DocumentCode :
118801
Title :
KWIVER: An open source cross-platform video exploitation framework
Author :
Fieldhouse, Keith ; Leotta, Matthew J. ; Basharat, Arslan ; Blue, Russell ; Stoup, David ; Atkins, Charles ; Sherrill, Linus ; Boeckel, Benjamin ; Tunison, Paul ; Becker, Jacob ; Dawkins, Matthew ; Woehlke, Matthew ; Collins, Roderic ; Turek, Matt ; Hoogs
Author_Institution :
Kitware, Inc., Clifton Park, NY, USA
fYear :
2014
fDate :
14-16 Oct. 2014
Firstpage :
1
Lastpage :
4
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.
Keywords :
computer vision; learning (artificial intelligence); video signal processing; GitHub; KWIVER; Kitware; computer vision; government open source repository; machine learning system; multi-tiered open-source approach; open source cross-platform video exploitation framework; video analytics community; Communities; Computer vision; Government; Learning systems; Libraries; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop (AIPR), 2014 IEEE
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/AIPR.2014.7041910
Filename :
7041910
Link To Document :
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