DocumentCode
2511991
Title
Multi-resolution unmanned aerial vehicle video stabilization
Author
Hong, Steven ; Hong, Tracey ; Yang, Wu
Author_Institution
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
fYear
2010
fDate
14-16 July 2010
Firstpage
126
Lastpage
131
Abstract
This paper presents an efficient multiresolution video stabilization algorithm based on the Scale Invariant Feature Transform (SIFT) algorithm. The algorithm utilizes the Haar wavelet transformation of registered images, reducing the memory consumption while maintaining accuracy of the feature points, which we will quantitatively contrast in the paper.
Keywords
Haar transforms; aircraft; feature extraction; image registration; image resolution; mobile robots; remotely operated vehicles; video signal processing; wavelet transforms; Haar wavelet transformation; SIFT algorithm; image registration; memory consumption; multiresolution unmanned aerial vehicle video stabilization; scale invariant feature transform; Accuracy; Cameras; Feature extraction; Image resolution; Pixel; Real time systems; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference (NAECON), Proceedings of the IEEE 2010 National
Conference_Location
Fairborn, OH
ISSN
0547-3578
Print_ISBN
978-1-4244-6576-7
Type
conf
DOI
10.1109/NAECON.2010.5712935
Filename
5712935
Link To Document