Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Keith Fieldhouse"'
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91936a1ce1894698b161872d4437d1f9
https://doi.org/10.1109/cvprw56347.2022.00322
https://doi.org/10.1109/cvprw56347.2022.00322
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a71d4fc6decc9a45329e440369b70b5f
https://doi.org/10.1109/wacvw54805.2022.00020
https://doi.org/10.1109/wacvw54805.2022.00020
Publikováno v:
WACV
We introduce a self-contained, mobile surveillance system designed to remotely detect and track people in real time, at long ranges, and over a wide field of view in cluttered urban and natural settings. The system is integrated with an unmanned grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff958c356a682b5b12d01c5fecb85f23
https://doi.org/10.1109/wacv.2019.00207
https://doi.org/10.1109/wacv.2019.00207
Autor:
Sanghui Han, Alex Fafard, John Kerekes, Michael Gartley, Emmett Ientilucci, Andreas Savakis, Charles Law, Jason Parhan, Matt Turek, Keith Fieldhouse, Todd Rovito
Publikováno v:
SPIE Proceedings.
Training deep convolutional networks for satellite or aerial image analysis often requires a large amount of training data. For a more robust algorithm, training data need to have variations not only in the background and target, but also radiometric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b66f4e9f598dce69ba170dd6c5830261
https://doi.org/10.1117/12.2261702
https://doi.org/10.1117/12.2261702
Autor:
David C. Zhang, Kresimir Williams, Anthony Hoogs, N. Lauffenburger, Gaoang Wang, Linus Sherrill, Matthew Dawkins, Benjamin L. Richards, Keith Fieldhouse, Lakshman Prasad
Publikováno v:
WACV
Global fisheries and the future of sustainable seafood are predicated on healthy populations of various species of fish and shellfish. Recent developments in the collection of large-volume optical data by autonomous underwater vehicles (AUVs), statio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::930d6e03f19dfb49f3c00a7998df5814
https://doi.org/10.1109/wacv.2017.105
https://doi.org/10.1109/wacv.2017.105
Autor:
Amit Srivastava, A. G. Amitha Perera, Linus Sherrill, Dong Liu, Kishore K. Reddy, Mita Desai, B.S. Manjunath, D. Rowley, Chia-Chih Chen, Anoop Kumar, Xiaoyang Wang, Bi Song, J. Liu, J. Luck, Chuck Atkins, Tsuhan Chen, D. Hanson, Roderic Collins, T. Rude, Amit K. Roy-Chowdhury, A. Jain, Daniel F. Keefe, Anthony Hoogs, Qiang Ji, Shih-Fu Chang, J. Kopaz, Rusty Blue, Arslan Basharat, Naresh P. Cuntoor, Keith Fieldhouse, Shiv Chandrasekaran, Eran Swears, C. Greco, Jelena Tesic, K. Chang, K. Sullivan, Zhaohui H. Sun, Larry S. Davis, Matthew Woehlke, B. Drew, Saurabh Khanwalkar, B. Boeckel, Mubarak Shah, Y. Yacoob, Jake K. Aggarwal
Publikováno v:
AVSS
We describe a system for content-based retrieval from large surveillance video archives, using behavior, action and appearance of objects. Objects are detected, tracked, and classified into broad categories. Their behavior and appearance are characte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52edc522723f7c3ad03e26edc580ec77
https://escholarship.org/uc/item/7hb7z44q
https://escholarship.org/uc/item/7hb7z44q
Autor:
Chuck Atkins, David Stoup, Anthony Hoogs, Matthew William Turek, Yiliang Xu, Arslan Basharat, Keith Fieldhouse, Paul Tunison
Publikováno v:
WACV
We present a real-time, full-frame, multi-target Wide Area Motion Imagery (WAMI) tracking system that utilizes distributed processing to handle high data rates while maintaining high track quality. The proposed architecture processes the WAMI data as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e06bc527bfbb89d5db5260c0c24672d0
https://doi.org/10.1109/wacv.2014.6836016
https://doi.org/10.1109/wacv.2014.6836016