DocumentCode
1130463
Title
Automatic feature-based global motion estimation in video sequences
Author
Huang, Jen-Chi ; Hsieh, Wen-Shyong
Author_Institution
Dept. of Inf. Manage., Nat. Penghu Inst. of Technol., Kaohsiung, Taiwan
Volume
50
Issue
3
fYear
2004
Firstpage
911
Lastpage
915
Abstract
In this paper, automatic and efficient global motion estimation for video sequences is proposed. In this estimation, we find and pick up pairs of feature points in the edge lines within the successive frames using the match algorithm. We then choose the best set of three pair points to measure the parameters of the Affine Model which describes the global motion. The result shows that we can obtain the Affine parameters of global motion efficiently in video sequences.
Keywords
image matching; image sequences; motion estimation; video signal processing; Affine Model; automatic feature-based global motion estimation; edge lines; match algorithm; video sequences; Cameras; Computer science; Image edge detection; Layout; MPEG 4 Standard; Motion detection; Motion estimation; Motion measurement; Object segmentation; Video sequences;
fLanguage
English
Journal_Title
Consumer Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0098-3063
Type
jour
DOI
10.1109/TCE.2004.1341699
Filename
1341699
Link To Document