Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Tomonori Tabusa"'
Publikováno v:
Progress in Earth and Planetary Science, Vol 4, Iss 1, Pp 1-9 (2017)
Abstract This paper describes a remotely operated investigation system developed by combining a modern leisure-use fish finder and an unmanned watercraft to survey water bottom topography and other data related to bottom materials. Current leisure-us
Externí odkaz:
https://doaj.org/article/8c3096737be64da6b3802a1a81828ee4
Publikováno v:
The Journal of Japan Institute of Navigation. 144:7-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::379eaf04012636e475f13f480c19b886
https://doi.org/10.9749/jin.144.7
https://doi.org/10.9749/jin.144.7
Autor:
Tomonori Tabusa, Koichi Kuzume
Publikováno v:
2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR).
Local regularities of a signal contain important information such as edges in an image and QRS complexes in an Electrocardiogram (ECG). In order to detect such local regularities in the signal, wavelet transform has been focused on as a powerful tool
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45f7257ae856e02db9f053f4857a0c9b
https://doi.org/10.1109/icaipr.2016.7585219
https://doi.org/10.1109/icaipr.2016.7585219
Publikováno v:
MATEC Web of Conferences; 4/25/2016, Vol. 55, p1-6, 6p
Publikováno v:
The Journal of the Institute of Image Information and Television Engineers. 52:1856-1859
ビデオカメラに向かって歩く人物の衣服を画像認識する方法を提案する.直立正面向きの姿勢に近い人物像をビデオ画像から抽出し, 弛緩法を中心とする画像処理によって, 上下衣服の種
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e17026038034ff0685088332b7057a70
https://doi.org/10.3169/itej.52.1856
https://doi.org/10.3169/itej.52.1856
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 117:1887-1892
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7209bf163082db9ccecd9bc10d5ee796
https://doi.org/10.1541/ieejeiss1987.117.12_1887
https://doi.org/10.1541/ieejeiss1987.117.12_1887
Publikováno v:
MATEC Web of Conferences, Vol 55, p 03002 (2016)
Nowadays, education on energy saving at schools attracts attention to reduce energy consumption. In this paper we proposed a novel system to promote energy conservation activity at schools using a sensor network. The system consisted of a wall-type c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccb570920990eb0fbc12999d6d5448f0
https://doi.org/10.1051/matecconf/20165503002
https://doi.org/10.1051/matecconf/20165503002
Autor:
Tomonori Tabusa, Ai Kanayama
Publikováno v:
2010 International Symposium on Intelligent Signal Processing and Communication Systems.
Background subtraction is usually used as a technique to find moving objects. In this study, by the combination of background subtraction and motion detection techniques, we constructed a system that could be used to automatically make a facial image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c9bfef9e8c06bdbd931073217be2760
https://doi.org/10.1109/ispacs.2010.5704635
https://doi.org/10.1109/ispacs.2010.5704635
Publikováno v:
ICIP
A method is described for obtaining 3-D object models, particularly human models, based on multiple cameras and a computer. Existing optical 3-D modeling systems employ calibrated cameras, which inevitably restricts the cameras at fixed positions, gi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c64ba0e838b8289717d590449c0e2f3
https://doi.org/10.1109/icip.2004.1421607
https://doi.org/10.1109/icip.2004.1421607
Publikováno v:
Proceedings of the 41st SICE Annual Conference. SICE 2002..
Three-dimensional modeling of human motions is required in various fields such as virtual reality, video game producing, sport analysis, etc. This paper describes a technique for recovering three-dimensional wide range human motions by uncalibrated m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::721b10fda00862836e2186dc0c2b548d
https://doi.org/10.1109/sice.2002.1196617
https://doi.org/10.1109/sice.2002.1196617