Enhancing action recognition of construction workers using data-driven scene parsing
Vision-based action recognition of construction workers has attracted increasing attention for its diverse applications. Though state-of-the-art performances have been achieved using spatial-temporal features in previous studies, considerable challenges remain in the context of cluttered and dynamic...
Main Author: | Jun Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius Gediminas Technical University
2018-11-01
|
Series: | Journal of Civil Engineering and Management |
Subjects: | |
Online Access: | https://journals.vgtu.lt/index.php/JCEM/article/view/6133 |
Similar Items
-
Road-Scene Parsing Based on Attentional Prototype-Matching
by: Xiaoyu Chen, et al.
Published: (2022-08-01) -
EDET: Entity Descriptor Encoder of Transformer for Multi-Modal Knowledge Graph in Scene Parsing
by: Sai Ma, et al.
Published: (2023-06-01) -
A Drop-in Replacement for LR(1) Table-Driven Parsing
by: Michael Oudshoorn
Published: (2021-12-01) -
Scene Uyghur Recognition Based on Visual Prediction Enhancement
by: Yaqi Liu, et al.
Published: (2023-10-01) -
Interior Human Action Recognition Method Based on Prior Knowledge of Scene
by: LIU Xin, YUAN Jia-bin, WANG Tian-xing
Published: (2022-01-01)