Action recognition of construction workers under occlusion-Reference-Cited by-同舟云学术

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Action recognition of construction workers under occlusion

Published:2022-01 Issue: Volume:45 Page:103352
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Li Ziqi,Li Dongsheng

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference58 articles.

1. Infrared and 3D Skeleton Feature Fusion for RGB-D Action Recognition, (2020).

2. Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points;Baradel,2018

3. SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition;Caetano,2019

4. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields;Cao,2018

5. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields;Cao,2018

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1. Vision-Based Real-Time Posture Tracking for Multiple Construction Workers;Journal of Computing in Civil Engineering;2024-07

2. Construction Activity Recognition Method Based on Object Detection, Attention Orientation Estimation, and Person Re-Identification;Buildings;2024-06-03

3. Unsupervised clustering-based domain adaptation for estimating occupancy and recognizing activities in smart buildings;Journal of Building Engineering;2024-05

4. Integrating Domain Knowledge with Deep Learning Model for Automated Worker Activity Classification in mobile work zone;Journal of Information Technology in Construction;2024-04-18

5. Deep learning-based automated productivity monitoring for on-site module installation in off-site construction;Developments in the Built Environment;2024-04

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