{"id":"https://openalex.org/W3016116664","doi":"https://doi.org/10.1109/iv47402.2020.9304576","title":"Towards Anomaly Detection in Dashcam Videos","display_name":"Towards Anomaly Detection in Dashcam Videos","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3016116664","doi":"https://doi.org/10.1109/iv47402.2020.9304576","mag":"3016116664"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.05261","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045192793","display_name":"Sanjay Haresh","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sanjay Haresh","raw_affiliation_strings":["Retrocausal, Inc., Seattle, WA, USA","Retrocausal, Inc.,Seattle,WA,USA,98105"],"affiliations":[{"raw_affiliation_string":"Retrocausal, Inc., Seattle, WA, USA","institution_ids":[]},{"raw_affiliation_string":"Retrocausal, Inc.,Seattle,WA,USA,98105","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091462273","display_name":"Sateesh Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sateesh Kumar","raw_affiliation_strings":["Retrocausal, Inc., Seattle, WA, USA","Retrocausal, Inc.,Seattle,WA,USA,98105"],"affiliations":[{"raw_affiliation_string":"Retrocausal, Inc., Seattle, WA, USA","institution_ids":[]},{"raw_affiliation_string":"Retrocausal, Inc.,Seattle,WA,USA,98105","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101510045","display_name":"M. Zeeshan Zia","orcid":"https://orcid.org/0000-0001-8221-2637"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Zeeshan Zia","raw_affiliation_strings":["Retrocausal, Inc., Seattle, WA, USA","Retrocausal, Inc.,Seattle,WA,USA,98105"],"affiliations":[{"raw_affiliation_string":"Retrocausal, Inc., Seattle, WA, USA","institution_ids":[]},{"raw_affiliation_string":"Retrocausal, Inc.,Seattle,WA,USA,98105","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000328580","display_name":"Quoc-Huy Tran","orcid":"https://orcid.org/0000-0003-1396-6544"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quoc-Huy Tran","raw_affiliation_strings":["Retrocausal, Inc., Seattle, WA, USA","Retrocausal, Inc.,Seattle,WA,USA,98105"],"affiliations":[{"raw_affiliation_string":"Retrocausal, Inc., Seattle, WA, USA","institution_ids":[]},{"raw_affiliation_string":"Retrocausal, Inc.,Seattle,WA,USA,98105","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045192793"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03666881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1407","last_page":"1414"},"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":0.9908000230789185,"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":0.9854000210762024,"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":0.8795977234840393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7734079360961914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5033161044120789},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4971201717853546},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.4861406981945038},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4818497896194458},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.4743978977203369},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4328835606575012},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4253968298435211},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.41496044397354126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36079782247543335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2772893011569977},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.20433306694030762},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15832555294036865}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8795977234840393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7734079360961914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5033161044120789},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4971201717853546},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.4861406981945038},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4818497896194458},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.4743978977203369},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4328835606575012},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4253968298435211},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.41496044397354126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36079782247543335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2772893011569977},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.20433306694030762},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15832555294036865},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/iv47402.2020.9304576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.05261","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.05261","pdf_url":"https://arxiv.org/pdf/2004.05261","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:3016116664","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2004.05261","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.2004.05261","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2004.05261","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":"article"},{"id":"mag:3126419577","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/ivs/ivs2020.html#HareshKZT20","pdf_url":null,"source":{"id":"https://openalex.org/S4363604372","display_name":"IV","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IV","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.05261","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.05261","pdf_url":"https://arxiv.org/pdf/2004.05261","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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3016116664.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1967456674","https://openalex.org/W2016053056","https://openalex.org/W2088173505","https://openalex.org/W2142047467","https://openalex.org/W2163612318","https://openalex.org/W2308045930","https://openalex.org/W2336403884","https://openalex.org/W2473644495","https://openalex.org/W2592008540","https://openalex.org/W2613718673","https://openalex.org/W2665124875","https://openalex.org/W2740525581","https://openalex.org/W2745410201","https://openalex.org/W2760648400","https://openalex.org/W2766042539","https://openalex.org/W2777342313","https://openalex.org/W2783748519","https://openalex.org/W2803697594","https://openalex.org/W2806331055","https://openalex.org/W2933013660","https://openalex.org/W2948778647","https://openalex.org/W2962791923","https://openalex.org/W2962870549","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963524571","https://openalex.org/W2963531306","https://openalex.org/W2963610939","https://openalex.org/W2963795951","https://openalex.org/W2963899855","https://openalex.org/W2964015378","https://openalex.org/W2964057995","https://openalex.org/W2964232409","https://openalex.org/W2965638479","https://openalex.org/W2970347920","https://openalex.org/W2970530432","https://openalex.org/W2979800813","https://openalex.org/W2987228832","https://openalex.org/W2990711573","https://openalex.org/W3000279895","https://openalex.org/W3004009417","https://openalex.org/W3105939760","https://openalex.org/W3153872861","https://openalex.org/W6620707391","https://openalex.org/W6642206748","https://openalex.org/W6726873649","https://openalex.org/W6733956904","https://openalex.org/W6737807802","https://openalex.org/W6747770606","https://openalex.org/W6751494907","https://openalex.org/W6760610560","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W3126419577","https://openalex.org/W2746873023","https://openalex.org/W2982190919","https://openalex.org/W2801326158","https://openalex.org/W2905301206","https://openalex.org/W849428693","https://openalex.org/W3090228265","https://openalex.org/W3092897728","https://openalex.org/W3164976338","https://openalex.org/W3122380385","https://openalex.org/W1553632329","https://openalex.org/W3096857588","https://openalex.org/W3015096508","https://openalex.org/W3126314169","https://openalex.org/W2964393461","https://openalex.org/W3193673868","https://openalex.org/W3170104927","https://openalex.org/W2332357839","https://openalex.org/W3168785213","https://openalex.org/W618135403"],"abstract_inverted_index":{"Inexpensive":[0],"sensing":[1],"and":[2,88,106,118,128,171],"computation,":[3],"as":[4,6,137,139,154],"well":[5,138,179],"insurance":[7],"innovations,":[8],"have":[9],"made":[10],"smart":[11],"dashboard":[12],"cameras":[13],"ubiquitous.":[14],"Increasingly,":[15],"simple":[16],"model-driven":[17],"computer":[18],"vision":[19],"algorithms":[20],"focused":[21],"on":[22,135,140,199],"lane":[23],"departures":[24],"or":[25],"safe":[26],"following":[27],"distances":[28],"are":[29,48],"finding":[30],"their":[31],"way":[32],"into":[33,187],"these":[34,45,191],"devices.":[35],"Unfortunately,":[36,76],"the":[37,70,188],"long-tailed":[38],"distribution":[39],"of":[40,72,95,109,190,195],"road":[41],"hazards":[42],"means":[43],"that":[44,115,159],"hand-crafted":[46],"pipelines":[47],"inadequate":[49],"for":[50,132,147],"driver":[51],"safety":[52],"systems.":[53],"We":[54,122,144],"propose":[55],"to":[56,65,85],"apply":[57],"data-driven":[58],"anomaly":[59,83,133,168,173,196],"detection":[60,134,169,174,197],"ideas":[61],"from":[62],"deep":[63],"learning":[64],"dashcam":[66,111,200],"videos,":[67,112],"which":[68],"hold":[69],"promise":[71],"bridging":[73],"this":[74,100,152],"gap.":[75],"there":[77,90],"exists":[78],"almost":[79],"no":[80],"literature":[81],"applying":[82],"understanding":[84],"moving":[86],"cameras,":[87],"correspondingly":[89],"is":[91,162],"also":[92],"a":[93,104],"lack":[94],"relevant":[96],"datasets.":[97,143],"To":[98],"counter":[99],"issue,":[101],"we":[102,184],"present":[103],"large":[105],"diverse":[107],"dataset":[108,161],"truck":[110],"namely":[113],"RetroTrucks,":[114],"includes":[116],"normal":[117],"anomalous":[119],"driving":[120],"scenes.":[121],"apply:":[123],"(i)":[124],"one-class":[125],"classification":[126],"loss":[127],"(ii)":[129],"reconstruction-based":[130],"loss,":[131],"RetroTrucks":[136],"existing":[141],"static-camera":[142],"introduce":[145],"formulations":[146],"modeling":[148],"object":[149],"interactions":[150],"in":[151],"context":[153],"priors.":[155],"Our":[156],"experiments":[157],"indicate":[158],"our":[160],"indeed":[163],"more":[164],"challenging":[165],"than":[166],"standard":[167],"datasets,":[170],"previous":[172],"methods":[175],"do":[176],"not":[177],"perform":[178],"here":[180],"out-of-the-box.":[181],"In":[182],"addition,":[183],"share":[185],"insights":[186],"behavior":[189],"two":[192],"important":[193],"families":[194],"approaches":[198],"data.":[201]},"counts_by_year":[],"updated_date":"2026-03-18T06:27:02.140700","created_date":"2025-10-10T00:00:00"}