{"id":"https://openalex.org/W2497880326","doi":"https://doi.org/10.1109/tcsvt.2016.2593609","title":"Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling","display_name":"Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2497880326","doi":"https://doi.org/10.1109/tcsvt.2016.2593609","mag":"2497880326"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2016.2593609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2593609","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/A5101930309","display_name":"Yanhao Zhang","orcid":"https://orcid.org/0000-0001-8612-989X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhao Zhang","raw_affiliation_strings":["School of computer science, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8612-989X","affiliations":[{"raw_affiliation_string":"School of computer science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044388347","display_name":"Lei Qin","orcid":"https://orcid.org/0000-0002-6708-1285"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Qin","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"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":"Rongrong Ji","raw_affiliation_strings":["Department of Cognitive Science, Xiamen University, Xiamen, China"],"raw_orcid":null,"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/A5051149140","display_name":"Sicheng Zhao","orcid":"https://orcid.org/0000-0001-5843-6411"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sicheng Zhao","raw_affiliation_strings":["School of computer science, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of computer science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["School of computer science, Harbin Institute of Technology, Harbin, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of computer science, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.6807,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.96940735,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"3","first_page":"635","last_page":"648"},"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":0.996999979019165,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/crowd-psychology","display_name":"Crowd psychology","score":0.8033150434494019},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.7585402727127075},{"id":"https://openalex.org/keywords/crowd-simulation","display_name":"Crowd simulation","score":0.6925727128982544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6013777256011963},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5817185044288635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5531554818153381},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.5300198197364807},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.46043816208839417},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44243156909942627},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36889511346817017},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2309666872024536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16859090328216553},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1617036759853363}],"concepts":[{"id":"https://openalex.org/C44042526","wikidata":"https://www.wikidata.org/wiki/Q1355183","display_name":"Crowd psychology","level":2,"score":0.8033150434494019},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.7585402727127075},{"id":"https://openalex.org/C45617602","wikidata":"https://www.wikidata.org/wiki/Q465266","display_name":"Crowd simulation","level":3,"score":0.6925727128982544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6013777256011963},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5817185044288635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5531554818153381},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.5300198197364807},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.46043816208839417},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44243156909942627},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36889511346817017},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2309666872024536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16859090328216553},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1617036759853363},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2016.2593609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2593609","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":[{"id":"https://metadata.un.org/sdg/10","score":0.6700000166893005,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2339317039","display_name":null,"funder_award_id":"61390510","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G267313036","display_name":null,"funder_award_id":"61332016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2892817957","display_name":null,"funder_award_id":"61133003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5805141255","display_name":"\u57fa\u4e8e\u68c0\u6d4b\u5173\u8054\u7684\u5728\u7ebf\u591a\u76ee\u6807\u8ddf\u8e2a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61572465","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7617127572","display_name":null,"funder_award_id":"2015CB351802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7832250435","display_name":null,"funder_award_id":"61402388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8017731688","display_name":null,"funder_award_id":"2012CB316400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W282757658","https://openalex.org/W1482815597","https://openalex.org/W1866281937","https://openalex.org/W1886885333","https://openalex.org/W1986357892","https://openalex.org/W1991597092","https://openalex.org/W1991668342","https://openalex.org/W1999935624","https://openalex.org/W2011128100","https://openalex.org/W2012931101","https://openalex.org/W2032488278","https://openalex.org/W2037121244","https://openalex.org/W2040395913","https://openalex.org/W2043181832","https://openalex.org/W2054560711","https://openalex.org/W2057285138","https://openalex.org/W2068861690","https://openalex.org/W2075456404","https://openalex.org/W2082645628","https://openalex.org/W2084694328","https://openalex.org/W2104351951","https://openalex.org/W2108404684","https://openalex.org/W2109389234","https://openalex.org/W2110930055","https://openalex.org/W2120353127","https://openalex.org/W2122361470","https://openalex.org/W2124901121","https://openalex.org/W2125095437","https://openalex.org/W2125105611","https://openalex.org/W2127852267","https://openalex.org/W2134080476","https://openalex.org/W2138092272","https://openalex.org/W2139413263","https://openalex.org/W2143646243","https://openalex.org/W2145962650","https://openalex.org/W2149021215","https://openalex.org/W2150312211","https://openalex.org/W2151055832","https://openalex.org/W2152433968","https://openalex.org/W2153822685","https://openalex.org/W2154946129","https://openalex.org/W2156709807","https://openalex.org/W2158874389","https://openalex.org/W2158958397","https://openalex.org/W2159526734","https://openalex.org/W2162745601","https://openalex.org/W2164489414","https://openalex.org/W2165609887","https://openalex.org/W2167052694","https://openalex.org/W2168045655","https://openalex.org/W2168053878","https://openalex.org/W2171848217","https://openalex.org/W2225382942","https://openalex.org/W2247675094","https://openalex.org/W2951443864","https://openalex.org/W3083538725","https://openalex.org/W4234406933","https://openalex.org/W4247760752","https://openalex.org/W6639381921","https://openalex.org/W6676029516","https://openalex.org/W6678706630","https://openalex.org/W6680330856","https://openalex.org/W6680470121","https://openalex.org/W6680847167"],"related_works":["https://openalex.org/W2189920449","https://openalex.org/W3096912411","https://openalex.org/W3043995842","https://openalex.org/W2077952221","https://openalex.org/W135395861","https://openalex.org/W2218711042","https://openalex.org/W2036586770","https://openalex.org/W2314427365","https://openalex.org/W172068003","https://openalex.org/W1970206276"],"abstract_inverted_index":{"Crowd":[0,66],"behavior":[1],"analysis":[2],"has":[3],"recently":[4],"attracted":[5],"extensive":[6],"attention":[7],"in":[8,20,97,151],"research.":[9],"However,":[10],"the":[11,23,33,45,72,75,87,91,105,123,157,171,175],"existing":[12],"research":[13],"mainly":[14],"focuses":[15],"on":[16,194],"investigating":[17,86],"motion":[18,95,125,130],"patterns":[19,96],"crowds,":[21],"while":[22],"emotional":[24,77,129],"aspects":[25],"of":[26,35,79,94,108,174],"crowd":[27,36,61,64,80,161,176,195,205,224,232],"behaviors":[28,37,81],"are":[29,49,132],"left":[30],"unexplored.":[31],"Analyzing":[32],"emotion":[34,172,233],"is":[38,68,163,179],"indeed":[39],"extremely":[40],"important,":[41],"as":[42,166],"it":[43],"uncovers":[44],"social":[46,76,143],"moods":[47],"that":[48,74,200],"beneficial":[50],"for":[51,189,220],"video":[52,196],"surveillance.":[53],"In":[54,145],"this":[55,100],"paper,":[56],"we":[57,102,147],"propose":[58],"a":[59,152],"novel":[60],"representation":[62],"termed":[63],"mood.":[65],"mood":[67,162,206,225,229],"established":[69],"based":[70],"upon":[71],"discovery":[73],"hypothesis":[78],"can":[82],"be":[83],"revealed":[84],"by":[85,110,137,155],"spacing":[88],"interactions":[89],"and":[90,135,187,207,217,231],"structural":[92],"levels":[93],"crowds.":[98],"To":[99],"end,":[101],"first":[103],"learn":[104],"structured":[106],"trajectories":[107],"crowds":[109],"particle":[111],"advection":[112],"using":[113],"low-rank":[114],"approximation":[115],"with":[116,212],"group":[117],"sparsity":[118],"constraint,":[119],"which":[120,178],"implicitly":[121],"characterizes":[122],"coherent":[124],"patterns.":[126],"Second,":[127],"rich":[128],"features":[131,150],"explicitly":[133],"extracted":[134],"fused":[136],"support":[138],"vector":[139],"regression":[140],"to":[141,169,181,184,214],"reflect":[142],"characteristics.":[144],"particular,":[146],"construct":[148],"weighted":[149],"boosted":[153],"manner":[154],"considering":[156],"features'":[158],"significance.":[159],"Finally,":[160],"intuitively":[164],"presented":[165],"affective":[167],"curves":[168],"track":[170],"states":[173],"dynamics,":[177],"robust":[180],"noise,":[182],"sensitive":[183],"semantic":[185],"shift,":[186],"compact":[188],"pattern":[190],"expressions.":[191],"Extensive":[192],"evaluations":[193],"data":[197],"sets":[198],"demonstrate":[199],"our":[201],"approach":[202],"effectively":[203],"models":[204],"achieves":[208],"significantly":[209],"better":[210],"results":[211],"comparisons":[213],"several":[215],"alternative":[216],"state-of-the-art":[218],"approaches":[219],"various":[221],"tasks,":[222],"i.e.,":[223],"classification,":[226],"global":[227],"abnormal":[228],"detection,":[230],"matching.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
