In this paper, a depth based fall detection system is proposed. The proposed method consists of shape based fall characterization and a Support Vector Machine ( ...
When an on-the-ground event is detected, the depth camera sensor system uses a decision tree to produce a percentage confidence that a fall occurred (Skubic et ...
In this paper we propose a fall detection solution based on transformers, ie state-of-the-art neural networks for computer vision tasks.
In this work, an occlusion robust method is presented based on two features: human centroid height relative to the ground and body velocity. Indeed, the first ...
Abstract: The proposed fall detection approach is aimed at building a support system for old age people living alone in their homes.
Some researchers extracted motion from the videos using Motion History Image (MHI) and used it to detect falls [3], [4]. However these systems assumed that the ...
In this paper, we propose an accurate fall detection method investigating the depth frames of the human body using a single device in a top-view configuration, ...
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Abstract— The purpose of this study was to implement a web based application to provide the ability to rewind and review depth videos captured in hospital ...
In this work, an occlusion robust method is presented based on two features: human centroid height relative to the ground and body velocity. Indeed, the first ...
We present a human fall dataset named 'GMDCSA-24' to assist researchers in developing models for detecting human falls and other non-fall activities (ADL).