1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/45CUKQ8 |
Repository | sid.inpe.br/sibgrapi/2021/09.06.21.01 |
Last Update | 2021:10.08.22.36.53 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2021/09.06.21.01.28 |
Metadata Last Update | 2022:06.14.00.00.31 (UTC) administrator |
DOI | 10.1109/SIBGRAPI54419.2021.00044 |
Citation Key | JerripothulaAnsaNijh:2021:ViSoTr |
Title | A Vision-based Solution for Track Misalignment Detection |
Format | On-line |
Year | 2021 |
Access Date | 2024, Apr. 23 |
Number of Files | 1 |
Size | 1619 KiB |
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2. Context | |
Author | 1 Jerripothula, Koteswar Rao 2 Ansari, Sharik Ali 3 Nijhawan, Rahul |
Affiliation | 1 Indraprastha Institute of Information Technology Delhi (IIIT-Delhi) 2 College of Engineering Roorkee (COER) 3 University of Petroleum and Energy Studies (UPES) |
Editor | Paiva, Afonso Menotti, David Baranoski, Gladimir V. G. Proença, Hugo Pedro Junior, Antonio Lopes Apolinario Papa, João Paulo Pagliosa, Paulo dos Santos, Thiago Oliveira e Sá, Asla Medeiros da Silveira, Thiago Lopes Trugillo Brazil, Emilio Vital Ponti, Moacir A. Fernandes, Leandro A. F. Avila, Sandra |
e-Mail Address | koteswar@iiitd.ac.in |
Conference Name | Conference on Graphics, Patterns and Images, 34 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil (virtual) |
Date | 18-22 Oct. 2021 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2021-10-08 22:36:54 :: koteswar@iiitd.ac.in -> administrator :: 2021 2022-03-02 00:54:16 :: administrator -> menottid@gmail.com :: 2021 2022-03-02 13:26:34 :: menottid@gmail.com -> administrator :: 2021 2022-06-14 00:00:31 :: administrator -> :: 2021 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | railway transfer learning VGG Inception |
Abstract | Derailment is one of the most frequent ways railway accidents happen. Track defects such as buckling and hogging that cause misalignment of tracks can easily lead to derailments. While railway tracks get laterally misaligned due to buckling, vertical misalignments can result from hogging. Such misalignments are visibly recognizable, and we can even automate recognition using data-driven models. This paper discusses how we build such data-driven models. There are no public datasets available to build such models; therefore, we introduce TMD (Track Misalignment Detection) dataset. It consists of misaligned and normal track images. The problem we try to solve here is essentially a binary image classification problem, which we solve by exploring the feature extraction approach to transfer learning (TL). In this approach, we employ a pre-trained network to extract rich features, which are then supplied with annotations to a learning algorithm for building a candidate TL model. Several pre-trained networks and learning algorithms exist, resulting in multiple candidate TL models; therefore, it becomes essential to identify effective ones. We propose an evaluation criterion to decide which are effective ones using our proposed bias-variance analysis. Our experiments demonstrate that the candidate TL models selected based on our proposed evaluation criterion perform better than other candidate TL models while testing. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2021 > A Vision-based Solution... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > A Vision-based Solution... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/45CUKQ8 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/45CUKQ8 |
Language | en |
Target File | SIBGRAPI_Railway (3).pdf |
User Group | koteswar@iiitd.ac.in |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/45PQ3RS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2021/11.12.11.46 5 sid.inpe.br/banon/2001/03.30.15.38.24 2 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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