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| Title | A Unified Approach to GPU-Accelerated Aerial Video Enhancement Techniques |
| Document Type | Thesis |
| Keywords | video enhancement, mosaic, super-resolution, mover-detection, image registration, dense correspondence, GPU acceleration |
| Abstract | Video from aerial surveillance can provide a rich source of data for analysts. From the time-critical perspective of wilderness search and rescue operations, information extracted from aerial videos can mean the difference between a successful search and an unsuccessful search. When using low-cost, payload-limited mini-UAVs, as opposed to more expensive platforms, several challenges arise, including jittery video, narrow fields of view, low resolution, and limited time on screen for key features. These challenges make it difficult for analysts to extract key information in a timely manner. Traditional approaches may address some of these issues, but no existing system effectively addresses all of them in a unified and efficient manner. Building upon a hierarchical dense image correspondence technique, we create a unifying framework for reducing jitter, enhancing resolution, and expanding the field of view while lengthening the time that features remain on screen. It also provides for easy extraction of moving objects in the scene. Our method incorporates locally adaptive warps which allows for robust image alignment even in the presence of parallax and without the aid of internal or external camera parameters. We accelerate the image registration process using commodity Graphics Processing Units (GPUs) to accomplish all of these tasks in near real-time with no external telemetry data. |
| Author | Cluff, Stephen Thayn 1975- |
| Department | Computer Science |
| Date Submitted | 2009-02-12 |
| Format | application:pdf |
| URL | http://contentdm.lib.byu.edu/ETD/image/etd2780.pdf |
| Language | english |
| Copyright Statement | I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, and specifically allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Brigham Young University and its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation, or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
| Display Title | A Unified Approach to GPU-Accelerated Aerial Video Enhancement Techniques |
| Defense Date | 2009-02-12 |
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