Accession Number : ADA313877
Title : Performance Characterization of Image Stabilization Algorithms.
Descriptive Note : Technical rept.,
Corporate Author : MARYLAND UNIV COLLEGE PARK CENTER FOR AUTOMATION RESEARCH
Personal Author(s) : Balakirsky, Stephen B. ; Chellappa, Rama
PDF Url : ADA313877
Report Date : APR 1996
Pagination or Media Count : 32
Abstract : This paper compares three image stabilization algorithms when used as preprocessors for a target tracking application. These algorithms vary in computational complexity, accuracy, and ability. Algorithm 1 is capable of only pixel-level realignment of imagery, while Algorithms 2 and 3 are capable of full subpixel stabilization with respect to translation, rotation, and scale. The algorithms are evaluated on their performance in the stabilization of one synthetic forward looking infrared (FLIR) data set and two real FLIR imagery data sets. The evaluation tools incorporated include mean square error of the output data set and the overall performance of an automatic target acquisition system (developed at the Army Research Laboratory) that uses the algorithms as a front end preprocessor. We find that for this tracking application, extremely accurate subpixel stabilization is a requirement for proper operation. We also find that in this application, Algorithm 3 performs significantly better than the other two algorithms.
Descriptors : *IMAGE PROCESSING, *FORWARD LOOKING INFRARED SYSTEMS, *INFRARED IMAGES, DATA BASES, ALGORITHMS, ROBOTICS, REAL TIME, TARGET ACQUISITION, RESOLUTION, ACCURACY, INPUT OUTPUT PROCESSING, OPTICAL DATA, AUTONOMOUS NAVIGATION, COMPUTER VISION, TARGET DETECTION, PIXELS, INFRARED TRACKING, IMAGE MOTION COMPENSATION, FRONT END PROCESSORS.
Subject Categories : Cybernetics
Infrared Detection and Detectors
Distribution Statement : APPROVED FOR PUBLIC RELEASE