{"id":"https://openalex.org/W2990286629","doi":"https://doi.org/10.1109/itsc.2019.8917212","title":"A General Framework of Learning Multi-Vehicle Interaction Patterns from Video","display_name":"A General Framework of Learning Multi-Vehicle Interaction Patterns from Video","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990286629","doi":"https://doi.org/10.1109/itsc.2019.8917212","mag":"2990286629"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8917212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},"type":"preprint","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/A5101955002","display_name":"Chengyuan Zhang","orcid":"https://orcid.org/0000-0001-8463-7380"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengyuan Zhang","raw_affiliation_strings":["Department of Automotive Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026307285","display_name":"Jiacheng Zhu","orcid":"https://orcid.org/0000-0001-9707-7503"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiacheng Zhu","raw_affiliation_strings":["Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055099598","display_name":"Wenshuo Wang","orcid":"https://orcid.org/0000-0002-1860-8351"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenshuo Wang","raw_affiliation_strings":["Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037644321","display_name":"Ding Zhao","orcid":"https://orcid.org/0000-0002-9400-8446"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ding Zhao","raw_affiliation_strings":["Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101955002"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.65998164,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73062863,"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":"4323","last_page":"4328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9993000030517578,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.79396653175354},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5896282196044922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5602867007255554},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5428926348686218},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4710514545440674},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.4675060212612152},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42563578486442566},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.41586852073669434},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4156178832054138},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3843546211719513},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3236224055290222},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2258341908454895},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.19478359818458557},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.1053631603717804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79396653175354},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5896282196044922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5602867007255554},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5428926348686218},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4710514545440674},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.4675060212612152},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42563578486442566},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.41586852073669434},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4156178832054138},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3843546211719513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3236224055290222},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2258341908454895},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.19478359818458557},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.1053631603717804},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2019.8917212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"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/W1540484164","https://openalex.org/W1595717062","https://openalex.org/W1966312294","https://openalex.org/W2058570191","https://openalex.org/W2072195747","https://openalex.org/W2109389234","https://openalex.org/W2122075562","https://openalex.org/W2132991226","https://openalex.org/W2473723854","https://openalex.org/W2503238138","https://openalex.org/W2773275097","https://openalex.org/W2791780736","https://openalex.org/W2796347433","https://openalex.org/W2884632677","https://openalex.org/W2892122874","https://openalex.org/W2949115596","https://openalex.org/W2964264720","https://openalex.org/W4293584584","https://openalex.org/W6632212546"],"related_works":["https://openalex.org/W3126382579","https://openalex.org/W3107650560","https://openalex.org/W4317422773","https://openalex.org/W4315588616","https://openalex.org/W2810542905","https://openalex.org/W2129350855","https://openalex.org/W2888805565","https://openalex.org/W4243064001","https://openalex.org/W3123667230","https://openalex.org/W3096554474"],"abstract_inverted_index":{"Semantic":[0],"learning":[1],"and":[2,56],"understanding":[3],"of":[4],"multi-vehicle":[5,35,53,121],"interaction":[6,36,54,99,122],"patterns":[7,37],"in":[8],"a":[9,27,45,73,78,83,116],"cluttered":[10,126],"driving":[11,127],"environment":[12],"are":[13,130],"essential":[14],"but":[15],"challenging":[16],"for":[17,66,125],"autonomous":[18],"vehicles":[19],"to":[20,30,49,61,85,98,119],"make":[21],"proper":[22],"decisions.":[23],"This":[24],"paper":[25],"presents":[26],"general":[28],"framework":[29,107],"gain":[31],"insights":[32],"into":[33,90],"intricate":[34],"from":[38,112],"bird's-eye":[39],"view":[40],"traffic":[41,95,110],"videos.":[42],"We":[43],"adopt":[44],"Gaussian":[46],"velocity":[47],"field":[48],"describe":[50],"the":[51],"time-varying":[52],"behaviors":[55],"then":[57],"use":[58],"deep":[59],"autoencoders":[60],"learn":[62],"associated":[63],"latent":[64],"representations":[65,89],"each":[67],"temporal":[68],"frame.":[69],"Then,":[70],"we":[71],"utilize":[72],"hidden":[74],"semi-Markov":[75],"model":[76],"with":[77],"hierarchical":[79],"Dirichlet":[80],"process":[81],"as":[82],"prior":[84],"segment":[86],"these":[87],"sequential":[88],"granular":[91],"components,":[92],"also":[93],"called":[94],"primitives,":[96],"corresponding":[97],"patterns.":[100],"Experimental":[101],"results":[102],"demonstrate":[103],"that":[104,129],"our":[105],"proposed":[106],"can":[108,136],"extract":[109],"primitives":[111],"videos,":[113],"thus":[114],"providing":[115],"semantic":[117],"way":[118],"analyze":[120],"patterns,":[123],"even":[124],"scenarios":[128],"far":[131],"messier":[132],"than":[133],"human":[134],"beings":[135],"cope":[137],"with.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-12-05T00:00:00"}
