[go: up one dir, main page]

Bügler et al., 2017 - Google Patents

Fusion of photogrammetry and video analysis for productivity assessment of earthwork processes

Bügler et al., 2017

View PDF
Document ID
3723461652770850555
Author
Bügler M
Borrmann A
Ogunmakin G
Vela P
Teizer J
Publication year
Publication venue
Computer‐Aided Civil and Infrastructure Engineering

External Links

Snippet

The high complexity of modern large‐scale construction projects leads their schedules to be sensitive to delays. At underground construction sites, the earthwork processes are vital, as most of the following tasks depend on them. This article presents a method for estimating the …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20—Image acquisition
    • G06K9/32—Aligning or centering of the image pick-up or image-field
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details

Similar Documents

Publication Publication Date Title
Bügler et al. Fusion of photogrammetry and video analysis for productivity assessment of earthwork processes
Kim et al. Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles
Sherafat et al. Automated methods for activity recognition of construction workers and equipment: State-of-the-art review
Yang et al. Vision-based tower crane tracking for understanding construction activity
Yang et al. Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future
Chen et al. Automated excavators activity recognition and productivity analysis from construction site surveillance videos
Zhu et al. Integrated detection and tracking of workforce and equipment from construction jobsite videos
Xiao et al. Vision-based method integrating deep learning detection for tracking multiple construction machines
Zhu et al. Visual tracking of construction jobsite workforce and equipment with particle filtering
Kim et al. Analyzing context and productivity of tunnel earthmoving processes using imaging and simulation
Kim et al. Detecting construction equipment using a region-based fully convolutional network and transfer learning
Soltani et al. Framework for location data fusion and pose estimation of excavators using stereo vision
Rezazadeh Azar et al. Server-customer interaction tracker: computer vision–based system to estimate dirt-loading cycles
Teizer Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites
Memarzadeh et al. Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors
Cai et al. Two-step long short-term memory method for identifying construction activities through positional and attentional cues
US9251416B2 (en) Time scale adaptive motion detection
Teizer et al. Personnel tracking on construction sites using video cameras
Chi et al. Automated object identification using optical video cameras on construction sites
Luo et al. Construction machine pose prediction considering historical motions and activity attributes using gated recurrent unit (GRU)
Kim et al. Adaptive detector and tracker on construction sites using functional integration and online learning
Chen et al. Critical review and road map of automated methods for earthmoving equipment productivity monitoring
Talele et al. Detection of real time objects using TensorFlow and OpenCV
Smith et al. Advanced Computing Strategies for Engineering: 25th EG-ICE International Workshop 2018, Lausanne, Switzerland, June 10-13, 2018, Proceedings, Part I
Kim Visual analytics for operation-level construction monitoring and documentation: State-of-the-art technologies, research challenges, and future directions