What went where

Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

Standard

What went where. / Wills, Josh; Agarwal, Sameer; Belongie, Serge.

I: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Bind 1, 2003, s. I/37-I/44.

Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt

Harvard

Wills, J, Agarwal, S & Belongie, S 2003, 'What went where', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, bind 1, s. I/37-I/44.

APA

Wills, J., Agarwal, S., & Belongie, S. (2003). What went where. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, I/37-I/44.

Vancouver

Wills J, Agarwal S, Belongie S. What went where. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2003;1:I/37-I/44.

Author

Wills, Josh ; Agarwal, Sameer ; Belongie, Serge. / What went where. I: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2003 ; Bind 1. s. I/37-I/44.

Bibtex

@inproceedings{039a217ac9754bec8ea2ce724cb8bfd7,
title = "What went where",
abstract = "We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences by comparing vectors of filter outputs at interest points, from which we compute candidate scene relations via random sampling of minimal subsets of correspondences. We achieve a dense, piecewise smooth assignment of pixels to motion layers using a fast approximate graph-cut algorithm based on a Markov random field formulation. We demonstrate our approach on image pairs containing large inter-frame motion and partial occlusion. The approach is efficient and it successfully segments scenes with inter-frame disparities previously beyond the scope of layer-based motion segmentation methods.",
author = "Josh Wills and Sameer Agarwal and Serge Belongie",
year = "2003",
language = "English",
volume = "1",
pages = "I/37--I/44",
journal = "I E E E Conference on Computer Vision and Pattern Recognition. Proceedings",
issn = "1063-6919",
publisher = "Institute of Electrical and Electronics Engineers",
note = "2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition ; Conference date: 18-06-2003 Through 20-06-2003",

}

RIS

TY - GEN

T1 - What went where

AU - Wills, Josh

AU - Agarwal, Sameer

AU - Belongie, Serge

PY - 2003

Y1 - 2003

N2 - We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences by comparing vectors of filter outputs at interest points, from which we compute candidate scene relations via random sampling of minimal subsets of correspondences. We achieve a dense, piecewise smooth assignment of pixels to motion layers using a fast approximate graph-cut algorithm based on a Markov random field formulation. We demonstrate our approach on image pairs containing large inter-frame motion and partial occlusion. The approach is efficient and it successfully segments scenes with inter-frame disparities previously beyond the scope of layer-based motion segmentation methods.

AB - We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences by comparing vectors of filter outputs at interest points, from which we compute candidate scene relations via random sampling of minimal subsets of correspondences. We achieve a dense, piecewise smooth assignment of pixels to motion layers using a fast approximate graph-cut algorithm based on a Markov random field formulation. We demonstrate our approach on image pairs containing large inter-frame motion and partial occlusion. The approach is efficient and it successfully segments scenes with inter-frame disparities previously beyond the scope of layer-based motion segmentation methods.

UR - http://www.scopus.com/inward/record.url?scp=0042941579&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0042941579

VL - 1

SP - I/37-I/44

JO - I E E E Conference on Computer Vision and Pattern Recognition. Proceedings

JF - I E E E Conference on Computer Vision and Pattern Recognition. Proceedings

SN - 1063-6919

T2 - 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Y2 - 18 June 2003 through 20 June 2003

ER -

ID: 302056514