@article {ElKaid2022,
	title = {Top-Down System for Multi-Person 3D Absolute Pose Estimation from Monocular Videos},
	journal = {Sensors},
	volume = {22},
	number = {11},
	year = {2022},
	note = {cited By 2},
	abstract = {Two-dimensional (2D) multi-person pose estimation and three-dimensional (3D) root-relative pose estimation from a monocular RGB camera have made significant progress recently. Yet, real-world applications require depth estimations and the ability to determine the distances between people in a scene. Therefore, it is necessary to recover the 3D absolute poses of several people. However, this is still a challenge when using cameras from single points of view. Furthermore, the previously proposed systems typically required a significant amount of resources and memory. To overcome these restrictions, we herein propose a real-time framework for multi-person 3D absolute pose estimation from a monocular camera, which integrates a human detector, a 2D pose estimator, a 3D root-relative pose reconstructor, and a root depth estimator in a top-down manner. The proposed system, called Root-GAST-Net, is based on modified versions of GAST-Net and RootNet networks. The efficiency of the proposed Root-GAST-Net system is demonstrated through quantitative and qualitative evaluations on two benchmark datasets, Human3.6M and MuPoTS-3D. On all evaluated metrics, our experimental results on the MuPoTS-3D dataset outperform the current state-of-the-art by a significant margin, and can run in real-time at 15 fps on the Nvidia GeForce GTX 1080. {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.},
	keywords = {3d multi-person pose estimation, Absolute pose, algorithm, Algorithms, Camera-centric coordinate, Cameras, Computer vision, Deep learning, Deep-learning, human, Humans, Imaging, Monocular video, Pose-estimation, procedures, Real- time, Relative pose, Three-Dimensional, Three-dimensional imaging, Topdown, Two-dimensional},
	doi = {10.3390/s22114109},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130790166\&doi=10.3390\%2fs22114109\&partnerID=40\&md5=7009c9053fd9d12efcd40ade931932f7},
	author = {El Kaid, A. and Brazey, D. and Barra, V. and Baina, K.}
}
@conference {ElKaid20192,
	title = {Reduce False Positive Alerts for Elderly Person Fall Video-Detection Algorithm by convolutional neural network model},
	booktitle = {Procedia Computer Science},
	volume = {148},
	year = {2019},
	note = {cited By 0},
	pages = {2-11},
	doi = {10.1016/j.procs.2019.01.004},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062654984\&doi=10.1016\%2fj.procs.2019.01.004\&partnerID=40\&md5=a3f2ec1800bb3b810f23558c22f75095},
	author = {El Kaid, A. and Baina, K. and Ba{\"\i}na, J.}
}
