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GPU Implementation of Video Analytic...

Teters, Evan.

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GPU Implementation of Video Analytics Algorithms for Aerial Imaging.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	GPU Implementation of Video Analytics Algorithms for Aerial Imaging./
作者:	Teters, Evan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	84 p.
附註:	Source: Masters Abstracts International, Volume: 85-02.
Contained By:	Masters Abstracts International85-02.
標題:	Computer science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30487281
ISBN:	9798380151115

GPU Implementation of Video Analytics Algorithms for Aerial Imaging.
Teters, Evan.

GPU Implementation of Video Analytics Algorithms for Aerial Imaging. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 84 p.

Source: Masters Abstracts International, Volume: 85-02.

Thesis (M.S.)--University of Missouri - Columbia, 2023.

This item must not be sold to any third party vendors.

This work examines several algorithms that together make up parts of an image processing pipeline called Video Mosaicing and Summarization (VMZ). This pipeline takes as input geospatial or biomedical videos and produces large stitched-together frames (mosaics) of the video's subject.The content of these videos presents numerous challenges, such as poor lighting and a rapidly changing scene. The algorithms of VMZ were chosen carefully to address these challenges.With the output of VMZ, numerous tasks can be done. Stabilized imagery allows for easier object tracking, and the mosaics allow a quick understanding of the scene. These use-cases with aerial imagery are even more valuable when considered from the edge, where they can be applied as a drone is collecting the data. When executing video analytics algorithms, one of the most important metrics for real-life use is performance. All the accuracy in the world does not guarantee usefulness if the algorithms cannot provide that accuracy in a timely and actionable manner.{A0}Thus the goal of this work is to explore means and tools to implement video analytics algorithms, particularly the ones that make up the VMZ pipeline, on GPU devices-making them faster and more available for real-time use. This work presents four algorithms that have been converted to make use of the GPU in the GStreamer environment on NVIDIA GPUs. With GStreamer these algorithms are easily modular and lend themselves well to experimentation and real-life use even in pipelines beyond VMZ.

ISBN: 9798380151115Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Aerial imagery

GPU Implementation of Video Analytics Algorithms for Aerial Imaging.
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