{"id":"https://openalex.org/W2919015029","doi":"https://doi.org/10.1109/iros40897.2019.8967556","title":"Unsupervised Traffic Accident Detection in First-Person Videos","display_name":"Unsupervised Traffic Accident Detection in First-Person Videos","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2919015029","doi":"https://doi.org/10.1109/iros40897.2019.8967556","mag":"2919015029"},"language":"en","primary_location":{"id":"doi:10.1109/iros40897.2019.8967556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros40897.2019.8967556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1903.00618","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042385997","display_name":"Yu Yao","orcid":"https://orcid.org/0000-0002-2329-2355"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Yao","raw_affiliation_strings":["Robotics Institute, University of Michigan,Ann Arbor,MI,USA,48109","\u2020University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Institute, University of Michigan,Ann Arbor,MI,USA,48109","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"\u2020University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078029945","display_name":"Mingze Xu","orcid":"https://orcid.org/0000-0002-0671-4122"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingze Xu","raw_affiliation_strings":["Indiana University,School of Informatics, Computing, and Engineering,Bloomington,IN,USA,47408","\u2020University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University,School of Informatics, Computing, and Engineering,Bloomington,IN,USA,47408","institution_ids":["https://openalex.org/I4210119109"]},{"raw_affiliation_string":"\u2020University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375397","display_name":"Yuchen Wang","orcid":"https://orcid.org/0000-0002-1077-5294"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]},{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuchen Wang","raw_affiliation_strings":["Indiana University,School of Informatics, Computing, and Engineering,Bloomington,IN,USA,47408","Indiana University*"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University,School of Informatics, Computing, and Engineering,Bloomington,IN,USA,47408","institution_ids":["https://openalex.org/I4210119109"]},{"raw_affiliation_string":"Indiana University*","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003268415","display_name":"David Crandall","orcid":"https://orcid.org/0000-0002-5827-5344"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]},{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Crandall","raw_affiliation_strings":["Indiana University,School of Informatics, Computing, and Engineering,Bloomington,IN,USA,47408","Indiana University*"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University,School of Informatics, Computing, and Engineering,Bloomington,IN,USA,47408","institution_ids":["https://openalex.org/I4210119109"]},{"raw_affiliation_string":"Indiana University*","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000130413","display_name":"Ella Atkins","orcid":"https://orcid.org/0000-0003-2132-6256"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ella M. Atkins","raw_affiliation_strings":["Robotics Institute, University of Michigan,Ann Arbor,MI,USA,48109","Indiana University*"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Institute, University of Michigan,Ann Arbor,MI,USA,48109","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Indiana University*","institution_ids":["https://openalex.org/I592451"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"273","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9955000281333923,"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/anomaly-detection","display_name":"Anomaly detection","score":0.794468879699707},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.7649291753768921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7586627006530762},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6634109020233154},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6414362192153931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5961514711380005},{"id":"https://openalex.org/keywords/dashboard","display_name":"Dashboard","score":0.5164965987205505},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.4326927661895752},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4166921079158783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38861918449401855},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3275766968727112},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11680755019187927},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.09006902575492859},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.08547571301460266}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.794468879699707},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.7649291753768921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7586627006530762},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6634109020233154},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6414362192153931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5961514711380005},{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.5164965987205505},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.4326927661895752},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4166921079158783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38861918449401855},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3275766968727112},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11680755019187927},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.09006902575492859},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.08547571301460266},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iros40897.2019.8967556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros40897.2019.8967556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1903.00618","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.00618","pdf_url":"https://arxiv.org/pdf/1903.00618","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2919015029","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1903.00618","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1903.00618","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1903.00618","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1903.00618","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.00618","pdf_url":"https://arxiv.org/pdf/1903.00618","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G4480782497","display_name":null,"funder_award_id":"CAREER IIS-1253549","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5321347011","display_name":null,"funder_award_id":"CNS 1544844","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6591140815","display_name":"CAREER: Observing the world through the lenses of social media","funder_award_id":"1253549","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2919015029.pdf","grobid_xml":"https://content.openalex.org/works/W2919015029.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1847088711","https://openalex.org/W1947050545","https://openalex.org/W1967456674","https://openalex.org/W2122646361","https://openalex.org/W2163612318","https://openalex.org/W2341058432","https://openalex.org/W2424778531","https://openalex.org/W2525936901","https://openalex.org/W2535547924","https://openalex.org/W2559927751","https://openalex.org/W2560474170","https://openalex.org/W2579718262","https://openalex.org/W2592008540","https://openalex.org/W2603203130","https://openalex.org/W2607296803","https://openalex.org/W2610060393","https://openalex.org/W2753526808","https://openalex.org/W2769282630","https://openalex.org/W2769735038","https://openalex.org/W2777342313","https://openalex.org/W2784715585","https://openalex.org/W2902281023","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963150697","https://openalex.org/W2963524571","https://openalex.org/W2963610939","https://openalex.org/W2963675021","https://openalex.org/W2963795951","https://openalex.org/W2963818059","https://openalex.org/W2963924762","https://openalex.org/W2964222622","https://openalex.org/W2968393007","https://openalex.org/W2977233818","https://openalex.org/W2989506443","https://openalex.org/W3003341156","https://openalex.org/W3102327032","https://openalex.org/W6638824847","https://openalex.org/W6642206748","https://openalex.org/W6730548322","https://openalex.org/W6731992678","https://openalex.org/W6733956904","https://openalex.org/W6745669638","https://openalex.org/W6749381375","https://openalex.org/W6750651649","https://openalex.org/W6752001723","https://openalex.org/W6756065115","https://openalex.org/W6756173984","https://openalex.org/W6761021759"],"related_works":["https://openalex.org/W3003987610","https://openalex.org/W2944312741","https://openalex.org/W2894396292","https://openalex.org/W2806282362","https://openalex.org/W3214497960","https://openalex.org/W2592008540","https://openalex.org/W3007708315","https://openalex.org/W2891845086","https://openalex.org/W2950000399","https://openalex.org/W2792194256","https://openalex.org/W3116716570","https://openalex.org/W3088653878","https://openalex.org/W2944878723","https://openalex.org/W2155912192","https://openalex.org/W3080305257","https://openalex.org/W2770928021","https://openalex.org/W2964653581","https://openalex.org/W1533024232","https://openalex.org/W2414050446","https://openalex.org/W2806490840"],"abstract_inverted_index":{"Recognizing":[0],"abnormal":[1],"events":[2],"such":[3],"as":[4,63,142,144],"traffic":[5,90,111,136],"violations":[6],"and":[7,19,42,113,119,158],"accidents":[8],"in":[9,93,162],"natural":[10],"driving":[11,18],"scenes":[12],"is":[13,48,101],"essential":[14],"for":[15,50,55,89],"successful":[16],"autonomous":[17],"advanced":[20],"driver":[21],"assistance":[22],"systems.":[23],"However,":[24],"most":[25],"work":[26,164],"on":[27,67],"video":[28],"anomaly":[29,76],"detection":[30,92],"suffers":[31],"from":[32],"two":[33],"crucial":[34],"drawbacks.":[35],"First,":[36],"they":[37,59],"assume":[38],"cameras":[39],"are":[40,165],"fixed":[41],"videos":[43],"have":[44,79],"static":[45],"backgrounds,":[46],"which":[47],"reasonable":[49],"surveillance":[51],"applications":[52],"but":[53],"not":[54],"vehicle-mounted":[56],"cameras.":[57],"Second,":[58],"pose":[60],"the":[61,107,116,155,159],"problem":[62],"one-class":[64],"classification,":[65],"relying":[66],"arduously":[68],"hand-labeled":[69],"training":[70],"datasets":[71],"that":[72,78,151],"limit":[73],"recognition":[74],"to":[75,102],"categories":[77],"been":[80],"explicitly":[81],"trained.":[82],"This":[83],"paper":[84],"proposes":[85],"an":[86],"unsupervised":[87],"approach":[88,129,153],"accident":[91],"first-person":[94],"(dashboard-mounted":[95],"camera)":[96],"videos.":[97],"Our":[98],"major":[99],"novelty":[100],"detect":[103],"anomalies":[104],"by":[105],"predicting":[106],"future":[108],"locations":[109],"of":[110,134],"participants":[112],"then":[114],"monitoring":[115],"prediction":[117],"accuracy":[118],"consistency":[120],"metrics":[121],"with":[122],"three":[123],"different":[124],"strategies.":[125],"We":[126],"evaluate":[127],"our":[128,152],"using":[130],"a":[131],"new":[132],"dataset":[133,160],"diverse":[135],"accidents,":[137],"AnAn":[138],"Accident":[139],"Detection":[140],"(A3D),":[141],"well":[143],"another":[145],"publicly-available":[146],"dataset.":[147],"Experimental":[148],"results":[149],"show":[150],"outperforms":[154],"state-of-the-art.":[156],"Code":[157],"developed":[161],"this":[163],"available":[166],"at:":[167],"https:llgithub.comlMoonBtvdltad-IROS2019.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
