User-assisted reflection detection and feature point tracking
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2013Access:
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Elgharib, M.A., Pitite, F., Kokaram, A., Saligrama, V., User-assisted reflection detection and feature point tracking, ACM International Conference Proceeding Series, ACM International Conference, 6-7 Nov, 2013, a13-Download Item:
Abstract:
Reflections in image sequences violate the single layer model used
by most current image processing techniques. As a result reflec-
tions cause many techniques to fail e.g. detection, tracking, motion
estimation, etc. Recent work was proposed by Ahmed et al. [5] to
detect reflections. Their technique is robust to pathological motion
and motion blur. This paper has three main contributions. The first
simplifies and fully automates the technique of Ahmed et al. User
feedback is common in post-production video manipulation tools.
Hence in the second contribution we propose an effective way of
integrating few user-assisted masks to improve detection rates. The
third contribution of this paper is an application for reflection detec-
tion. Here we explore better feature point tracking for the regions
detected as reflection. Tracks usually die quickly in such regions
due to temporal color inconsistencies. In this paper we show that
the lifespan of such tracks can be extended through layer separa-
tion. Results show reduction in missed detections and in computa-
tional load over Ahmed et al. Results also show the generation of
more reliable tracks despite strong layer mixing
Author's Homepage:
http://people.tcd.ie/akokaramhttp://people.tcd.ie/pitief
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Author: KOKARAM, ANIL; PITIE, FRANCOIS
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ACM International Conference Proceeding SeriesACM International Conference
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image sequencesDOI:
http://dx.doi.org/10.1145/2534008.2534011Metadata
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