{"id":"https://openalex.org/W2772680648","doi":"https://doi.org/10.1109/icsipa.2017.8120647","title":"A vision-based method for the detection of missing rail fasteners","display_name":"A vision-based method for the detection of missing rail fasteners","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2772680648","doi":"https://doi.org/10.1109/icsipa.2017.8120647","mag":"2772680648"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa.2017.8120647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2017.8120647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014516218","display_name":"Thanawit Prasongpongchai","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Thanawit Prasongpongchai","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Engineering Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007614076","display_name":"Thanarat H. Chalidabhongse","orcid":"https://orcid.org/0000-0002-7249-6135"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Thanarat H. Chalidabhongse","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Engineering Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074173488","display_name":"Sangsan Leelhapantu","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sangsan Leelhapantu","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Engineering Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6297750473022461},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5487790703773499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5453367829322815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6297750473022461},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5487790703773499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5453367829322815}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsipa.2017.8120647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2017.8120647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.550000011920929,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1943683673","https://openalex.org/W2020664100","https://openalex.org/W2040483045","https://openalex.org/W2048281124","https://openalex.org/W2085261163","https://openalex.org/W2112438422","https://openalex.org/W2125188192","https://openalex.org/W2133059825","https://openalex.org/W2137226992","https://openalex.org/W2149904433","https://openalex.org/W2154683974","https://openalex.org/W2161969291","https://openalex.org/W2166227789","https://openalex.org/W2406523001","https://openalex.org/W2539604081","https://openalex.org/W6680532697"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Visual":[0],"inspection":[1],"of":[2,22,54,126,138,143,157,174],"rail":[3,8,42,93],"fasteners":[4,23,43,94,108],"is":[5,24],"crucial":[6],"to":[7,28,38,91],"safety.":[9],"However,":[10],"the":[11,20,62,65,74,79,82,85,135,155,163,172,175],"traditional":[12],"method":[13,37,118],"in":[14,105,128],"which":[15,106],"railway":[16],"staffs":[17],"manually":[18],"inspect":[19],"conditions":[21],"time-consuming":[25],"and":[26,64,73,98,121,140,162],"prone":[27],"human":[29],"error.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34],"present":[35],"a":[36,48,124],"automatically":[39],"detect":[40,92],"missing":[41,114,147],"from":[44,61,130],"top-view":[45],"images.":[46],"Using":[47],"top-down":[49],"approach,":[50],"coarse":[51],"bounding":[52,86],"boxes":[53,87],"potential":[55],"fastener":[56,148],"areas":[57],"are":[58,88,109,111],"first":[59],"located":[60],"track":[63],"tie":[66],"regions":[67],"with":[68,78,100,134],"an":[69],"edge":[70],"density":[71],"map":[72],"RANSAC":[75],"algorithm.":[76],"Preprocessed":[77],"guided":[80,158],"filter,":[81,159],"region":[83],"within":[84],"then":[89],"scanned":[90],"using":[95],"PHOG":[96],"features":[97],"e-SVR":[99],"RBF":[101,160],"kernel.":[102],"The":[103,116,150],"boxes,":[104],"no":[107],"found,":[110],"reported":[112],"as":[113],"fasteners.":[115],"proposed":[117],"was":[119],"tested":[120],"has":[122],"shown":[123],"degree":[125],"robustness":[127],"scenes":[129],"complex":[131],"real-world":[132],"environments":[133],"100%":[136],"probability":[137,142],"detection":[139],"3.47%":[141],"false":[144],"alarm":[145],"for":[146,167],"detection.":[149],"results":[151],"also":[152],"indicate":[153],"that":[154],"use":[156],"kernel":[161],"image":[164],"pyramid":[165],"technique":[166],"feature":[168],"extraction":[169],"significantly":[170],"improves":[171],"performance":[173],"classifier.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
