{"id":"https://openalex.org/W2790012492","doi":"https://doi.org/10.5220/0006541501530160","title":"Ship Detection in Harbour Surveillance based on Large-Scale Data and CNNs","display_name":"Ship Detection in Harbour Surveillance based on Large-Scale Data and CNNs","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2790012492","doi":"https://doi.org/10.5220/0006541501530160","mag":"2790012492"},"language":"en","primary_location":{"id":"doi:10.5220/0006541501530160","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006541501530160","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0006541501530160","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065396692","display_name":"Matthijs H. Zwemer","orcid":"https://orcid.org/0000-0003-0835-202X"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Matthijs H. Zwemer","raw_affiliation_strings":["Eindhoven University of Technology and ViNotion B.V., Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology and ViNotion B.V., Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013964928","display_name":"Rob G. J. Wijnhoven","orcid":"https://orcid.org/0000-0001-8837-3976"},"institutions":[{"id":"https://openalex.org/I4210094462","display_name":"Vinitex Laboratory Systems (Netherlands)","ror":"https://ror.org/00h4bvr24","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210094462"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Rob G. J. Wijnhoven","raw_affiliation_strings":["ViNotion B.V., Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ViNotion B.V., Netherlands","institution_ids":["https://openalex.org/I4210094462"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029008213","display_name":"Peter H. N. de With","orcid":"https://orcid.org/0000-0002-7639-7716"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter H. N. de With","raw_affiliation_strings":["Eindhoven University of Technology, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"153","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/harbour","display_name":"Harbour","score":0.8759187459945679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6385502815246582},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6258720755577087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3757997751235962},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36187949776649475},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13276085257530212},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11264267563819885}],"concepts":[{"id":"https://openalex.org/C2777318892","wikidata":"https://www.wikidata.org/wiki/Q2544816","display_name":"Harbour","level":2,"score":0.8759187459945679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6385502815246582},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6258720755577087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3757997751235962},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36187949776649475},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13276085257530212},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11264267563819885},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.5220/0006541501530160","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006541501530160","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/02422690-d72d-4419-a393-11ebbe90ead9","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/02422690-d72d-4419-a393-11ebbe90ead9","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Zwemer, M H, Wijnhoven, R G J & de With, P H N 2018, Ship detection in harbour surveillance based on large-Scale data and CNNs. in F Imai, A Tremeau & J Braz (eds), VISIGRAPP 2018. vol. 5, SciTePress Digital Library, pp. 153-160, 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), Funchal, Madeira, Portugal, 27/01/18. https://doi.org/10.5220/0006541501530160","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.tue.nl:publications/02422690-d72d-4419-a393-11ebbe90ead9","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85047789740&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zwemer, M H, Wijnhoven, R G J & de With, P H N 2018, Ship detection in harbour surveillance based on large-Scale data and CNNs. in F Imai, A Tremeau & J Braz (eds), VISIGRAPP 2018. vol. 5, SciTePress Digital Library, pp. 153-160, 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), Funchal, Madeira, Portugal, 27/01/18. https://doi.org/10.5220/0006541501530160","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:tue:oai:pure.tue.nl:publications/02422690-d72d-4419-a393-11ebbe90ead9","is_oa":true,"landing_page_url":"https://research.tue.nl/nl/publications/02422690-d72d-4419-a393-11ebbe90ead9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"VISIGRAPP 2018, 5, 153 - 160","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":{"id":"doi:10.5220/0006541501530160","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006541501530160","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1931770430","https://openalex.org/W1975157055","https://openalex.org/W2102605133","https://openalex.org/W2130103520","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2139939267","https://openalex.org/W1974511032","https://openalex.org/W2003192844","https://openalex.org/W2099766519","https://openalex.org/W2166260127","https://openalex.org/W2387409199","https://openalex.org/W2040547031","https://openalex.org/W339441670","https://openalex.org/W2392954390"],"abstract_inverted_index":{"This":[0,72],"paper":[1],"aims":[2],"at":[3],"developing":[4],"a":[5,34,55,96,135,166,175],"real-time":[6],"vessel":[7],"detection":[8,81,98,123],"and":[9,76,88],"tracking":[10],"system":[11,151,163],"using":[12],"surveillance":[13,137],"cameras":[14],"in":[15,41],"harbours":[16],"with":[17],"the":[18,22,65,80,106,110,115,131,143,150,162,180],"purpose":[19],"to":[20,78,142,154,169,174],"improve":[21],"current":[23],"Vessel":[24],"Tracking":[25],"Systems":[26],"(VTS)":[27],"performance.":[28],"To":[29],"this":[30],"end,":[31],"we":[32],"introduce":[33],"novel":[35,136],"maritime":[36],"dataset,":[37],"containing":[38],"70,513":[39],"ships":[40],"48,966":[42],"images,":[43],"covering":[44],"10":[45],"camera":[46],"viewpoints":[47],"indicating":[48],"real-life":[49],"ship":[50,86],"traffic":[51],"situations.":[52],"For":[53],"detection,":[54,149,172],"Convolutional":[56],"Neural":[57],"Network":[58],"(CNN)":[59],"detector":[60,73,94,118],"is":[61,74,101,127,152,164],"trained,":[62],"based":[63,102],"on":[64,103,120],"Single":[66],"Shot":[67],"Detector":[68],"(SSD)":[69],"from":[70],"literature.":[71],"modified":[75,92],"enhanced":[77],"support":[79],"of":[82,85,109,114,134,146,159],"extreme":[83],"variations":[84],"sizes":[87],"aspect":[89],"ratios.":[90],"The":[91,112],"SSD":[93,117],"offers":[95],"high":[97],"performance,":[99],"which":[100],"explicitly":[104],"exploiting":[105],"aspect-ratio":[107],"characteristics":[108],"dataset.":[111],"performance":[113,145],"original":[116],"trained":[119],"generic":[121],"object":[122],"datasets":[124],"(including":[125],"ships)":[126],"significantly":[128],"lower,":[129],"showing":[130],"added":[132],"value":[133],"dataset":[138],"for":[139,179],"ships.":[140],"Due":[141],"robust":[144],"over":[147],"90%":[148],"able":[153],"accurately":[155],"detect":[156],"all":[157],"types":[158],"vessels.":[160],"Hence,":[161],"considered":[165],"suitable":[167],"complement":[168],"conventional":[170],"radar":[171],"leading":[173],"better":[176],"operational":[177],"picture":[178],"harbour":[181],"authorities.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
