Detection and Figure/Ground Assignment from Optical Flow
In this work, we propose a contour and region detector for video data that exploits motion cues and distinguishes occlusion boundaries from internal boundaries based on optical flow. This detector outperforms the state-of-the-art on the benchmark of Stein and Hebert [24], improving average precision from .58 to .72. Moreover, the optical flow on and near occlusion boundaries allows us to assign a depth ordering to the adjacent regions. To evaluate performance on this edge-based figure/ground labeling task, we introduce a new video dataset that we believe will support further research in the field by allowing quantitative comparison of computational models for occlusion boundary detection, depth ordering and segmentation in video sequences.
Patrik Sundberg, Jitendra Malik, Michael Maire, Pa
Added 28 Mar 2011
Updated 29 Apr 2011
Type Journal
Year 2011
Where CVPR
Authors Patrik Sundberg, Jitendra Malik, Michael Maire, Pablo Arbelaez, Thomas Brox
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