Computer vision techniques in construction: A critical review

A Computational Approach to Edge Detection

Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004 · see citing works

Object recognition from local scale-invariant features

Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790410 · Cited by 16,472 · see citing works

A Combined Corner and Edge Detector

Harris, C., & Stephens, M. (1988) · Procedings of the Alvey Vision Conference 1988 · doi:10.5244/c.2.23 · Cited by 12,901 · see citing works

Mean shift: a robust approach toward feature space analysis

Comaniciu, D., & Meer, P. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.1000236 · Cited by 11,417 · see citing works

Kernel-based object tracking

Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560 · see citing works

Machine Learning for High-Speed Corner Detection

Rosten, E., & Drummond, T. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_34 · Cited by 4,555 · see citing works

Computer Vision: A Modern Approach

Forsyth, D. A., & Ponce, J. (2002) · Cited by 3,728 · see citing works

SUSAN—a new approach to low level image processing

Smith, S. M., & Brady, J. M. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007963824710 · Cited by 3,333 · see citing works

Human activity analysis

Aggarwal, J. K., & Ryoo, M. S. (2011) · ACM Computing Surveys · doi:10.1145/1922649.1922653 · Cited by 2,053 · see citing works

Detecting non-hardhat-use by a deep learning method from far-field surveillance videos

Qi, F., Li, H., Luo, X., Ding, L., Luo, H., Rose, T. M., & An, W. (2017) · Automation in Construction · doi:10.1016/j.autcon.2017.09.018 · Cited by 585 · see citing works

Computer vision techniques for construction safety and health monitoring

Seo, J., Han, S., Lee, S. H., & Kim, H. (2015) · Advanced Engineering Informatics · doi:10.1016/j.aei.2015.02.001 · Cited by 563 · see citing works

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

Ding, L., Fang, W., Luo, H., Love, P. E. D., Zhong, B., & Ouyang, X. (2017) · Automation in Construction · doi:10.1016/j.autcon.2017.11.002 · Cited by 479 · see citing works

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

Fang, W., Ding, L., Luo, H., & Love, P. E. D. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.02.018 · Cited by 463 · see citing works

Automated Progress Monitoring Using Unordered Daily Construction Photographs and IFC-Based Building Information Models

Golparvar‐Fard, M., Pena-Mora, F. A., & Savarese, S. (2012) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000205 · Cited by 417 · see citing works

Automated progress tracking using 4D schedule and 3D sensing technologies

Türkan, Y., Bosché, F., Haas, C. T., & Haas, R. (2011) · Automation in Construction · doi:10.1016/j.autcon.2011.10.003 · Cited by 381 · see citing works

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

Fang, W., Ding, L., Zhong, B., Love, P. E. D., & Luo, H. (2018) · Advanced Engineering Informatics · doi:10.1016/j.aei.2018.05.003 · Cited by 365 · see citing works

A vision-based motion capture and recognition framework for behavior-based safety management

Han, S., & Lee, S. H. (2013) · Automation in Construction · doi:10.1016/j.autcon.2013.05.001 · Cited by 349 · see citing works

Automated construction progress measurement using a 4D building information model and 3D data

Kim, C., Kim, C., Son, H., et al. (2012) · Automation in Construction · doi:10.1016/j.autcon.2012.11.041 · Cited by 323 · see citing works

Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future

Yang, J., Park, M.-W., Vela, P. A., & Golparvar‐Fard, M. (2015) · Advanced Engineering Informatics · doi:10.1016/j.aei.2015.01.011 · Cited by 296 · see citing works

Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers

Golparvar‐Fard, M., Heydarian, A., & Niebles, J. C. (2013) · Advanced Engineering Informatics · doi:10.1016/j.aei.2013.09.001 · Cited by 287 · see citing works

Transfer learning and deep convolutional neural networks for safety guardrail detection in 2D images

Kolar, Z., Chen, H., & Luo, X. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.01.003 · Cited by 283 · see citing works

A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning

Kim, M.-K., Cheng, J. C. P., Hoon Sohn, A., & Chang, C. C. (2014) · Automation in Construction · doi:10.1016/j.autcon.2014.07.010 · Cited by 277 · see citing works

Application of D4AR – A 4-Dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication

Golparvar‐Fard, M., Pena-Mora, F. A., & Savarese, S. (2009) · Journal of Information Technology in Construction · Cited by 276 · see citing works

Risk Assessment of Work-Related Musculoskeletal Disorders in Construction: State-of-the-Art Review

Wang, D., Dai, F., & Ning, X. (2015) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000979 · Cited by 274 · see citing works

Visualization of Construction Progress Monitoring with 4D Simulation Model Overlaid on Time-Lapsed Photographs

Golparvar‐Fard, M., Pena-Mora, F. A., Arboleda, C. A., & Lee, S. H. (2009) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)0887-3801(2009)23:6(391 · Cited by 264 · see citing works

Vision-Based Material Recognition for Automated Monitoring of Construction Progress and Generating Building Information Modeling from Unordered Site Image Collections

Dimitrov, A., & Golparvar-Fard, M. (2014) · Advanced Engineering Informatics · doi:10.1016/j.aei.2013.11.002 · Cited by 261 · see citing works

Remote proximity monitoring between mobile construction resources using camera-mounted UAVs

Kim, D., Liu, M., Lee, S. H., & Kamat, V. R. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.12.014 · Cited by 261 · see citing works

Construction worker detection in video frames for initializing vision trackers

Park, M.-W., & Brilakis, I. (2012) · Automation in Construction · doi:10.1016/j.autcon.2012.06.001 · Cited by 259 · see citing works

Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning

Kim, H., Kim, H., Hong, Y. W., & Byun, H. (2017) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000731 · Cited by 257 · see citing works

Appearance-Based Material Classification for Monitoring of Operation-Level Construction Progress Using 4D BIM and Site Photologs

Han, K. K., & Golparvar-Fard, M. (2015) · Automation in Construction · doi:10.1016/j.autcon.2015.02.007 · Cited by 246 · see citing works

Automated vision tracking of project related entities

Brilakis, I., Park, M.-W., & Jog, G. M. (2011) · Advanced Engineering Informatics · doi:10.1016/j.aei.2011.01.003 · Cited by 238 · see citing works

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

Memarzadeh, M., Golparvar‐Fard, M., & Niebles, J. C. (2013) · Automation in Construction · doi:10.1016/j.autcon.2012.12.002 · Cited by 235 · see citing works

Hardhat-Wearing Detection for Enhancing On-Site Safety of Construction Workers

Park, M.-W., Elsafty, N., & Zhu, Z. (2015) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000974 · Cited by 223 · see citing works

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

Luo, H., Xiong, C., Fang, W., Love, P. E. D., Zhang, B., & Ouyang, X. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.06.007 · Cited by 219 · see citing works

Potential of big visual data and building information modeling for construction performance analytics: An exploratory study

Han, K. K., & Golparvar‐Fard, M. (2016) · Automation in Construction · doi:10.1016/j.autcon.2016.11.004 · Cited by 217 · see citing works

Image-based construction hazard avoidance system using augmented reality in wearable device

Kim, K., Kim, H., & Kim, H. (2017) · Automation in Construction · doi:10.1016/j.autcon.2017.06.014 · Cited by 215 · see citing works

Automated Object Identification Using Optical Video Cameras on Construction Sites

Chi, S., & Caldas, C. H. (2010) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/j.1467-8667.2010.00690.x · Cited by 214 · see citing works

Construction waste recycling robot for nails and screws: Computer vision technology and neural network approach

Wang, Z., Li, H., & Zhang, X. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.11.009 · Cited by 212 · see citing works

Integrated Sequential As-Built and As-Planned Representation with D4AR Tools in Support of Decision-Making Tasks in the AEC/FM Industry

Golparvar‐Fard, M., Pena-Mora, F. A., & Savarese, S. (2011) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000371 · Cited by 211 · see citing works

Computer Vision-Based Video Interpretation Model for Automated Productivity Analysis of Construction Operations

Gong, J., & Caldas, C. H. (2009) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000027 · Cited by 209 · see citing works

Automated computer vision-based detection of components of under-construction indoor partitions

Hamledari, H., McCabe, B. Y., & Davari, S. (2016) · Automation in Construction · doi:10.1016/j.autcon.2016.11.009 · Cited by 206 · see citing works

Point cloud quality requirements for Scan-vs-BIM based automated construction progress monitoring

Rebolj, D., Pučko, Z., Babić, N. Č., et al. (2017) · Automation in Construction · doi:10.1016/j.autcon.2017.09.021 · Cited by 204 · see citing works

Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites

Teizer, J. (2015) · Advanced Engineering Informatics · doi:10.1016/j.aei.2015.03.006 · Cited by 200 · see citing works

Exploratory Study of Potential Applications of Unmanned Aerial Systems for Construction Management Tasks

Irizarry, J., & Costa, D. B. (2016) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000422 · Cited by 184 · see citing works

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

Luo, X., Li, H., Cao, D., Dai, F., Seo, J., & Lee, S. H. (2018) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000756 · Cited by 182 · see citing works

Computer vision aided inspection on falling prevention measures for steeplejacks in an aerial environment

Qi, F., Li, H., Luo, X., Ding, L., Luo, H., & Li, C. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.05.022 · Cited by 171 · see citing works

Vision-based action recognition of construction workers using dense trajectories

Yang, J., Shi, Z., & Wu, Z. (2016) · Advanced Engineering Informatics · doi:10.1016/j.aei.2016.04.009 · Cited by 170 · see citing works

Automated Estimation of Reinforced Precast Concrete Rebar Positions Using Colored Laser Scan Data

Wang, Q., Cheng, J. C. P., & Sohn, H. (2017) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12293 · Cited by 170 · see citing works

Vision-Based Object-Centric Safety Assessment Using Fuzzy Inference: Monitoring Struck-By Accidents with Moving Objects

Kim, H., Kim, K., & Kim, H. (2015) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000562 · Cited by 168 · see citing works

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

Gong, J., Caldas, C. H., & Gordon, C. (2011) · Advanced Engineering Informatics · doi:10.1016/j.aei.2011.06.002 · Cited by 167 · see citing works

An object recognition, tracking, and contextual reasoning-based video interpretation method for rapid productivity analysis of construction operations

Gong, J., & Caldas, C. H. (2011) · Automation in Construction · doi:10.1016/j.autcon.2011.05.005 · Cited by 165 · see citing works

Vision-Based Framework for Intelligent Monitoring of Hardhat Wearing on Construction Sites

Mneymneh, B. E., Abbas, M., & Khoury, H. (2018) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000813 · Cited by 162 · see citing works

Characterization of Laser Scanners and Algorithms for Detecting Flatness Defects on Concrete Surfaces

Tang, P., Huber, D., & Akinci, B. (2010) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000073 · Cited by 159 · see citing works

Automated continuous construction progress monitoring using multiple workplace real time 3D scans

Pučko, Z., Šuman, N., & Rebolj, D. (2018) · Advanced Engineering Informatics · doi:10.1016/j.aei.2018.06.001 · Cited by 157 · see citing works

Vision-Based Detection of Unsafe Actions of a Construction Worker: Case Study of Ladder Climbing

Han, S., Lee, S. H., & Pena-Mora, F. A. (2012) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000279 · Cited by 153 · see citing works

Towards efficient and objective work sampling: Recognizing workers' activities in site surveillance videos with two-stream convolutional networks

Luo, X., Li, H., Cao, D., Yu, Y., Yang, X., & Huang, T. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.07.011 · Cited by 153 · see citing works

Interaction analysis for vision-based activity identification of earthmoving excavators and dump trucks

Kim, J., Chi, S., & Seo, J. (2018) · Automation in Construction · doi:10.1016/j.autcon.2017.12.016 · Cited by 148 · see citing works

3D structural component recognition and modeling method using color and 3D data for construction progress monitoring

Son, H., & Kim, C. (2010) · Automation in Construction · doi:10.1016/j.autcon.2010.03.003 · Cited by 147 · see citing works

Part based model and spatial–temporal reasoning to recognize hydraulic excavators in construction images and videos

Azar, E. R., & McCabe, B. Y. (2012) · Automation in Construction · doi:10.1016/j.autcon.2012.03.003 · Cited by 144 · see citing works

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

Zhu, Z., Park, M.-W., Koch, C., Soltani, M., Hammad, A., & Davari, K. (2016) · Automation in Construction · doi:10.1016/j.autcon.2016.04.009 · Cited by 144 · see citing works

Vision-Based Tower Crane Tracking for Understanding Construction Activity

Yang, J., Vela, P. A., Teizer, J., & Shi, Z. (2012) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000242 · Cited by 141 · see citing works

Ergonomic posture recognition using 3D view-invariant features from single ordinary camera

Zhang, H., Yan, X., & Li, H. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.05.033 · Cited by 140 · see citing works

Towards automated progress assessment of workpackage components in construction projects using computer vision

Ibrahim, Y. M., Lukins, T. C., Zhang, X., et al. (2008) · Advanced Engineering Informatics · doi:10.1016/j.aei.2008.07.002 · Cited by 136 · see citing works

Image-Based Safety Assessment: Automated Spatial Safety Risk Identification of Earthmoving and Surface Mining Activities

Chi, S., & Caldas, C. H. (2011) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000438 · Cited by 134 · see citing works

Continuous localization of construction workers via integration of detection and tracking

Park, M.-W., & Brilakis, I. (2016) · Automation in Construction · doi:10.1016/j.autcon.2016.08.039 · Cited by 134 · see citing works

Vision-based integrated mobile robotic system for real-time applications in construction

Asadi, K., Ramshankar, H., Pullagurla, H., Bhandare, A., Shanbhag, S., Mehta, P., Kundu, S., Han, K. K., Lobaton, E. J., & Wu, T. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.10.009 · Cited by 134 · see citing works

Comparative study of vision tracking methods for tracking of construction site resources

Park, M.-W., Makhmalbaf, A., & Brilakis, I. (2011) · Automation in Construction · doi:10.1016/j.autcon.2011.03.007 · Cited by 132 · see citing works

Automated Visual Recognition of Dump Trucks in Construction Videos

Azar, E. R., & McCabe, B. Y. (2011) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000179 · Cited by 132 · see citing works

Vision-based workface assessment using depth images for activity analysis of interior construction operations

Khosrowpour, A., Niebles, J. C., & Golparvar‐Fard, M. (2014) · Automation in Construction · doi:10.1016/j.autcon.2014.08.003 · Cited by 132 · see citing works

Automating and scaling personalized safety training using eye-tracking data

Jeelani, I., Han, K. K., & Albert, A. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.05.006 · Cited by 128 · see citing works

Automating the blind spot measurement of construction equipment

Teizer, J., Allread, B. S., & Mantripragada, U. (2010) · Automation in Construction · doi:10.1016/j.autcon.2009.12.012 · Cited by 127 · see citing works

Server-Customer Interaction Tracker: Computer Vision–Based System to Estimate Dirt-Loading Cycles

Azar, E. R., Dickinson, S., & McCabe, B. Y. (2012) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000652 · Cited by 127 · see citing works

Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring

Han, K. K., DeGol, J., & Golparvar‐Fard, M. (2017) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0001428 · Cited by 122 · see citing works

Three-Dimensional Tracking of Construction Resources Using an On-Site Camera System

Park, M.-W., Koch, C., & Brilakis, I. (2011) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000168 · Cited by 121 · see citing works

Automating progress measurement of construction projects

Zhang, X., Bakis, N., Lukins, T. C., et al. (2008) · Automation in Construction · doi:10.1016/j.autcon.2008.09.004 · Cited by 118 · see citing works

Fusion of Photogrammetry and Video Analysis for Productivity Assessment of Earthwork Processes

Bügler, M., Borrmann, A., Ogunmakin, G., Vela, P. A., & Teizer, J. (2016) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12235 · Cited by 113 · see citing works

UAV-based automatic generation of high-resolution panorama at a construction site with a focus on preprocessing for image stitching

Bang, S., Kim, H., & Kim, H. (2017) · Automation in Construction · doi:10.1016/j.autcon.2017.08.031 · Cited by 113 · see citing works

Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning

Luo, X., Li, H., Yang, X., Yu, Y., & Cao, D. (2018) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12419 · Cited by 112 · see citing works

An intelligent vision-based approach for helmet identification for work safety

Wu, H., & Zhao, J.-S. (2018) · Computers in industry (Print) · doi:10.1016/j.compind.2018.03.037 · Cited by 109 · see citing works

An object-based 3D walk-through model for interior construction progress monitoring

Roh, S., Aziz, Z., & Peña-Mora, F. (2011) · Automation in Construction · doi:10.1016/j.autcon.2010.07.003 · Cited by 108 · see citing works

Automated Color Model–Based Concrete Detection in Construction-Site Images by Using Machine Learning Algorithms

Son, H., Kim, C., & Kim, C. (2011) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000141 · Cited by 107 · see citing works

Smart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloud

Wang, C., & Cho, Y. K. (2014) · Automation in Construction · doi:10.1016/j.autcon.2014.06.003 · Cited by 102 · see citing works

Formalized knowledge of construction sequencing for visual monitoring of work-in-progress via incomplete point clouds and low-LoD 4D BIMs

Han, K. K., Cline, D., & Golparvar‐Fard, M. (2015) · Advanced Engineering Informatics · doi:10.1016/j.aei.2015.10.006 · Cited by 102 · see citing works

Toward Automated Earned Value Tracking Using 3D Imaging Tools

Türkan, Y., Bosché, F., Haas, C. T., & Haas, R. (2012) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000629 · Cited by 101 · see citing works

Skeleton estimation of excavator by detecting its parts

Soltani, M. M., Zhu, Z., & Hammad, A. (2017) · Automation in Construction · doi:10.1016/j.autcon.2017.06.023 · Cited by 99 · see citing works

Automated annotation for visual recognition of construction resources using synthetic images

Soltani, M. M., Zhu, Z., & Hammad, A. (2015) · Automation in Construction · doi:10.1016/j.autcon.2015.10.002 · Cited by 98 · see citing works

Framework for Location Data Fusion and Pose Estimation of Excavators Using Stereo Vision

Soltani, M. M., Zhu, Z., & Hammad, A. (2018) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000783 · Cited by 98 · see citing works

Motion Data-Driven Biomechanical Analysis during Construction Tasks on Sites

Seo, J., Starbuck, R., Han, S., et al. (2014) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000400 · Cited by 91 · see citing works

Technological assessment and process implications of field data capture technologies for construction and facility/infrastructure management

Kiziltas, S., Akinci, B., Ergen, E., et al. (2008) · Cited by 86 · see citing works

Automated Schedule Updates Using As-Built Data and a 4D Building Information Model

Son, H., Kim, C., & Cho, Y. K. (2017) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000528 · Cited by 81 · see citing works

3D tracking of multiple onsite workers based on stereo vision

Lee, Y.-J., & Park, M.-W. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.11.017 · Cited by 80 · see citing works

Image-and-Skeleton-Based Parameterized Approach to Real-Time Identification of Construction Workers’ Unsafe Behaviors

Guo, H., Yu, Y., Ding, Q., & Skitmore, M. (2018) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0001497 · Cited by 79 · see citing works

Crowdsourcing Construction Activity Analysis from Jobsite Video Streams

Liu, K., & Golparvar‐Fard, M. (2015) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0001010 · Cited by 77 · see citing works

Object Recognition in Construction-Site Images Using 3D CAD-Based Filtering

Wu, Y., Kim, H., Kim, C., & Han, S. H. (2009) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)0887-3801(2010)24:1(56 · Cited by 77 · see citing works

Visual Tracking of Construction Jobsite Workforce and Equipment with Particle Filtering

Zhu, Z., Ren, X., & Chen, D. (2016) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000573 · Cited by 77 · see citing works

Vision-Based Excavator Detection and Tracking Using Hybrid Kinematic Shapes and Key Nodes

Yuan, C., Li, S., & Cai, H. (2016) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000602 · Cited by 77 · see citing works

Optimum Assembly Planning for Modular Construction Components

Rausch, C., Nahangi, M., Perreault, M., et al. (2016) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000605 · Cited by 74 · see citing works

Comparative Study of Motion Features for Similarity-Based Modeling and Classification of Unsafe Actions in Construction

Han, S., Lee, S. H., & Pena-Mora, F. A. (2013) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000339 · Cited by 72 · see citing works

Data-driven scene parsing method for recognizing construction site objects in the whole image

Kim, H., Kim, K., & Kim, H. (2016) · Automation in Construction · doi:10.1016/j.autcon.2016.08.018 · Cited by 67 · see citing works

Automated Model‐Based Finding of 3D Objects in Cluttered Construction Point Cloud Models

Sharif, M.-M., Nahangi, M., Haas, C. T., & West, J. S. (2017) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12306 · Cited by 66 · see citing works

A proactive workers' safety risk evaluation framework based on position and posture data fusion

Chen, H., Luo, X., Zheng, Z., & Ke, J. (2018) · Automation in Construction · doi:10.1016/j.autcon.2018.11.026 · Cited by 66 · see citing works

Performance evaluation of 3D descriptors for object recognition in construction applications

Chen, J., Fang, Y., & Cho, Y. K. (2017) · Automation in Construction · doi:10.1016/j.autcon.2017.10.033 · Cited by 65 · see citing works

Real-Time 3D Crane Workspace Update Using a Hybrid Visualization Approach

Chen, J., Fang, Y., & Cho, Y. K. (2017) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000698 · Cited by 63 · see citing works

Projection-Recognition-Projection Method for Automatic Object Recognition and Registration for Dynamic Heavy Equipment Operations

Cho, Y. K., & Gai, M. (2013) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000332 · Cited by 62 · see citing works

Principal Axes Descriptor for Automated Construction-Equipment Classification from Point Clouds

Chen, J., Fang, Y., Cho, Y. K., & Kim, C. (2016) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000628 · Cited by 62 · see citing works

Image-based modeling of built environment from an unmanned aerial system

Rodríguez‐Gonzálvez, P., González‐Aguilera, D., Lopez-Jimenez, G., et al. (2014) · Automation in Construction · doi:10.1016/j.autcon.2014.08.010 · Cited by 59 · see citing works

Adaptive Detector and Tracker on Construction Sites Using Functional Integration and Online Learning

Kim, J., & Chi, S. (2017) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000677 · Cited by 57 · see citing works

Data-Fusion Approaches and Applications for Construction Engineering

Shahandashti, M., Razavi, S., Soibelman, L., Berges, M. E., Caldas, C. H., Brilakis, I., Teizer, J., Vela, P. A., Haas, C. T., Garrett, J. H., et al. (2010) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000287 · Cited by 56 · see citing works

Computing 3D blind spots of construction equipment: Implementation and evaluation of an automated measurement and visualization method utilizing range point cloud data

Ray, S. J., & Teizer, J. (2013) · Automation in Construction · doi:10.1016/j.autcon.2013.08.007 · Cited by 56 · see citing works

3D reconstruction of a concrete mixer truck for training object detectors

Kim, H., & Kim, H. (2018) · Automation in Construction · doi:10.1016/j.autcon.2017.12.034 · Cited by 51 · see citing works

Matching Construction Workers across Views for Automated 3D Vision Tracking On-Site

Konstantinou, E., & Brilakis, I. (2018) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0001508 · Cited by 44 · see citing works

Construction Equipment Identification Using Marker-Based Recognition and an Active Zoom Camera

Azar, E. R. (2015) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000507 · Cited by 42 · see citing works

Image-Based Localization and Content Authoring in Structure-from-Motion Point Cloud Models for Real-Time Field Reporting Applications

Bae, H., Golparvar‐Fard, M., & White, J. (2014) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000392 · Cited by 42 · see citing works

Two-Dimensional Visual Tracking in Construction Scenarios: A Comparative Study

Xiao, B., & Zhu, Z. (2018) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000738 · Cited by 42 · see citing works

Kinematics chain based dimensional variation analysis of construction assemblies using building information models and 3D point clouds

Rausch, C., Nahangi, M., Haas, C. T., et al. (2016) · Automation in Construction · doi:10.1016/j.autcon.2016.12.001 · Cited by 39 · see citing works

Quantifying the physical intensity of construction workers, a mechanical energy approach

Kong, L., Li, H., Yu, Y., Luo, H., Skitmore, M., & Antwi‐Afari, M. F. (2018) · Advanced Engineering Informatics · doi:10.1016/j.aei.2018.08.005 · Cited by 38 · see citing works

Three-Dimensional Modeling of Site Elements by Analytically Processing Image Data Contained in Site Photos

Dai, F., & Lu, M. (2012) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0000655 · Cited by 37 · see citing works

Automated Brick Counting for Façade Construction Progress Estimation

Hui, L., Park, M.-W., & Brilakis, I. (2014) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000423 · Cited by 29 · see citing works

Testing in harsh conditions: Tracking resources on construction sites with machine vision

Jog, G. M., Brilakis, I., & Angelides, D. C. (2010) · Automation in Construction · doi:10.1016/j.autcon.2010.11.003 · Cited by 22 · see citing works

Automated Real-Time Monitoring System to Measure Shift Production of Tunnel Construction Projects

Ranaweera, K., Ruwanpura, J. Y., & Fernando, S. (2012) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000199 · Cited by 21 · see citing works

Semantic Annotation of Videos from Equipment-Intensive Construction Operations by Shot Recognition and Probabilistic Reasoning

Azar, E. R. (2017) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000693 · Cited by 21 · see citing works

Measuring Bridge Construction Efficiency Using the Wireless Real-Time Video Monitoring System

Bai, Y., Huan, J., & Kim, S. (2011) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000061 · Cited by 19 · see citing works

Infrastructureless approach for ubiquitous user location tracking in construction environments

Khoury, H., Chdid, D., Oueis, R., et al. (2015) · Automation in Construction · doi:10.1016/j.autcon.2015.04.009 · Cited by 18 · see citing works

Entropy-Based Approach to Analyze and Classify Mineral Aggregates

de Gouveia, L. T., Costa, L. D. F., Senger, L. J., et al. (2010) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000071 · Cited by 8 · see citing works

Comparison of Local Visual Feature Detectors and Descriptors for the Registration of 3D Building Scenes

Zhu, Z., & Davari, K. (2014) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000381 · Cited by 7 · see citing works

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

Zhang, S., Li, Y., Zhang, S., Shahabi, F., Xia, S., Deng, Y., & Alshurafa, N. (2022) · Sensors · doi:10.3390/s22041476 · Cited by 625 · see citing works

Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals

Fan, H., Zhang, X., Xu, Y., Fang, J., Zhang, S., Zhao, X., & Yu, J. (2024) · Information Fusion · doi:10.1016/j.inffus.2023.102161 · Cited by 137 · see citing works

A Survey of Video Surveillance Systems in Smart City

Myagmar-Ochir, Y., & Kim, W. (2023) · Electronics · doi:10.3390/electronics12173567 · Cited by 134 · see citing works

A systematic review of digital transformation technologies in museum exhibition

Li, J., Zheng, X., Watanabe, I., & Ochiai, Y. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108407 · Cited by 136 · see citing works

Clutter rejection limitations from ambiguous range clutter

Reilly, J. P. (2002) · doi:10.1109/radar.1990.201161 · Cited by 5 · see citing works

Review of visual clutter and its effects on pilot performance: A new look at past research

Doyon-Poulin, P., Robert, J., & Ouellette, B. (2012) · IEEE/AIAA Digital Avionics Systems Conference (DASC) · doi:10.1109/dasc.2012.6382290 · Cited by 9 · see citing works

Evidence of Clutter Avoidance in Complex Scenes

Lohrenz, M. C., & Beck, M. R. (2010) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193121005401811 · Cited by 9 · see citing works

Method for Estimating Representative Values of Clutter Heights for Recommendation ITU-R P.452

Fujii, H., & Sato, A. (2009) · doi:10.1109/vetecf.2009.5379066 · Cited by 3 · see citing works

Stationary clutter rejection in echocardiography

Zwirn, G., & AKSELROD, S. (2005) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2005.08.012 · Cited by 28 · see citing works