NDLI: Depth order estimation for video frames using motion occlusions

Content Provider	IET Digital Library
Author	Palou, Guillem Salembier, Philippe
Abstract	This study proposes a system to estimate the depth order of regions belonging to a monocular image sequence. For each frame, the regions are ordered according to their relative depth using information from the previous and following frames. The algorithm estimates occlusions relying on a hierarchical region-based representation of the image by means of a binary tree. This representation is used to define the final depth order partition which is obtained through an energy minimisation process. Finally, to achieve a global and consistent depth ordering, a depth order graph is constructed and used to eliminate contradictory local cues. The system is evaluated and compared with the state-of-the-art figure/ground labelling systems showing very good results.
Starting Page	152
Ending Page	160
Page Count	9
ISSN	17519632
Volume Number	8
e-ISSN	17519640
Issue Number	Issue 2, Apr (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/8/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2012.0287
Journal	IET Computer Vision
Publisher Date	2013-08-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Binary Tree Combinatorial Mathematics Computer Vision And Image Processing Technique Consistent Depth Ordering Depth Order Graph Depth Order Partition Energy Minimisation Process Figure-ground Labelling System Global Depth Ordering Hierarchical Region-based Representation Image Motion Analysis Image Representation Image Sequence Mathematics Minimisation Monocular Image Sequence Motion Occlusions Optical, Image And Video Signal Processing Optimisation Technique Relative Depth Trees Video Frames Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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