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Optical flow techniques for estimation of camera motion parameters in sewer closed circuit television inspection videos

  • Published:2014-03 Issue: Volume:38 Page:39-45
  • ISSN:0926-5805
  • Container-title:Automation in Construction
  • language:en
  • Short-container-title:Automation in Construction

Author:

Halfawy Mahmoud R.,Hengmeechai Jantira

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference18 articles.

1. The computation of optical flow;Beauchemin;ACM Comput. Surv.,1995

2. Pyramidal implementation of the Lucas Kanade feature tracker: Description of the algorithm;Bouguet,2000

3. Intel's Computer Vision Library: Applications in Calibration, Stereo, Segmentation, Tracking, Gesture, Face and Object Recognition;Bradski,2000

4. Assessment of a camera pose algorithm using images of brick sewers;Cooper;Autom. Constr.,2001

5. Technical Guide- PLUS 4012: Visual inspection of Sewer Pipe;CSA, Canadian Standards Association,2010

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1. Attention‐optimized 3D segmentation and reconstruction system for sewer pipelines employing multi‐view images;Computer-Aided Civil and Infrastructure Engineering;2024-06-03

2. Unsupervised Stationary Flow Filter in CCTV Pipeline Inspection Videos;2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA);2024-02-01

3. Computer Vision Applications In Construction And Asset Management Phases: A Literature Review;Journal of Information Technology in Construction;2023-04-03

4. Information Mining from Images of Pipeline Based on Knowledge Representation and Reasoning;Advanced Data Mining and Applications;2022

5. Automated Vision Systems for Condition Assessment of Sewer and Water Pipelines;IEEE Transactions on Automation Science and Engineering;2021-10
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