{"id":"https://openalex.org/W1616567818","doi":"https://doi.org/10.1109/dicta.2015.7371273","title":"Improving Near-Miss Event Detection Rate at Railway Level Crossings","display_name":"Improving Near-Miss Event Detection Rate at Railway Level Crossings","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W1616567818","doi":"https://doi.org/10.1109/dicta.2015.7371273","mag":"1616567818"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2015.7371273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},"type":"article","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/A5045703442","display_name":"Sina Aminmansour","orcid":null},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Sina Aminmansour","raw_affiliation_strings":["School of Electrical Engineering and Computer Science","Sch. of Electr. Eng. & Comput. Sci., Queensland Univ. of Technol., Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science","institution_ids":[]},{"raw_affiliation_string":"Sch. of Electr. Eng. & Comput. Sci., Queensland Univ. of Technol., Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078908478","display_name":"Fr\u00e9d\u00e9ric Maire","orcid":"https://orcid.org/0000-0002-6212-7651"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Frederic Maire","raw_affiliation_strings":["Queensland University of Technology Queensland, Australia","Sch. of Electr. Eng. & Comput. Sci., Queensland Univ. of Technol., Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"Queensland University of Technology Queensland, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"Sch. of Electr. Eng. & Comput. Sci., Queensland Univ. of Technol., Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004337374","display_name":"Gr\u00e9goire S. Larue","orcid":"https://orcid.org/0000-0001-8564-9084"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gregoire S. Larue","raw_affiliation_strings":["Centre of Accident Research and Road Safety - Queensland","Centre of Accident Res. & Road Safety, Queensland Univ. of Technol., Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"Centre of Accident Research and Road Safety - Queensland","institution_ids":[]},{"raw_affiliation_string":"Centre of Accident Res. & Road Safety, Queensland Univ. of Technol., Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015930618","display_name":"Christian Wullems","orcid":null},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Christian Wullems","raw_affiliation_strings":["Queensland University of Technology Queensland, Australia","Centre of Accident Res. & Road Safety, Queensland Univ. of Technol., Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"Queensland University of Technology Queensland, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"Centre of Accident Res. & Road Safety, Queensland Univ. of Technol., Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045703442"],"corresponding_institution_ids":["https://openalex.org/I160993911"],"apc_list":null,"apc_paid":null,"fwci":1.7793,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88200374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.6140819191932678},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5372862815856934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140819191932678},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5372862815856934},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2015.7371273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.qut.edu.au:87371","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402607","display_name":"QUT ePrints (Queensland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I160993911","host_organization_name":"Queensland University of Technology","host_organization_lineage":["https://openalex.org/I160993911"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"Chapter in Book, Report or Conference volume"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W2029329673","https://openalex.org/W2031489346","https://openalex.org/W2073459066","https://openalex.org/W2080247076","https://openalex.org/W2102605133","https://openalex.org/W2104446196","https://openalex.org/W2117539524","https://openalex.org/W2118246710","https://openalex.org/W2135222644","https://openalex.org/W2146753331","https://openalex.org/W2155893237","https://openalex.org/W2161381512","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W6675396308","https://openalex.org/W6681476607","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Even":[0],"though":[1],"crashes":[2],"between":[3],"trains":[4,67],"and":[5,36,60,75,87,103,134,146],"road":[6],"users":[7],"are":[8,16,125],"rare":[9],"events":[10,29],"at":[11,30,78],"railway":[12,26,158],"level":[13,31,45,79],"crossings,":[14],"they":[15],"one":[17],"of":[18,165,166],"the":[19,24,122,141,162],"major":[20],"safety":[21],"concerns":[22],"for":[23,57,68,91,100,111],"Australian":[25],"industry.":[27],"Nearmiss":[28],"crossings":[32,80],"occur":[33],"more":[34,39],"frequently,":[35],"can":[37,175],"provide":[38],"information":[40],"about":[41],"factors":[42],"leading":[43],"to":[44,130],"crossing":[46],"incidents.":[47],"In":[48],"this":[49],"paper":[50],"we":[51,81,104,120],"introduce":[52],"a":[53,96,106,157],"video":[54],"analytic":[55],"approach":[56],"automatically":[58],"detecting":[59,69,92],"localizing":[61],"vehicles":[62,77,117,128],"from":[63,84],"cameras":[64],"mounted":[65],"on":[66,156],"near-":[70],"miss":[71],"events.":[72],"To":[73,115],"detect":[74],"localize":[76,116],"extract":[82],"patches":[83,123],"an":[85],"image":[86],"classify":[88],"each":[89,113],"patch":[90],"vehicles.":[93],"We":[94,136],"developed":[95],"region":[97],"proposals":[98],"algorithm":[99],"generating":[101],"patches,":[102],"use":[105],"Convolutional":[107],"Neural":[108],"Network":[109],"(CNN)":[110],"classifying":[112],"patch.":[114],"in":[118],"images":[119],"combine":[121],"that":[124,161],"classified":[126],"as":[127],"according":[129],"their":[131],"CNN":[132,149],"scores":[133],"positions.":[135],"compared":[137],"our":[138,167],"system":[139,169],"with":[140,148,178],"Deformable":[142],"Part":[143],"Models":[144],"(DPM)":[145],"Regions":[147],"features":[150],"(R-CNN)":[151],"object":[152],"detectors.":[153,182],"Experimental":[154],"results":[155],"dataset":[159],"show":[160],"recall":[163],"rate":[164],"proposed":[168],"is":[170],"29%":[171],"higher":[172],"than":[173],"what":[174],"be":[176],"achieved":[177],"DPM":[179],"or":[180],"R-CNN":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"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},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
