{"id":"https://openalex.org/W3126314169","doi":"https://doi.org/10.1109/ipas50080.2020.9334942","title":"Automotive Interior Sensing - Towards a Synergetic Approach between Anomaly Detection and Action Recognition Strategies","display_name":"Automotive Interior Sensing - Towards a Synergetic Approach between Anomaly Detection and Action Recognition Strategies","publication_year":2020,"publication_date":"2020-12-09","ids":{"openalex":"https://openalex.org/W3126314169","doi":"https://doi.org/10.1109/ipas50080.2020.9334942","mag":"3126314169"},"language":"en","primary_location":{"id":"doi:10.1109/ipas50080.2020.9334942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas50080.2020.9334942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS)","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/A5039713598","display_name":"Pedro Augusto","orcid":"https://orcid.org/0000-0002-0353-832X"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Pedro Augusto","raw_affiliation_strings":["Faculty of Engineering of the University of Porto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering of the University of Porto","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013827007","display_name":"Jaime S. Cardoso","orcid":"https://orcid.org/0000-0002-3760-2473"},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]},{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jaime S. Cardoso","raw_affiliation_strings":["INESCTEC and University of Porto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESCTEC and University of Porto","institution_ids":["https://openalex.org/I121345201","https://openalex.org/I182534213","https://openalex.org/I4210166615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072788624","display_name":"Joaquim Fonseca","orcid":"https://orcid.org/0000-0002-2056-1206"},"institutions":[{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Joaquim Fonseca","raw_affiliation_strings":["Bosch Car Multimedia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Car Multimedia","institution_ids":["https://openalex.org/I4210151956"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5416,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75136903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"162","last_page":"167"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10812","display_name":"Human Pose and Action Recognition","score":0.9887999892234802,"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":0.7941443920135498},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7869046926498413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.722478985786438},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.7172794342041016},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6439124345779419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6075594425201416},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.505577802658081},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5015120506286621},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4587107300758362},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4468895196914673},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41107672452926636}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7941443920135498},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7869046926498413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.722478985786438},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.7172794342041016},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6439124345779419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6075594425201416},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.505577802658081},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5015120506286621},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4587107300758362},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4468895196914673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41107672452926636},{"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipas50080.2020.9334942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas50080.2020.9334942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5400000214576721},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G2706466917","display_name":null,"funder_award_id":"039334,POCI-01-0247-FEDER-039334","funder_id":"https://openalex.org/F4320321595","funder_display_name":"Federaci\u00f3n Espa\u00f1ola de Enfermedades Raras"}],"funders":[{"id":"https://openalex.org/F4320321595","display_name":"Federaci\u00f3n Espa\u00f1ola de Enfermedades Raras","ror":"https://ror.org/0348bpk17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2109606373","https://openalex.org/W2122646361","https://openalex.org/W2152264487","https://openalex.org/W2156303437","https://openalex.org/W2341058432","https://openalex.org/W2401154299","https://openalex.org/W2540481276","https://openalex.org/W2579718262","https://openalex.org/W2624162241","https://openalex.org/W2766042539","https://openalex.org/W2899116516","https://openalex.org/W2903380502","https://openalex.org/W2921884976","https://openalex.org/W2934625602","https://openalex.org/W2963524571","https://openalex.org/W2964032056","https://openalex.org/W2968556596","https://openalex.org/W2981741013","https://openalex.org/W2996443765","https://openalex.org/W6682864246","https://openalex.org/W6739690495","https://openalex.org/W6755483178"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W1998222986","https://openalex.org/W4300558037","https://openalex.org/W4377864969"],"abstract_inverted_index":{"With":[0,176],"the":[1,17,82,92,184,219],"appearance":[2],"of":[3,22,94,136,187,221],"Shared":[4],"Autonomous":[5],"Vehicles":[6],"there":[7],"will":[8],"no":[9],"longer":[10],"be":[11,59,165],"a":[12,32,64,88,108,134,194,207],"driver":[13],"responsible":[14],"for":[15,209],"maintaining":[16],"car":[18],"interior":[19],"and":[20,85,125,131,215],"well-being":[21],"passengers.":[23,46],"To":[24],"counter":[25],"this,":[26],"it":[27,203],"is":[28,35,71,193],"imperative":[29],"to":[30,37,106,152,197],"have":[31],"system":[33],"that":[34,62,66,90,159],"able":[36],"detect":[38],"any":[39],"abnormal":[40,170],"behaviors,":[41],"more":[42],"specifically,":[43],"violence":[44],"between":[45],"Traditional":[47],"action":[48,74,126,199],"recognition":[49,75,127,200],"algorithms":[50,99,128,201],"build":[51,107],"models":[52,76],"around":[53],"known":[54],"interactions":[55],"but":[56],"activities":[57,84],"can":[58,164,204],"so":[60,158],"diverse,":[61],"having":[63],"dataset":[65],"incorporates":[67],"most":[68],"use":[69],"cases":[70],"unattainable.":[72],"While":[73],"are":[77,117,181],"normally":[78],"trained":[79],"on":[80,122,133,172],"all":[81],"defined":[83],"directly":[86],"output":[87],"score":[89],"classifies":[91],"likelihood":[93],"violence,":[95],"video":[96,139],"anomaly":[97,123,146],"detection":[98,124,147],"present":[100],"themselves":[101],"as":[102,167,206],"an":[103],"alternative":[104],"approach":[105],"good":[109],"discriminative":[110],"model":[111],"since":[112,202],"usually":[113],"only":[114],"non-violent":[115],"examples":[116],"needed.":[118],"This":[119],"work":[120,205],"focuses":[121],"trained,":[129],"validated":[130],"tested":[132],"subset":[135],"human":[137,223],"behavior":[138],"sequences":[140,157],"from":[141],"Bosch's":[142],"internal":[143],"datasets.":[144],"The":[145,190],"network":[148],"architecture":[149],"defines":[150],"how":[151],"properly":[153],"reconstruct":[154],"normal":[155,168],"frame":[156],"during":[160],"testing,":[161],"each":[162,188],"sequence":[163],"classified":[166],"or":[169],"based":[171],"its":[173],"reconstruction":[174],"error.":[175],"these":[177],"errors,":[178],"regularity":[179,186],"scores":[180],"inferred":[182],"showing":[183],"predicted":[185],"frame.":[189],"resulting":[191],"framework":[192],"viable":[195],"addition":[196],"traditional":[198],"tool":[208],"detecting":[210],"unknown":[211],"actions,":[212],"strange/violent":[213],"behaviors":[214],"aid":[216],"in":[217],"understanding":[218],"meaning":[220],"such":[222],"interactions.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
