Accession Number : AD1047175


Descriptive Note : Technical Report,01 Jan 2014,31 Aug 2017

Corporate Author : University of Missouri Columbia United States

Personal Author(s) : Palaniappan,Kannappan

Full Text :

Report Date : 15 Feb 2018

Pagination or Media Count : 99

Abstract : The goal of this effort was to take the computation closer to the sensor when it made sense to do so. Wide Area Motion Imagery (WAMI) data was used given the high bandwidth requirements associated with WAMI. Our focus was on; feature detection and matching techniques along the video sequence; developing efficient structure-from-motion and bundle adjustment techniques for high resolution aerial imagery; designing 3D reconstruction algorithm to run on metropolitan-scale data; analytical image stabilization and geo-registration; and developing moving object detection and tracking algorithms. The creation of 3D models from airborne wide area motion imagery (WAMI) will facilitate a number of capabilities including improved geo-registration, increased reliability of target tracking through occlusions and shadows, onboard processing for video object analysis, better modeling of object motion dynamics, and enable high compression of large scale scene imagery for efficient real time downlinks.

Descriptors :   target detection , TRACKING , image reconstruction , computer vision , cameras , feature extraction , optimization , IMAGE COMPRESSION , ALGORITHMS

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE