Reflection detection in image sequences

Mohamed Abdelaziz Ahmed, Francois Pitie, Anil Kokaram

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Reflections in image sequences consist of several layers superimposed over each other. This phenomenon causes many image processing techniques to fail as they assume the presence of only one layer at each examined site e.g. motion estimation and object recognition. This work presents an automated technique for detecting reflections in image sequences by analyzing motion trajectories of feature points. It models reflection as regions containing two different layers moving over each other. We present a strong detector based on combining a set of weak detectors. We use novel priors, generate sparse and dense detection maps and our results show high detection rate with rejection to pathological motion and occlusion.

Original languageEnglish
Title of host publication2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011
PublisherIEEE Computer Society
Pages705-712
Number of pages8
ISBN (Print)9781457703942
DOIs
Publication statusPublished - 1 Jan 2011

Publication series

NameProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISSN (Print)1063-6919

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ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

Cite this

Ahmed, M. A., Pitie, F., & Kokaram, A. (2011). Reflection detection in image sequences. In 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011 (pp. 705-712). [5995670] (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition). IEEE Computer Society. https://doi.org/10.1109/CVPR.2011.5995670