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3D tracking of multiple onsite workers based on stereo vision

https://doi.org/10.1016/j.autcon.2018.11.017
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.aei.2010.06.008openalex-snapshot
Tracking multiple workers on construction sites using video cameras
inferredcites →https://doi.org/10.1016/j.aei.2015.01.011openalex-snapshot
Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future
inferredcites →https://doi.org/10.1016/j.autcon.2011.03.007openalex-snapshot
Comparative study of vision tracking methods for tracking of construction site resources
inferredcites →https://doi.org/10.1016/j.autcon.2011.05.001openalex-snapshot
Performance evaluation of ultra wideband technology for construction resource location tracking in harsh environments
inferredcites →https://doi.org/10.1016/j.autcon.2011.05.005openalex-snapshot
An object recognition, tracking, and contextual reasoning-based video interpretation method for rapid productivity analysis of construction operations
inferredcites →https://doi.org/10.1016/j.autcon.2012.06.001openalex-snapshot
Construction worker detection in video frames for initializing vision trackers
inferredcites →https://doi.org/10.1016/j.autcon.2012.12.002openalex-snapshot
Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors
inferredcites →https://doi.org/10.1016/j.autcon.2015.02.004openalex-snapshot
A labor consumption measurement system based on real-time tracking technology for dam construction site
inferredcites →https://doi.org/10.1016/j.autcon.2016.03.008openalex-snapshot
Heat map generation for predictive safety planning: Preventing struck-by and near miss interactions between workers-on-foot and construction equipment
inferredcites →https://doi.org/10.1016/j.autcon.2016.08.039openalex-snapshot
Continuous localization of construction workers via integration of detection and tracking
inferredcites →https://doi.org/10.1016/j.autcon.2017.08.023openalex-snapshot
Identification of workstations in earthwork operations from vehicle GPS data
inferredcites →https://doi.org/10.1017/cbo9780511811685openalex-snapshot
Multiple View Geometry in Computer Vision
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0000652openalex-snapshot
Server-Customer Interaction Tracker: Computer Vision–Based System to Estimate Dirt-Loading Cycles
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0000889openalex-snapshot
Enhanced Boundary Condition–Based Approach for Construction Location Sensing Using RFID and RTK GPS
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0000974openalex-snapshot
Hardhat-Wearing Detection for Enhancing On-Site Safety of Construction Workers
inferredcites →https://doi.org/10.1061/(asce)co.1943-7862.0001432openalex-snapshot
RFID-Aided Tracking System to Improve Work Efficiency of Scaffold Supplier: Stock Management in Australasian Supply Chain
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000168openalex-snapshot
Three-Dimensional Tracking of Construction Resources Using an On-Site Camera System
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000179openalex-snapshot
Automated Visual Recognition of Dump Trucks in Construction Videos
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000423openalex-snapshot
Automated Brick Counting for Façade Construction Progress Estimation
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000507openalex-snapshot
Construction Equipment Identification Using Marker-Based Recognition and an Active Zoom Camera
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000756openalex-snapshot
Recognizing Diverse Construction Activities in Site Images via Relevance Networks of Construction-Related Objects Detected by Convolutional Neural Networks
inferredcites →https://doi.org/10.1061/9780784412329.102openalex-snapshot
RFID+ for Tracking Earthmoving Operations
inferredcites →https://doi.org/10.1061/9780784412343.0053openalex-snapshot
Enhancement of Construction Equipment Detection in Video Frames by Combining with Tracking
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/iros.2013.6696418openalex-snapshot
Multi-human tracking using high-visibility clothing for industrial safety
inferredcites →https://doi.org/10.1109/iros19467.2012openalex-snapshot
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1145/358669.358692openalex-snapshot
Random sample consensus
inferredcites →https://doi.org/10.1155/2008/246309openalex-snapshot
Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
inferredcites →https://doi.org/10.3141/2460-07openalex-snapshot
Full-Body Occlusion Handling and Density Analysis in Traffic Video-Surveillance Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/j.autcon.2019.102886openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103121openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103308openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2021.104099openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104148openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104491openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104535openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2023.104744openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105443openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105771openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106589openalex-snapshot
Automated reliability-based multi-camera strategy for excavator tracking under dynamic occlusion using deep learning with instance segmentation
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.107057openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cirp.2022.04.023openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.conbuildmat.2021.123268openalex-snapshot
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RETRACTED: Vision-based tracking method of nighttime construction workers by integrating YOLOv5 and Deepsort
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RETRACTED: Vision-based tracking method of nighttime construction workers by integrating YOLOv5 and Deepsort (REDIRECT)
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An end-to-end stereo matching algorithm based on improved convolutional neural network
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