@article {12680,
	title = {Video-Based Automatic Target Recognition},
	year = {2004},
	month = {2004/12//},
	institution = {MARYLAND UNIV COLLEGE PARK CENTER FOR AUTOMATION RESEARCH},
	abstract = {We present an approach for vehicle classification in IR video sequences by integrating detection, tracking and recognition. The method has two steps. First, the moving target is automatically detected using a detection algorithm. Next, we perform simultaneous tracking and recognition using an appearance-model based particle filter. The tracking result is evaluated at each frame. Low confidence in tracking performance initiates a new cycle of detection, tracking and classification. We demonstrate the robustness of the proposed method using outdoor IR video sequences.},
	keywords = {*SEQUENCES(MATHEMATICS), *TARGET RECOGNITION, *VEHICLES, *VIDEO RECORDING, algorithms, AUTOMATIC TRACKING., COMPONENT REPORTS, MOVING TARGETS, SURFACE TRANSPORTATION AND EQUIPMENT, SYMPOSIA, TARGET CLASSIFICATION, TARGET DIRECTION, RANGE AND POSITION FINDING, tracking, VIDEO SIGNALS},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA431617},
	author = {Zhou,S. K and Chellapa, Rama and Mei,Xue and Wu,Hao and Qinfen Zheng}
}
@article {11984,
	title = {Determining the Translation of a Rigidly Moving Surface, without Correspondence,},
	year = {1986},
	month = {1986/01//},
	abstract = {A method is presented for the recovery of the three-dimensional translation of a rigidly moving textured object from its images. The novelty of the method consists of the fact that four cameras are used in order to avoid the solution of the correspondence problem. The method seems to be immune to small noise percentages and to have good behavior when the noise increases. Keywords: Computer vision.},
	keywords = {*IMAGE PROCESSING, *OPTICAL DETECTION, *Translation(Image processing), CAMERAS, Computer vision, COMPUTERS, IMMUNITY., MOTION, MOVING TARGETS, NOISE, OPTICAL DETECTION AND DETECTORS, SURFACES, THREE DIMENSIONAL, VISION},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA179409},
	author = {Aloimonos, J. and Basu, Anup}
}
