跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
Learning-based human fall detection using rgb-d cameras
Szu-Hao Huang
*
, Ying Cheng Pan
*
此作品的通信作者
資訊管理與財務金融學系
研究成果
:
Conference contribution
›
同行評審
6
引文 斯高帕斯(Scopus)
總覽
指紋
指紋
深入研究「Learning-based human fall detection using rgb-d cameras」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Learning-based
100%
Fall-related Injuries
100%
Fall Detection
100%
RGB-D Camera
100%
Human Fall
100%
Systems-based
50%
Result-oriented
50%
Segmentation Algorithm
50%
Depth Map
50%
RGB-D
50%
Line Detection
50%
Leave-one-out
50%
Machine Learning Techniques
50%
Human Detection
50%
Feature Dimension
50%
Discriminant Analysis
50%
Pixel-wise
50%
Color Video
50%
Fall Detection System
50%
Normalized Cut Segmentation
50%
Test Validity
50%
Real-time Surveillance System
50%
Pose Similarity
50%
Automatic Detection
50%
Experimental Database
50%
Offline Learning
50%
Novel Machine
50%
Background Subtraction Method
50%
Manifold Learning Algorithm
50%
Fall Detector
50%
Computer Science
Experimental Result
100%
Learning Algorithm
100%
Background Subtraction
100%
segmentation algorithm
100%
Detection Process
100%
Analysis Technique
100%
Feature Dimension
100%
Discriminant Analysis
100%
Machine Learning Technique
100%
Line Detection
100%
Automatic Detection
100%
Manifold Learning
100%
Engineering
Fall Detection
100%
Experimental Result
50%
Surveillance System
50%
Learning Algorithm
50%
Similarities
50%
Machine Learning Technique
50%
Detection Process
50%
Offline Learning
50%