Accession Number : ADA317397
Title : Site Model Based Image Registration and Change Detection.
Descriptive Note : Technical rept. Sep 93-Sep 94,
Corporate Author : MARYLAND UNIV COLLEGE PARK COMPUTER VISION LAB
Personal Author(s) : Chellappa, R. ; Burlina, P. ; Rosenfeld, A. ; Lin, C. L. ; Zhang, X.
PDF Url : ADA317397
Report Date : NOV 1996
Pagination or Media Count : 49
Abstract : The University of Maryland is one of the BAA contractors performing research on aerial image understanding for the RADIUS project. We are contributing model-based and context-based change detection (CD) and monitoring algorithms. Our principal points of focus during the reporting period have been: (a) monitoring movable objects (detection and counting of vehicles), (b) monitoring construction activities for modeled objects, and (c) developing automated image positioning schemes. We exploit geometric and context information derived from site models to accomplish these monitoring tasks. We also have placed special emphasis on the integration of our modules within the RADIUS Common Development Environment (RCDE) platform.
Descriptors : *IMAGE PROCESSING, *COMPUTER VISION, *CHANGE DETECTION, ALGORITHMS, OPTICAL PROCESSING, IMAGE REGISTRATION, AERIAL PHOTOGRAPHY.
Subject Categories : Bionics
Distribution Statement : APPROVED FOR PUBLIC RELEASE