@conference {12609,
	title = {Stabilization and Mosaicing of Airborne Videos},
	booktitle = {Image Processing, 2006 IEEE International Conference on},
	year = {2006},
	month = {2006/10//},
	pages = {345 - 348},
	abstract = {We present an algorithm for stabilizing low-quality and low-resolution video sequences obtained from UAVs and MAVs flying over a predominantly planar terrain. The problem is important for the processing of videos captured from airborne platforms where most of the image region gives little information about the image-motion. The algorithm consists of approximately aligning the images using phase correlation, then refining the transformation parameters using available optical flow measurements and finally performing a minimization of the image difference by carefully selecting the image regions to make the iterations converge. In the second part of the paper, we describe an algorithm for camera ego-motion estimation by incorporating available metadata along with the video sequence. The availability of metadata such as IMU measurements provides a good initial solution for the camera orientation and helps the iterations converge faster by reducing the search space},
	keywords = {airborne, analysis;image, cameras;, convergence;low-resolution, ego-motion, estimation;iterations, flow, measurement;video, mosaicing;camera, MOTION, resolution;image, segmentation;image, sequence;optical, sequences;video, stabilization;image, video, Videos},
	doi = {10.1109/ICIP.2006.313164},
	author = {Ramachandran, M. and Chellapa, Rama}
}
