KWIVER: An open source cross-platform video exploitation framework

Keith Fieldhouse, Matthew J. Leotta, Arslan Basharat, Russell Blue, David Stoup, Chuck Atkins, Linus Sherrill, B. Boeckel, Paul Tunison, Jacob Becker, Matthew Dawkins, Matthew Woehlke, Roderic Collins, M. Turek, A. Hoogs
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引用次数: 3

Abstract

We introduce KWIVER, a cross-platform video exploitation framework that Kitware has begun releasing as open source. Kitware is utilizing a multi-tiered open-source approach to reach as wide an audience as possible. Kitware's government-funded efforts to develop critical defense technology will be released back to the defense community via Forge.mil, a government open source repository. Infrastructure, algorithms, and systems without release restrictions will be provided to the larger video analytics community via kwiver.org and GitHub. Our goal is to provide a video analytics technology baseline for repeatable and reproducible experiments and to serve as a framework for the development of computer vision and machine learning systems. We hope that KWIVER will provide a focal point for collaboration and contributions from groups across the community.
KWIVER:一个开源的跨平台视频开发框架
我们介绍KWIVER,一个跨平台的视频开发框架,Kitware已经开始作为开源发布。Kitware利用多层次的开源方法来接触尽可能广泛的受众。Kitware在政府资助下开发的关键国防技术将通过政府开源存储库Forge.mil发布给国防社区。没有发布限制的基础设施、算法和系统将通过kwiver.org和GitHub提供给更大的视频分析社区。我们的目标是为可重复和可再现的实验提供一个视频分析技术基线,并作为计算机视觉和机器学习系统开发的框架。我们希望KWIVER将为整个社区的团体提供一个协作和贡献的焦点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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