Sciweavers

Share
ICPR
2008
IEEE

Regular texture removal for video stabilization

9 years 9 months ago
Regular texture removal for video stabilization
In this paper we propose a novel fast fuzzy classifier able to find regular and low distorted near regular texture taking into account the constraints of video stabilization applications. Digital video stabilization allows to acquire video sequences without disturbing jerkiness, removing unwanted camera movements. In presence of regular or near regular texture, video stabilization approaches typically fail. These kind of patterns, due to their periodicity, create multiple matching that degrade motion estimation performances. The proposed classifier has been used as a filtering module in a block based video stabilization approach. Experiments on real sequences with (and without) regular texture confirm the effectiveness of the proposed approach.
Arcangelo Bruna, Giovanni Puglisi, Sebastiano Batt
Added 05 Nov 2009
Updated 07 Apr 2013
Type Conference
Year 2008
Where ICPR
Authors Arcangelo Bruna, Giovanni Puglisi, Sebastiano Battiato
Comments (0)
books