{"id":"https://openalex.org/W2550544881","doi":"https://doi.org/10.1109/tcsvt.2016.2632439","title":"Traffic Analytics With Low-Frame-Rate Videos","display_name":"Traffic Analytics With Low-Frame-Rate Videos","publication_year":2016,"publication_date":"2016-11-24","ids":{"openalex":"https://openalex.org/W2550544881","doi":"https://doi.org/10.1109/tcsvt.2016.2632439","mag":"2550544881"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2016.2632439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2632439","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5072443458","display_name":"Zhiming Luo","orcid":"https://orcid.org/0000-0002-3411-9582"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CA","CN"],"is_corresponding":true,"raw_author_name":"Zhiming Luo","raw_affiliation_strings":["Department of Cognitive Science, Xiamen University, Xiamen, China","Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada","Department of Cognitive Science, Xiamen University, Xiamen, China; Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada","institution_ids":["https://openalex.org/I135117807"]},{"raw_affiliation_string":"Department of Cognitive Science, Xiamen University, Xiamen, China; Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada","institution_ids":["https://openalex.org/I135117807","https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086581005","display_name":"Pierre\u2010Marc Jodoin","orcid":"https://orcid.org/0000-0002-6038-5753"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pierre-Marc Jodoin","raw_affiliation_strings":["Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada","Dept. of Computer Science, University of Sherbrooke, Sherbrooke QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada","institution_ids":["https://openalex.org/I135117807"]},{"raw_affiliation_string":"Dept. of Computer Science, University of Sherbrooke, Sherbrooke QC, Canada","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066468110","display_name":"Songzhi Su","orcid":"https://orcid.org/0000-0001-8961-9405"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song-Zhi Su","raw_affiliation_strings":["Department of Cognitive Science, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081767617","display_name":"Shaozi Li","orcid":"https://orcid.org/0000-0001-5403-9945"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao-Zi Li","raw_affiliation_strings":["Department of Cognitive Science, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive Science, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019862529","display_name":"Hugo Larochelle","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148186","display_name":"Google (Canada)","ror":"https://ror.org/04d06q394","country_code":"CA","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969","https://openalex.org/I4210148186"]},{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hugo Larochelle","raw_affiliation_strings":["Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada","Google Brain, Montreal, QC, Canada","Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada; Google Brain, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada","institution_ids":["https://openalex.org/I135117807"]},{"raw_affiliation_string":"Google Brain, Montreal, QC, Canada","institution_ids":["https://openalex.org/I4210148186"]},{"raw_affiliation_string":"Department of Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada; Google Brain, Montreal, QC, Canada","institution_ids":["https://openalex.org/I4210148186"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072443458"],"corresponding_institution_ids":["https://openalex.org/I135117807","https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":1.67,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.89549734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"4","first_page":"878","last_page":"891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9975000023841858,"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":0.7767519354820251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6599213480949402},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6244022250175476},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6089377403259277},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5603910088539124},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5442959070205688},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5088732242584229},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.4361100196838379},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4272812008857727},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4258421063423157},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.12608471512794495},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08330586552619934},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07564777135848999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767519354820251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6599213480949402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6244022250175476},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6089377403259277},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5603910088539124},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5442959070205688},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5088732242584229},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.4361100196838379},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4272812008857727},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4258421063423157},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.12608471512794495},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08330586552619934},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07564777135848999},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2016.2632439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2632439","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G5829034340","display_name":null,"funder_award_id":"Equipe 172083","funder_id":"https://openalex.org/F4320321747","funder_display_name":"Fonds Qu\u00e9b\u00e9cois de la Recherche sur la Nature et les Technologies"}],"funders":[{"id":"https://openalex.org/F4320321747","display_name":"Fonds Qu\u00e9b\u00e9cois de la Recherche sur la Nature et les Technologies","ror":"https://ror.org/00b9f9778"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W33116912","https://openalex.org/W1561477459","https://openalex.org/W1568511989","https://openalex.org/W1578218114","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1932847118","https://openalex.org/W1958236864","https://openalex.org/W1963882359","https://openalex.org/W1973261441","https://openalex.org/W1983364832","https://openalex.org/W1996117124","https://openalex.org/W2012742472","https://openalex.org/W2027922120","https://openalex.org/W2031601013","https://openalex.org/W2036785686","https://openalex.org/W2042248823","https://openalex.org/W2045721916","https://openalex.org/W2052524720","https://openalex.org/W2053240432","https://openalex.org/W2062118960","https://openalex.org/W2065220250","https://openalex.org/W2080829704","https://openalex.org/W2087386265","https://openalex.org/W2089731858","https://openalex.org/W2102605133","https://openalex.org/W2109235804","https://openalex.org/W2112796928","https://openalex.org/W2116158224","https://openalex.org/W2118585731","https://openalex.org/W2122679244","https://openalex.org/W2123650791","https://openalex.org/W2126918828","https://openalex.org/W2127708265","https://openalex.org/W2134910498","https://openalex.org/W2137479423","https://openalex.org/W2143373691","https://openalex.org/W2144913102","https://openalex.org/W2154206668","https://openalex.org/W2156017603","https://openalex.org/W2156303437","https://openalex.org/W2160510830","https://openalex.org/W2163605009","https://openalex.org/W2179352600","https://openalex.org/W2293582111","https://openalex.org/W2328122623","https://openalex.org/W2399090146","https://openalex.org/W2481114392","https://openalex.org/W2490270993","https://openalex.org/W2501874254","https://openalex.org/W2506082243","https://openalex.org/W2508551084","https://openalex.org/W2963324806","https://openalex.org/W2963552569","https://openalex.org/W6601344910","https://openalex.org/W6659849045","https://openalex.org/W6664004596","https://openalex.org/W6676338569","https://openalex.org/W6677656871","https://openalex.org/W6679903977","https://openalex.org/W6682864246","https://openalex.org/W6684191040","https://openalex.org/W6702152907"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2977517636","https://openalex.org/W1969179582","https://openalex.org/W2810129309"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"investigate":[4],"the":[5,28,43,71,98],"possibility":[6],"of":[7,27,37,48,70,75,101,184,186],"monitoring":[8],"highway":[9],"traffic":[10,34,76,105,128,131,135,150,161,173,191],"based":[11],"on":[12,87],"videos":[13,58],"whose":[14],"frame":[15],"rate":[16],"is":[17,31,41,124],"too":[18],"low":[19],"to":[20,32,55,97,110,116,126,148,180,189],"accurately":[21],"estimate":[22,134],"motion":[23,61,139],"features.":[24,140],"The":[25,45],"goal":[26],"proposed":[29,147],"method":[30,67,108,123],"recognize":[33],"conditions":[35],"instead":[36],"measuring":[38],"them,":[39],"as":[40],"usually":[42],"case.":[44],"main":[46],"advantage":[47,69],"our":[49,107,122],"approach":[50],"comes":[51],"from":[52,81],"its":[53],"ability":[54],"process":[56],"low-frame-rate":[57],"for":[59],"which":[60],"features":[62,112],"cannot":[63],"be":[64],"estimated.":[65],"Our":[66],"takes":[68],"highly":[72],"redundant":[73],"nature":[74],"scenes":[77],"that":[78,113],"are":[79,114,146],"pictured":[80,103],"a":[82,88,178],"top-down":[83],"perspective":[84],"showing":[85],"vehicles":[86],"predominant":[89],"asphalted":[90],"road":[91],"surrounded":[92],"by":[93],"background":[94],"objects.":[95],"Due":[96],"limited":[99],"variety":[100],"objects":[102],"in":[104,152],"scenes,":[106,132],"gets":[109],"learn":[111],"specific":[115],"such":[117],"images.":[118],"With":[119],"these":[120,187],"features,":[121],"able":[125],"segment":[127,149],"images,":[129],"classify":[130,160],"and":[133,158,169,171],"density":[136],"without":[137],"requiring":[138],"Different":[141],"convolutional":[142],"neural":[143],"network":[144],"models":[145,188],"images":[151,162],"three":[153],"different":[154,164],"classes":[155],"(Road,":[156],"Car,":[157],"Background),":[159],"into":[163],"categories":[165],"(Empty,":[166],"Fluid,":[167],"Heavy,":[168],"Jam),":[170],"predict":[172],"density.":[174],"We":[175],"also":[176],"propose":[177],"procedure":[179],"perform":[181],"transfer":[182],"learning":[183],"any":[185],"new":[190],"scenes.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
