Human Fall Detection Using Von Mises Distribution and Motion Vectors of Interest Points

Abdessamad Youssfi Alaoui, Azeddine Elhassouny, Rachid Oulad Haj Thami, Hamid Tairi · 2017

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.

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