Simultaneous detection and removal of dynamic objects in multi-view images

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dc.contributor.author Kanojia, Gagan
dc.contributor.author Raman, Shanmuganathan
dc.date.accessioned 2019-12-18T12:44:35Z
dc.date.available 2019-12-18T12:44:35Z
dc.date.issued 2019-12
dc.identifier.citation Kanojia, Gagan and Raman, Shanmuganathan, "Simultaneous detection and removal of dynamic objects in multi-view images", arXiv, Cornell University Library, DOI: arXiv:1912.05591, Dec. 2019. en_US
dc.identifier.uri http://arxiv.org/abs/1912.05591
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/5036
dc.description.abstract Consider a set of images of a scene consisting of moving objects captured using a hand-held camera. In this work, we propose an algorithm which takes this set of multi-view images as input, detects the dynamic objects present in the scene, and replaces them with the static regions which are being occluded by them. The proposed algorithm scans the reference image in the row-major order at the pixel level and classifies each pixel as static or dynamic. During the scan, when a pixel is classified as dynamic, the proposed algorithm replaces that pixel value with the corresponding pixel value of the static region which is being occluded by that dynamic region. We show that we achieve artifact-free removal of dynamic objects in multi-view images of several real-world scenes. To the best of our knowledge, we propose the first method which simultaneously detects and removes the dynamic objects present in multi-view images.
dc.description.statementofresponsibility by Gagan Kanojia and Shanmuganathan Raman
dc.language.iso en_US en_US
dc.publisher Cornell University Library en_US
dc.subject Computer Vision en_US
dc.subject Pattern Recognition (cs.CV) en_US
dc.title Simultaneous detection and removal of dynamic objects in multi-view images en_US
dc.type Pre-Print en_US
dc.relation.journal arXiv


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