High Inclusiveness and Accuracy Motion Blur Real-Time Gesture Recognition Based on YOLOv4 Model Combined Attention Mechanism and DeblurGanv2
The combination of gesture recognition and aerospace exploration robots can realize the efficient non-contact control of the robots. In the harsh aerospace environment, the captured gesture images are usually blurred and damaged inevitably. The motion blurred images not only cause part of the transm...
Guardado en:
Autores principales: | Hongchao Zhuang, Yilu Xia, Ning Wang, Lei Dong |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0946b84efb9c4529824b1fb1dfc58d9d |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A New Full-Reference Image Quality Metric for Motion Blur Profile Characterization
por: Mohammad Abdullah-Al-Mamun, et al.
Publicado: (2021) -
Human and Scene Motion Deblurring Using Pseudo-Blur Synthesizer
por: Jonathan Samuel Lumentut, et al.
Publicado: (2021) -
A Review of the Hand Gesture Recognition System: Current Progress and Future Directions
por: Noraini Mohamed, et al.
Publicado: (2021) -
Augmented Reality Assisted Assembly Training Oriented Dynamic Gesture Recognition and Prediction
por: Jiaqi Dong, et al.
Publicado: (2021) -
Skeleton Joints Moment (SJM): A Hand Gesture Dimensionality Reduction for Central Nervous System Interaction
por: Zainal Abdul Kahar, et al.
Publicado: (2021)