How Not to Be Seen -- Object Removal from Videos of Crowded Scenes

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dc.contributor.authorGranados, Miguelen_US
dc.contributor.authorTompkin, Jamesen_US
dc.contributor.authorKim, Kwang Inen_US
dc.contributor.authorGrau, Oliveren_US
dc.contributor.authorKautz, Janen_US
dc.contributor.authorTheobalt, Christianen_US
dc.contributor.editorP. Cignoni and T. Ertlen_US
dc.date.accessioned2015-02-28T06:51:06Z
dc.date.available2015-02-28T06:51:06Z
dc.date.issued2012en_US
dc.description.abstractRemoving dynamic objects from videos is an extremely challenging problem that even visual effects professionals often solve with time-consuming manual frame-by-frame editing. We propose a new approach to video completion that can deal with complex scenes containing dynamic background and non-periodical moving objects. We build upon the idea that the spatio-temporal hole left by a removed object can be filled with data available on other regions of the video where the occluded objects were visible. Video completion is performed by solving a large combinatorial problem that searches for an optimal pattern of pixel offsets from occluded to unoccluded regions. Our contribution includes an energy functional that generalizes well over different scenes with stable parameters, and that has the desirable convergence properties for a graph-cut-based optimization. We provide an interface to guide the completion process that both reduces computation time and allows for efficient correction of small errors in the result. We demonstrate that our approach can effectively complete complex, high-resolution occlusions that are greater in difficulty than what existing methods have shown.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume31
dc.identifier.doi10.1111/j.1467-8659.2012.03000.x
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2012.03000.xen_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleHow Not to Be Seen -- Object Removal from Videos of Crowded Scenesen_US
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