Name
Title | ||
|---|---|---|
Human Fall Detection Using Von Mises Distribution and Motion Vectors of Interest Points |
Abstract | ||
|---|---|---|
In the field of public health care, fall detection is one of the major problem, especially for elderly persons. For that, an effective surveillance system is a necessity to reduce injuries caused by falls. Our article presents a new method to detect falls. In fact, we used optical flow to calculate motion vectors and statistical distribution named von Mises. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3090354.3090438 | BDCA |
Field | DocType | ISBN |
Public health,Data mining,Computer science,von Mises distribution,Artificial intelligence,Health informatics,Optical flow,von Mises yield criterion,Consumer health,Machine learning | Conference | 978-1-4503-4852-2 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdessamad Youssfi Alaoui | 1 | 0 | 0.34 |
| Azeddine El Hassouny | 2 | 0 | 0.34 |
| Rachid Oulad Haj Thami | 3 | 53 | 9.94 |
| Hamid Tairi | 4 | 57 | 17.49 |