Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Tsi-Ui Ik"'
Publikováno v:
IEEE Access, Vol 11, Pp 90891-90900 (2023)
The analysis of badminton player actions from videos plays a crucial role in improving athletes’ performance and generating statistical insights. The complexity and speed of badminton movements pose unique challenges compared to everyday activities
Externí odkaz:
https://doaj.org/article/1084e703ce1741f3a5b8d8e9dacf50a0
Publikováno v:
IEEE Access, Vol 11, Pp 29566-29575 (2023)
The traffic infrastructure of a city requires evaluation and improvement through a large amount of data analysis. The construction and laborious work of traditional methods make computer vision flourish in traffic analysis. Among different computer v
Externí odkaz:
https://doaj.org/article/b29f9ff1d23b4047bf7f8790cfdf4364
Publikováno v:
IEEE Access, Vol 11, Pp 23019-23031 (2023)
The research on complex human body motion including sports and workout activity recognition is a major challenge and long-lasting problem for the computer vision community. Recent development in deep learning algorithms to track people’s workout ac
Externí odkaz:
https://doaj.org/article/8e702dc8dced4b4faedf699fe2c3a432
Autor:
Tzu-Wei Yu, Muhammad Atif Sarwar, Yousef-Awwad Daraghmi, Sheng-Hsien Cheng, Tsi-Ui Ik, Yih-Lang Li
Publikováno v:
IEEE Access, Vol 10, Pp 57748-57758 (2022)
Foreground object segmentation that captures the spatial and temporal information of moving objects in video is the most fundamental task for activity understanding in many intelligent applications, such as smart stores. Recently, several methods are
Externí odkaz:
https://doaj.org/article/4992ebae1ec349fc9863f1c3b55c3d28
Publikováno v:
IEEE Sensors Journal. 22:3455-3463
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::809645cd06ce446189350bdbdff6b748
https://doi.org/10.1109/jsen.2022.3140356
https://doi.org/10.1109/jsen.2022.3140356
Publikováno v:
2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef129abb6f146924e374b70a33d48ed9
https://doi.org/10.23919/apnoms56106.2022.9919965
https://doi.org/10.23919/apnoms56106.2022.9919965
Publikováno v:
2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64cad05070f3275d26e1f2b415e84a16
https://doi.org/10.23919/apnoms56106.2022.9919964
https://doi.org/10.23919/apnoms56106.2022.9919964
Publikováno v:
2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::403884ece532b7afd35e5e6bae426b66
https://doi.org/10.23919/apnoms56106.2022.9919982
https://doi.org/10.23919/apnoms56106.2022.9919982
Publikováno v:
APNOMS
The application of voice services has become more common in daily life, including traffic navigation, voice assistants, audio books and so on. However, considering the cost and variability, it is difficult to fully utilize real voice recordings in di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbefd5e157c897b83634e55722843daf
https://doi.org/10.23919/apnoms52696.2021.9562651
https://doi.org/10.23919/apnoms52696.2021.9562651
Publikováno v:
2020 International Conference on Pervasive Artificial Intelligence (ICPAI).
TrackNet, a deep learning network, was proposed to track high-speed and tiny objects such as tennis balls and shuttlecocks from videos. To conquer low image quality issues such as blur, afterimage, and short-term occlusion, some number of consecutive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9ad0ca9cbefaf3b71d58089ae71f5e5
https://doi.org/10.1109/icpai51961.2020.00023
https://doi.org/10.1109/icpai51961.2020.00023