Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rollyn Labuguen"'
Autor:
Rollyn Labuguen, Jumpei Matsumoto, Salvador Blanco Negrete, Hiroshi Nishimaru, Hisao Nishijo, Masahiko Takada, Yasuhiro Go, Ken-ichi Inoue, Tomohiro Shibata
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 14 (2021)
Video-based markerless motion capture permits quantification of an animal's pose and motion, with a high spatiotemporal resolution in a naturalistic context, and is a powerful tool for analyzing the relationship between the animal's behaviors and its
Externí odkaz:
https://doaj.org/article/ed9bdc8497544843afceceb48bac71df
Autor:
Rollyn Labuguen, Jumpei Matsumoto, Salvador Blanco Negrete, Hiroshi Nishimaru, Hisao Nishijo, Masahiko Takada, Yasuhiro Go, Ken-ichi Inoue, Tomohiro Shibata
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 14 (2021)
Frontiers in Behavioral Neuroscience
Frontiers in Behavioral Neuroscience
Video-based markerless motion capture permits quantification of an animal's pose and motion, with a high spatiotemporal resolution in a naturalistic context, and is a powerful tool for analyzing the relationship between the animal's behaviors and its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c9ad18b47e8cf8e066d0bf18c936b55
https://pubmed.ncbi.nlm.nih.gov/33584214
https://pubmed.ncbi.nlm.nih.gov/33584214
Autor:
Wally Enrico M. Ingco, Rollyn Labuguen, Salvador Blanco Negrete, Tomohiro Shibata, Tonan Kogami
The evaluation of markerless pose estimation performed by OpenPose has been getting much attention from researchers of human movement studies. This work aims to evaluate and compare the output joint positions estimated by the OpenPose with a marker-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56add4f03d9f527aa8cb4f7c51dab273
Autor:
Jumpei Matsumoto, Tomohiro Shibata, Dean Karlo Bardeloza, Rollyn Labuguen, Ken-ichi Inoue, Salvador Blanco Negrete
Publikováno v:
2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR).
The analysis and understanding of primate behavior play a fundamental role in fields such as neuroscience, medicine, psychology, genetics, and more. This paper demonstrates an automatic detection of primate features by using an open-source deep learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a6c991a1f6fcde40cae90dee49544b5
https://doi.org/10.1109/iciev.2019.8858533
https://doi.org/10.1109/iciev.2019.8858533
Understanding animal behavior in its natural habitat is a challenging task. One of the primary step for analyzing animal behavior is feature detection. In this study, we propose the use of deep convolutional neural network (CNN) to locate monkey feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a05eb755ae631911e6bccc2d74db45af
https://doi.org/10.1101/377895
https://doi.org/10.1101/377895
Autor:
Rollyn Labuguen, Tomohiro Shibata, Jumpei Matsumoto, Ravi Prakash Joshi, Salvador Blanco Negrete
Publikováno v:
2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR).
In this paper, we propose a visualization framework for mouse anatomical cardinal planes and axes by extending an open-source platform called "3DTracker-FAB" and demonstrate its capability towards augmentation. Previously, the 3DTracker-FAB was only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01e4146c8db3e166f5d94dfbed4afaa5
https://doi.org/10.1109/iciev.2018.8641000
https://doi.org/10.1109/iciev.2018.8641000
Publikováno v:
ROBIO
As the robot technology is advancing, it is possible to use robots for basic day-to-day chores, so that the burden can be taken off from humans. To make the robots perform such tasks, it is necessary for them to handle different types of objects. Man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::748e74f915ab871a52f0a86b8e474837
https://doi.org/10.1109/robio.2017.8324415
https://doi.org/10.1109/robio.2017.8324415