Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Theekapun Charoenpong"'
Publikováno v:
IEEE Access, Vol 11, Pp 33080-33099 (2023)
To facilitate content-based video analysis, automatic scene change detection (SCD) with large-scale motion activity is an essential fundamental step for locating a transition from one video scene to another. With the exponential increase in digital m
Externí odkaz:
https://doaj.org/article/d45701691bb6477aba57b687a95d88da
Autor:
Amber Charoen, Averill Guo, Panisara Fangsaard, Supakorn Taweechainaruemitr, Nuwee Wiwatwattana, Theekapun Charoenpong, Harlan G. Rich
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-6 (2022)
Measurement(s) organ Technology Type(s) Videocapsule Endoscopy Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location State of Rhode Island
Externí odkaz:
https://doaj.org/article/226b5092a7514fcfb9d77300b3446b04
Publikováno v:
Walailak Journal of Science and Technology, Vol 12, Iss 1 (2014)
The performance of current algorithms used in occluded face detection for surveillance systems is limited when detecting a face covered with an obstacle, or a non-frontal view of the face. Therefore, a method able to capture a face from any viewpoint
Externí odkaz:
https://doaj.org/article/4fa76acdeb7f4308977fdcebe8cfafd5
Publikováno v:
International Workshop on Advanced Imaging Technology (IWAIT) 2023.
Publikováno v:
2023 Third International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP).
Autor:
Areeya Seebutda, Sirilak Sakuncharoenchaiya, Kawee Numpacharoen, Nuwee Wiwatwattana, Amber Charoen, Theekapun Charoenpong
Publikováno v:
2023 Third International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP).
Publikováno v:
2023 Third International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP).
Publikováno v:
2023 Third International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP).
Publikováno v:
Wireless Personal Communications. 123:103-121
Surgeons must intraoperatively view cross-section images under sterilization conditions. Keyboard and computer mouse are sources of contamination. A computer vision algorithm and a hand movement pattern analysis technique have been applied to solve t
Autor:
Ratchaneekorn Duangchai, Chanakarn Toonmana, Kawee Numpacharoen, Nuwee Wiwatwattana, Amber Charoen, Theekapun Charoenpong
Publikováno v:
2022 International Conference on Decision Aid Sciences and Applications (DASA).