Global ETD Search

1	Feature-based Mini Unmanned Air Vehicle Video Euclidean Stabilization with Local Mosaics Gerhardt, Damon Dyck 01 February 2007 (has links) (PDF) Video acquired using a camera mounted on a mini Unmanned Air Vehicle (mUAV) may be very helpful in Wilderness Search and Rescue and many other applications but is commonly plagued with limited spatial and temporal field of views, distractive jittery motions, disorienting rotations, and noisy and distorted images. These problems collectively make it very difficult for human viewers to identify objects of interest as well as infer correct orientations throughout the video. In order to expand the temporal and spatial field of view, stabilize, and better orient users of noisy and distorted mUAV video, a method is proposed of estimating in software and in real time the relative motions of each frame to the next by tracking a small subset of features within each frame to the next. Using these relative motions, a local Euclidean mosaic of the video can be created and a curve can be fit to the video's accumulative motion path to stabilize the presentations of both the video and the local Euclidean mosaic. The increase in users' abilities to perform common search-and-rescue tasks of identifying objects of interest throughout the stabilized and locally mosaiced mUAV video is then evaluated. Finally, a discussion of remaining limitations is presented along with some possibilities for future work. feature-based mini unmanned air vehicle mUAV UAV mUAV vision UAV vision video stabilization video mosaic Euclidean mosaic Euclidean stabilization local mosaic aerial video E-mosaic stable-E stable-E-mosaic homography RANSAC filter short circuit jitter Computer Sciences
2	A See-ability Metric to Improve Mini Unmanned Aerial Vehicle Operator Awareness Using Video Georegistered to Terrain Models Engh, Cameron Howard 20 November 2008 (has links) (PDF) Search and rescue operations conducted in wilderness environments can be greatly aided by the use of video filmed from mini-UAVs. While lightweight, inexpensive and easily transportable, these small aircraft suffer from wind buffeting and may produce video that is difficult to search. To aid in the video search process, we have created a system to project video frames into a 3D representation of the search region. This projection allows us to tie each frame of video to a real-world location, enabling a myriad of novel views, mosaics and metrics that can be used to guide the search including a new metric dubbed “see-ability.” The “see-ability” metric is the primary contribution of this research as it indicates what portion of the search area has been viewed and provides an estimate of the quality of that viewing. The research includes a validation of the “see-ability” metric as it correlates to objective performance in the search task by real people. BYU Brigham Young University computer vision seeability see-ability MiniUAV MUAV georegister georegistration terrain unmanned air vehicle aerial terrain model SAR search rescue search and rescue projective texture video telemetry video indexing visibility Computer Sciences

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Feature-based Mini Unmanned Air Vehicle Video Euclidean Stabilization with Local Mosaics

A See-ability Metric to Improve Mini Unmanned Aerial Vehicle Operator Awareness Using Video Georegistered to Terrain Models