Dual‐view 3D human pose estimation without camera parameters for action recognition
Abstract The purpose of 3D human pose estimation is to estimate the 3D coordinates of key points of the human body directly from images. Although multi‐view based methods have better performance and higher precision of coordinate estimation than a single‐view based, they need to know the camera para...
Guardado en:
Autores principales: | Long Liu, Le Yang, Wanjun Chen, Xin Gao |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Wiley
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b1a281c8a03a41f4b1a5c3d70f0f5386 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Class structure‐aware adversarial loss for cross‐domain human action recognition
por: Wanjun Chen, et al.
Publicado: (2021) -
Multi‐view intrinsic low‐rank representation for robust face recognition and clustering
por: Zhi‐yang Wang, et al.
Publicado: (2021) -
A deep learning method for video‐based action recognition
por: Guanwen Zhang, et al.
Publicado: (2021) -
Latent label mining for group activity recognition in basketball videos
por: Lifang Wu, et al.
Publicado: (2021) -
Human behaviour recognition with mid‐level representations for crowd understanding and analysis
por: Bangyong Sun, et al.
Publicado: (2021)