%0 Journal Article %1 Palou2012c %A Palou, Guillem %A Salembier, Philippe %D 2013 %J IET Computer Vision %K depth depth; frames;consistent global graph;depth image labelling minimisation occlusions;video order ordering;binary ordering;monocular partition;motion process;hierarchical region-based representation;relative sequence;depth systems;energy tree;figure-ground %T Depth order estimation for video frames using motion occlusions %U http://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2012.0287 %V 7 %X 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.

@article{Palou2012c, 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.}, added-at = {2013-09-29T14:16:50.000+0200}, author = {Palou, Guillem and Salembier, Philippe}, biburl = {https://www.bibsonomy.org/bibtex/254e90b1c0e8590c2b7d73eb76405a9a0/guillem.palou}, copyright = {� The Institution of Engineering and Technology}, interhash = {56ca4281e5feecdae796fda0a9435fae}, intrahash = {54e90b1c0e8590c2b7d73eb76405a9a0}, journal = {IET Computer Vision}, keywords = {depth depth; frames;consistent global graph;depth image labelling minimisation occlusions;video order ordering;binary ordering;monocular partition;motion process;hierarchical region-based representation;relative sequence;depth systems;energy tree;figure-ground}, timestamp = {2013-09-29T14:16:50.000+0200}, title = {Depth order estimation for video frames using motion occlusions}, url = {http://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2012.0287}, volume = 7, year = 2013 }