DocumentCode
2876550
Title
Robust digital image stabilization based on spatial-location-invariant criterion
Author
Peng, Xiaojiang ; Chen, Junzhou ; Zhang, Jiashu
Author_Institution
Coll. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
fYear
2011
fDate
7-10 Nov. 2011
Firstpage
2250
Lastpage
2254
Abstract
In this paper, a robust digital image stabilization (DIS) algorithm based on a spatial-location-invariant criterion is proposed to estimate the local motion vectors in jitter videos. In the algorithm, the feature points are detected by sub-region Harris detector and matched by cross diamond hexagon search algorithm, and then in order to obtain accurate local motion vectors, the presented criterion called spatial-location-invariant is used to remove those points that error-matching or in moving objects. With these vectors, the global motion vector is computed by least-squares algorithm in similarity motion model. Finally the real motion model is applied to motion compensation. The experimental results show that the proposed DIS technique can deal with arbitrary rotation, translation, and is robust to foreground moving objects.
Keywords
least squares approximations; motion compensation; search problems; DIS; cross diamond hexagon search algorithm; jitter videos; least-squares algorithm; local motion vectors; motion compensation; robust digital image stabilization algorithm; similarity motion model; spatial-location-invariant criterion; sub-region Harris detector; Detectors; Digital images; Feature extraction; Motion estimation; Robustness; Vectors; Videos;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Melbourne, VIC
ISSN
1553-572X
Print_ISBN
978-1-61284-969-0
Type
conf
DOI
10.1109/IECON.2011.6119659
Filename
6119659
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