Multitask Learning Method for Detecting the Visual Focus of Attention of Construction Workers

A context-augmented deep learning approach for worker trajectory prediction on unstructured and dynamic construction sites

(2020) Jiannan Cai et al.   ADVANCED ENGINEERING INFORMATICS

End-to-end vision-based detection, tracking and activity analysis of earthmoving equipment filmed at ground level

(2019) Dominic Roberts et al.   AUTOMATION IN CONSTRUCTION

Two-step long short-term memory method for identifying construction activities through positional and attentional cues

(2019) Jiannan Cai et al.   AUTOMATION IN CONSTRUCTION

Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach

(2018) Weili Fang et al.   ADVANCED ENGINEERING INFORMATICS

Falls from heights: A computer vision-based approach for safety harness detection

(2018) Weili Fang et al.   AUTOMATION IN CONSTRUCTION

A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory

(2018) Lieyun Ding et al.   AUTOMATION IN CONSTRUCTION

Convolutional neural networks: Computer vision-based workforce activity assessment in construction

(2018) Hanbin Luo et al.   AUTOMATION IN CONSTRUCTION

Recognizing Diverse Construction Activities in Site Images via Relevance Networks of Construction-Related Objects Detected by Convolutional Neural Networks

(2018) Xiaochun Luo et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking

(2018) Sogand Hasanzadeh et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Appearance based pedestrians’ head pose and body orientation estimation using deep learning

(2018) Mudassar Raza et al.   NEUROCOMPUTING

Real-time head pose estimation using multi-task deep neural network

(2018) Byungtae Ahn et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking

(2018) Sogand Hasanzadeh et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Are Visual Search Patterns Predictive of Hazard Recognition Performance? Empirical Investigation Using Eye-Tracking Technology

(2018) Idris Jeelani et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Detection of construction workers under varying poses and changing background in image sequences via very deep residual networks

(2018) Hyojoo Son et al.   AUTOMATION IN CONSTRUCTION

Tracking Gaze and Visual Focus of Attention of People Involved in Social Interaction

(2017) Benoit Masse et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Impact of Construction Workers’ Hazard Identification Skills on Their Visual Attention

(2017) Sogand Hasanzadeh et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods

(2017) Massimiliano Patacchiola et al.   PATTERN RECOGNITION

Impact of Construction Workers’ Hazard Identification Skills on Their Visual Attention

(2017) Sogand Hasanzadeh et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Predicting movements of onsite workers and mobile equipment for enhancing construction site safety

(2016) Zhenhua Zhu et al.   AUTOMATION IN CONSTRUCTION

A Multi-Task Learning Framework for Head Pose Estimation under Target Motion

(2016) Yan Yan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Proximity hazard indicator for workers-on-foot near miss interactions with construction equipment and geo-referenced hazard areas

(2015) Jochen Teizer et al.   AUTOMATION IN CONSTRUCTION

An Adaptive Motion Model for Person Tracking with Instantaneous Head-Pose Features

(2015) Rolf H. Baxter et al.   IEEE SIGNAL PROCESSING LETTERS

A Probabilistic Framework for Joint Pedestrian Head and Body Orientation Estimation

(2015) Fabian Flohr et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors

(2013) Milad Memarzadeh et al.   AUTOMATION IN CONSTRUCTION

Construction worker detection in video frames for initializing vision trackers

(2012) Man-Woo Park et al.   AUTOMATION IN CONSTRUCTION

Learning and classifying actions of construction workers and equipment using Bag-of-Video-Feature-Words and Bayesian network models

(2011) Jie Gong et al.   ADVANCED ENGINEERING INFORMATICS

Coarse head pose estimation of construction equipment operators to formulate dynamic blind spots

(2011) Soumitry J. Ray et al.   ADVANCED ENGINEERING INFORMATICS

Head Pose Estimation in Computer Vision: A Survey

(2009) E. Murphy-Chutorian et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Human Factors Analysis Classification System Relating to Human Error Awareness Taxonomy in Construction Safety

(2009) J. W. Garrett et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT