Cargando…
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera
We present a deep learning-based multitask framework for joint 3D human pose estimation and action recognition from RGB sensors using simple cameras. The approach proceeds along two stages. In the first, a real-time 2D pose detector is run to determine the precise pixel location of important keypoin...
Autores principales: | Pham, Huy Hieu, Salmane, Houssam, Khoudour, Louahdi, Crouzil, Alain, Velastin, Sergio A., Zegers, Pablo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180926/ https://www.ncbi.nlm.nih.gov/pubmed/32218350 http://dx.doi.org/10.3390/s20071825 |
Ejemplares similares
-
Spatio–Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks †
por: Pham, Huy Hieu, et al.
Publicado: (2019) -
3D Object Detection with SLS-Fusion Network in Foggy Weather Conditions
por: Mai, Nguyen Anh Minh, et al.
Publicado: (2021) -
3D Object Detection for Self-Driving Cars Using Video and LiDAR: An Ablation Study
por: Salmane, Pascal Housam, et al.
Publicado: (2023) -
Dynamic Pose Estimation Using Multiple RGB-D Cameras
por: Hong, Sungjin, et al.
Publicado: (2018) -
Absolute Camera Pose Regression Using an RGB-D Dual-Stream Network and Handcrafted Base Poses
por: Kao, Peng-Yuan, et al.
Publicado: (2022)