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Train bogie part recognition with multi-object multi-template matching adaptive algorithm

  • Published:2020-06 Issue:5 Volume:32 Page:608-617
  • ISSN:1319-1578
  • Container-title:Journal of King Saud University - Computer and Information Sciences
  • language:en
  • Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Sasikala N.,Kishore P.V.V.

Publisher

Elsevier BV

Subject

General Computer Science

Reference37 articles.

1. Enhancement of template-based method for overlapping rubber tree leaf identification;Anjomshoae;Comput. Electron. Agric.,2016

2. Banerji, Ashutosh Kumar., 2005. Railways and Rolling Stock Engineers-Challenges Ahead. Technical Note.

3. Multi-template matching algorithm for cucumber recognition in natural environment;Bao;Comput. Electron. Agric.,2016

4. KNOEMA-A knowledge platform;Bougay;Global J. Enterp. Inf. Syst.,2014

5. Briechle, Kai., Hanebeck, Uwe D., 2001. Template matching using fast normalized cross correlation. In: Aerospace/Defense Sensing, Simulation, and Controls, pp. 95–102. International Society for Optics and Photonics.

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1. Deep learning based identification and tracking of railway bogie parts;Alexandria Engineering Journal;2024-11

2. Enhancing Steel Melting Shop Operations by Object Detection Using Template Matching Algorithm;2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA);2023-09-29

3. Design and Simulation of a Novel Digital Technology for Assembly Operations: A Case Study of Railcar Bogie Application;Soft Computing: Theories and Applications;2023

4. Application of the object model when designing devices for improvement of performance of locomotives;PROCEEDINGS INTERNATIONAL CONFERENCE “PROBLEMS OF APPLIED MECHANICS”;2021

5. Adaptive motion estimation and sequential outline separation based moving object detection in video surveillance system;Microprocessors and Microsystems;2020-07
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