In this paper, we propose a novel 2D video-based fall detection pipeline with human pose estimation. Firstly, we used OpenPose to extract the positions of human ...

2024/01/08 · The sensitivity and the specificity of the video-based methods can reach 97% and 99%, respectively [4], indicating that they can accurately ...

2021/07/29 · A video based fall detection approach using human poses is proposed in this paper. First, a lightweight pose estimator extracts 2D poses from video sequences.

A novel 2D video-based fall detection pipeline with human pose estimation with relatively high sensitivity and specificity when compared with other ...

Abstract—In recent years, aging of population and empty nest problem are becoming more and more severe. In addition, fall is.

2021/07/29 · Video based fall detection accuracy has been largely improved due to the recent progress on deep convolutional neural networks.

In this paper, we proposed a lightweight and fast human fall detection system using pose estimation. We used 'Movenet' for human joins key-points extraction.

Real-Time Human Fall Detection Using a Lightweight Pose Estimation Technique. Ekram Alam, Abu Sufian, Paramartha Dutta, Marco Leo. https://doi.org/10.1007/978 ...

We present in this paper, a fall detection approach that explores human body geometry available at different frames of the video sequence.

With this paper we present a novel video-based fall detection system. The key contributions are 3D human key point estimation based on a state-of-the-art 2D ...