{"id":"https://openalex.org/W2954384621","doi":"https://doi.org/10.1186/s13640-019-0472-1","title":"Vision-based detection of container lock holes using a modified local sliding window method","display_name":"Vision-based detection of container lock holes using a modified local sliding window method","publication_year":2019,"publication_date":"2019-06-26","ids":{"openalex":"https://openalex.org/W2954384621","doi":"https://doi.org/10.1186/s13640-019-0472-1","mag":"2954384621"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-019-0472-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0472-1","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0472-1.pdf","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0472-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026338785","display_name":"Yunfeng Diao","orcid":"https://orcid.org/0000-0002-9455-1510"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunfeng Diao","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752414","display_name":"Wenming Cheng","orcid":"https://orcid.org/0000-0002-9574-9481"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Cheng","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Run Du","orcid":"https://orcid.org/0000-0003-3730-5687"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Run Du","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3730-5687","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101752146","display_name":"Yaqing Wang","orcid":"https://orcid.org/0000-0002-2836-4530"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yaqing Wang","raw_affiliation_strings":["TStone Robotics Institute, The Chinese University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TStone Robotics Institute, The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716141","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-4345-454X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026338785"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.5438,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.711308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9878000020980835,"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"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9878000020980835,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9674999713897705,"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/T11223","display_name":"Maritime Ports and Logistics","score":0.9438999891281128,"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/container","display_name":"Container (type theory)","score":0.895011305809021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6991171836853027},{"id":"https://openalex.org/keywords/lock","display_name":"Lock (firearm)","score":0.6765288710594177},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6395124793052673},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5425089597702026},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5405252575874329},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5206203460693359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49904370307922363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.460396945476532},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4433770477771759},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.41356411576271057},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33984774351119995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3397429287433624},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19556975364685059},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14509961009025574}],"concepts":[{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.895011305809021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6991171836853027},{"id":"https://openalex.org/C174839445","wikidata":"https://www.wikidata.org/wiki/Q1134386","display_name":"Lock (firearm)","level":2,"score":0.6765288710594177},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6395124793052673},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5425089597702026},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5405252575874329},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5206203460693359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49904370307922363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.460396945476532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4433770477771759},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.41356411576271057},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33984774351119995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3397429287433624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19556975364685059},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14509961009025574},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-019-0472-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0472-1","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0472-1.pdf","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:08aefc7b77e847c89d075bf07de3152d","is_oa":true,"landing_page_url":"https://doaj.org/article/08aefc7b77e847c89d075bf07de3152d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-8 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-019-0472-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0472-1","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0472-1.pdf","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316125","display_name":"China Railway","ror":"https://ror.org/044wv3489"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954384621.pdf","grobid_xml":"https://content.openalex.org/works/W2954384621.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W182369582","https://openalex.org/W1557385043","https://openalex.org/W1561442812","https://openalex.org/W1972138032","https://openalex.org/W1972431503","https://openalex.org/W2024909097","https://openalex.org/W2124583192","https://openalex.org/W2127218421","https://openalex.org/W2133059825","https://openalex.org/W2144562310","https://openalex.org/W2145023731","https://openalex.org/W2161969291","https://openalex.org/W2172000360","https://openalex.org/W2387865058","https://openalex.org/W2414892090","https://openalex.org/W2769333087","https://openalex.org/W4292003313","https://openalex.org/W6606448962","https://openalex.org/W6610860930"],"related_works":["https://openalex.org/W2112097167","https://openalex.org/W4206032922","https://openalex.org/W2142173439","https://openalex.org/W2400994047","https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W1964725559","https://openalex.org/W3109748140","https://openalex.org/W2433492094"],"abstract_inverted_index":{"Container":[0],"yards":[1],"have":[2,21],"been":[3,22],"facing":[4],"the":[5,14,75,79,82,97,103,118,149,155],"increase":[6],"of":[7,16,78,105,127],"freight":[8],"volume.":[9],"In":[10],"order":[11],"to":[12,36,47,63,95],"improve":[13],"efficiency":[15],"container":[17,29,38,68,80,84],"handling,":[18],"automatic":[19],"stations":[20],"established":[23],"in":[24],"many":[25],"terminals.":[26],"However,":[27],"current":[28],"handling":[30],"still":[31],"needs":[32],"a":[33,58,89,111],"manual":[34],"operation":[35],"locate":[37,67],"lock":[39,69],"holes.":[40,70],"Hence,":[41],"it":[42],"is":[43],"inefficient":[44],"and":[45,66,86,136,141,151],"potential":[46],"risk":[48],"workers\u2019":[49],"health":[50],"under":[51,133],"long":[52],"working":[53],"hours.":[54],"This":[55],"paper":[56],"presented":[57,88],"hybrid":[59],"machine":[60,115],"vision":[61],"method":[62,73],"automatically":[64],"recognize":[65],"The":[71,100,144],"proposed":[72],"extracted":[74],"top":[76],"area":[77],"from":[81],"multiple":[83],"areas,":[85],"then":[87],"new":[90],"modified":[91],"local":[92],"sliding":[93],"window":[94],"detect":[96],"keyhole":[98],"region.":[99],"algorithm":[101],"learned":[102],"histograms":[104],"oriented":[106],"gradients":[107],"(HOG)":[108],"features":[109],"using":[110,122],"multi-class":[112],"support":[113],"vector":[114],"(SVM).":[116],"Finally,":[117],"holes":[119],"were":[120],"located":[121],"direct":[123],"least":[124],"square":[125],"fitting":[126],"ellipses.":[128],"We":[129],"carried":[130],"an":[131],"experiment":[132],"various":[134],"weather":[135],"light":[137],"conditions":[138],"including":[139],"nights":[140],"rainy":[142],"days.":[143],"results":[145],"showed":[146],"that":[147],"both":[148],"recognition":[150],"location":[152],"accuracy":[153],"outperformed":[154],"state-of-the-art":[156],"results.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
