@conference {12619,
	title = {Moving Object Verification from Airborne Video},
	booktitle = {Computer Vision Systems, 2006 ICVS {\textquoteright}06. IEEE International Conference on},
	year = {2006},
	month = {2006/01//},
	pages = {29 - 29},
	abstract = {This paper presents an end-to-end verification system for moving objects in airborne video. Lacking prior training data, the object information is collected on the fly from a short real-time learning sequence. Using a sample selection module, the system selects samples from the learning sequence and stores them in an exemplar database. To handle appearance change due to potentially large aspect angle variations, a homography-based view synthesis method is used to generate a novel view of each image in the exemplar database at the same pose as the query object in each frame of a query sequence. A spatial match score is obtained using a Distance Transform to compare the novel view and query object. After looping over all query frames, the set of match scores is passed to a temporal analysis module to examine the behavior of the query object, and calculate a final likelihood. Very good verification performance is achieved over thousands of trials for both color and infrared video sequences using the proposed system.},
	doi = {10.1109/ICVS.2006.42},
	author = {Yue,Zhanfeng and Chellapa, Rama and Guarino, D.}
}
