Multi view registration for novelty/background separation
2012 (English)In: Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE Computer Society, 2012, 757-764 p.Conference paper (Refereed)
We propose a system for the automatic segmentation of novelties from the background in scenarios where multiple images of the same environment are available e.g. obtained by wearable visual cameras. Our method finds the pixels in a query image corresponding to the underlying background environment by comparing it to reference images of the same scene. This is achieved despite the fact that all the images may have different viewpoints, significantly different illumination conditions and contain different objects cars, people, bicycles, etc. occluding the background. We estimate the probability of each pixel, in the query image, belonging to the background by computing its appearance inconsistency to the multiple reference images. We then, produce multiple segmentations of the query image using an iterated graph cuts algorithm, initializing from these estimated probabilities and consecutively combine these segmentations to come up with a final segmentation of the background. Detection of the background in turn highlights the novel pixels. We demonstrate the effectiveness of our approach on a challenging outdoors data set.
Place, publisher, year, edition, pages
IEEE Computer Society, 2012. 757-764 p.
, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919
Automatic segmentations, Background environment, Data sets, Graph cut, Illumination conditions, Multi-view registration, Multiple image, Multiple reference images, Multiple segmentation, Query images, Reference image, Computer vision, Pixels, Image segmentation
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:kth:diva-105314DOI: 10.1109/CVPR.2012.6247746ISI: 000309166200095ScopusID: 2-s2.0-84866662308ISBN: 978-146731226-4OAI: oai:DiVA.org:kth-105314DiVA: diva2:570942
2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012, 16 June 2012 through 21 June 2012, Providence, RI
FunderICT - The Next Generation
QC 201211212012-11-212012-11-202014-06-04Bibliographically approved