Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ke-ming Mao"'
Publikováno v:
IEEE Access, Vol 8, Pp 103443-103453 (2020)
Falls have caught great harm to the elderly living alone at home. This paper presents a novel visual-based fall detection approach by Dual-Channel Feature Integration. The proposed approach divides the fall event into two parts: falling-state and fal
Externí odkaz:
https://doaj.org/article/e71921a2a89b449880a46ed628095ce0
Publikováno v:
Journal of Computer Science and Technology. 37:231-251
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ff48f2fbe34bf941b0135fd8354bd74
https://doi.org/10.1007/s11390-021-1754-5
https://doi.org/10.1007/s11390-021-1754-5
Publikováno v:
IEEE Access, Vol 8, Pp 103443-103453 (2020)
Falls have caught great harm to the elderly living alone at home. This paper presents a novel visual-based fall detection approach by Dual-Channel Feature Integration. The proposed approach divides the fall event into two parts: falling-state and fal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ad364d176210a70c9828127f9066e77
https://ieeexplore.ieee.org/document/9106316/
https://ieeexplore.ieee.org/document/9106316/
Publikováno v:
IEEE Access, Vol 7, Pp 180620-180629 (2019)
Interactions among different parties within social networks are greatly dependent on trust. Therefore, trust analysis is significant for solving social network related problems such as privacy protect, and rumor tracking and containment. This paper m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4fdcacc85ac2a9683468877bc8d30b0
https://ieeexplore.ieee.org/document/8933512/
https://ieeexplore.ieee.org/document/8933512/
Publikováno v:
Journal of Highway and Transportation Research and Development (English Edition). 7:57-64
Based on this reality that surrounding rocks of deep undergrounds engineering repeatedly bear geological force and excavation disturbance, the integrity and mechanical properties were weake...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a81920d6b73664b3df03525e3d9e987c
https://doi.org/10.1061/jhtrcq.0000348
https://doi.org/10.1061/jhtrcq.0000348
Publikováno v:
Applied Mechanics and Materials. :482-486
This paper proposes a new skin image detection method. First, skin pixel histogram in RGB color space is analyzed. Then Gaussian Mixture Model is used to constructed distribution of skin pixels. Second, a Gaussian parameter combination and selection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59ea72ba2420e8c093b1bc43512963e1
https://doi.org/10.4028/www.scientific.net/amm.128-129.482
https://doi.org/10.4028/www.scientific.net/amm.128-129.482
Publikováno v:
2010 5th IEEE Conference on Industrial Electronics and Applications.
Image registration is a preliminary component in medical image analysis, which can significantly improve radiologists' performance in detecting and characterizing the lesion. In this paper, we propose an efficient feature-based non-rigid registration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::753fd6a35d1f81024efae5616a7507a8
https://doi.org/10.1109/iciea.2010.5515185
https://doi.org/10.1109/iciea.2010.5515185
Publikováno v:
2010 Third International Joint Conference on Computational Science and Optimization.
The quality of fingerprint image can heavily affect the performance of fingerprint recognition system, for features essentially needed may not be well extracted due to noises. So it is important to incorporate a fingerprint image enhancement algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b325afa156c0b7ad811b30c6d2ce55c
https://doi.org/10.1109/cso.2010.76
https://doi.org/10.1109/cso.2010.76
Autor:
Ying Cao, Hui-yan Jiang, Ting-jun Qian, Zhi-liang Zhu, Bei-lei Wang, Ke-ming Mao, Hong-juan Liu
Publikováno v:
2010 the 5th IEEE Conference on Industrial Electronics & Applications (ICIEA); 2010, p1657-1661, 5p