Simultaneous Detection and Removal of Dynamic Objects in Multi-view Images
December 11, 2019 Β· Declared Dead Β· π IEEE Workshop/Winter Conference on Applications of Computer Vision
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Authors
Gagan Kanojia, Shanmuganathan Raman
arXiv ID
1912.05591
Category
cs.CV: Computer Vision
Citations
1
Venue
IEEE Workshop/Winter Conference on Applications of Computer Vision
Last Checked
3 months ago
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.
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