|
English
|
正體中文
|
简体中文
|
Total items :2822924
|
|
Visitors :
30060416
Online Users :
1126
Project Commissioned by the Ministry of Education Project Executed by National Taiwan University Library
|
|
|
Taiwan Academic Institutional Repository >
Browse by Author
|
"huang shih shinh"
Showing items 31-40 of 58 (6 Page(s) Totally) << < 1 2 3 4 5 6 > >> View [10|25|50] records per page
國立臺灣大學 |
2009 |
Region-Level Motion-Based Foreground Segmentation Under a Bayesian Network
|
Huang, Shih-Shinh; Fu, Li-Chen; Hsiao, Pei-Yung |
國立臺灣大學 |
2009 |
A Portable Vision-Based Real-Time Lane Departure Warning System: Day and Night
|
Hsiao, Pei-Yung; Yeh, Chun-Wei; Huang, Shih-Shinh; Fu, Li-Chen |
臺大學術典藏 |
2009 |
Active-learning assisted self-reconfigurable activity recognition in a dynamic environment.
|
Ho, Yu-chen;Lu, Ching-Hu;Chen, Yi-Han;Huang, Shih-Shinh;Wang, Ching-Yao;Fu, Li-Chen; Ho, Yu-chen; Lu, Ching-Hu; Chen, Yi-Han; Huang, Shih-Shinh; Wang, Ching-Yao; Fu, Li-Chen; LI-CHEN FU |
國立臺灣大學 |
2008 |
Monocular Multi-Human Detection Using Augmented Histograms of Oriented Gradients
|
Chuang Cheng-Hsiung; Huang Shih-Shinh; Fu Li-Chen; Hsiao Pei-Yung |
國立高雄第一科技大學 |
2007 |
A Bayesian Network for Foreground Segmentation in Region Level
|
Huang, Shih-Shinh;Fu, Li-Chen;Hsiao, Pei-Yung |
國立臺灣大學 |
2007 |
前景切割與人體姿態估測
|
黃世勳; Huang, Shih-Shinh |
國立臺灣大學 |
2007 |
Region-Level Motion-Based Background Modeling and Subtraction Using MRFs
|
Huang, Shih-Shinh; Fu, Li-Chen; Hsiao, Pei-Yung |
國立臺灣大學 |
2007 |
Human Pose Recognition by Combining Static Recognition with Motion Information
|
Huang Shih-Shinh; Fu Li-Chen |
臺大學術典藏 |
2007 |
Human Pose Recognition by Combining Static Recognition with Motion Information
|
Huang Shih-Shinh; Fu Li-Chen; Huang Shih-Shinh; Fu Li-Chen |
臺大學術典藏 |
2007 |
Region-Level Motion-Based Background Modeling and Subtraction Using MRFs
|
Huang, Shih-Shinh; Fu, Li-Chen; Hsiao, Pei-Yung; Huang, Shih-Shinh; Fu, Li-Chen; Hsiao, Pei-Yung |
Showing items 31-40 of 58 (6 Page(s) Totally) << < 1 2 3 4 5 6 > >> View [10|25|50] records per page
|