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
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;
Conference_Titel :
Aerospace and Electronics Conference (NAECON), Proceedings of the IEEE 2010 National
Conference_Location :
Fairborn, OH
Print_ISBN :
978-1-4244-6576-7
DOI :
10.1109/NAECON.2010.5712935
