{"id":"https://openalex.org/W2293336468","doi":"https://doi.org/10.1145/2854000","title":"Measuring Collectiveness via Refined Topological Similarity","display_name":"Measuring Collectiveness via Refined Topological Similarity","publication_year":2016,"publication_date":"2016-03-03","ids":{"openalex":"https://openalex.org/W2293336468","doi":"https://doi.org/10.1145/2854000","mag":"2293336468"},"language":"en","primary_location":{"id":"doi:10.1145/2854000","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2854000","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ir.opt.ac.cn/handle/181661/28087","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100740143","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0002-0019-4197"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["Center for Optical Imagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shaanxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Optical Imagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I4210144662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087975803","display_name":"Mulin Chen","orcid":"https://orcid.org/0000-0003-4634-3802"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mulin Chen","raw_affiliation_strings":["School of Computer Science and Center for Optical Imagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Shaanxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Center for Optical Imagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101692199","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0003-0445-5603"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["School of Computer Science and Center for Optical Imagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Shaanxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Center for Optical Imagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0932,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92255579,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"12","issue":"2","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"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":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693869948387146},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6750455498695374},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6390151977539062},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.620567262172699},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5817540287971497},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.521443784236908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5186935663223267},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4869876801967621},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.47490206360816956},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4733830988407135},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4676833748817444},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4168599545955658},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.41132932901382446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4003598690032959},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30599963665008545},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19000422954559326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.179383784532547},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.10081824660301208},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07156965136528015}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693869948387146},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6750455498695374},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6390151977539062},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.620567262172699},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5817540287971497},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.521443784236908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5186935663223267},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4869876801967621},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.47490206360816956},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4733830988407135},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4676833748817444},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4168599545955658},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.41132932901382446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4003598690032959},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30599963665008545},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19000422954559326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.179383784532547},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.10081824660301208},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07156965136528015},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2854000","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2854000","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},{"id":"pmh:oai:ir.opt.ac.cn:181661/28087","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/28087","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:ir.opt.ac.cn:181661/28087","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/28087","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/10","score":0.4000000059604645,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G7808086921","display_name":"\u57fa\u4e8e\u7acb\u4f53\u89c6\u89c9\u7684\u56fe\u50cf\u8bed\u4e49\u5206\u5272\u7814\u7a76","funder_award_id":"61105012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8718623183","display_name":null,"funder_award_id":"3102014JC02020G07 and 3102015BJ(II)JJZ01","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W47624021","https://openalex.org/W192919555","https://openalex.org/W1482815597","https://openalex.org/W1576328073","https://openalex.org/W1669622557","https://openalex.org/W1888172398","https://openalex.org/W1968073106","https://openalex.org/W1970206276","https://openalex.org/W1976977741","https://openalex.org/W1981724556","https://openalex.org/W1991598519","https://openalex.org/W1992812527","https://openalex.org/W1999073463","https://openalex.org/W1999679789","https://openalex.org/W2006719702","https://openalex.org/W2015410655","https://openalex.org/W2019530605","https://openalex.org/W2020895320","https://openalex.org/W2023048829","https://openalex.org/W2024387934","https://openalex.org/W2036721747","https://openalex.org/W2037865596","https://openalex.org/W2039313011","https://openalex.org/W2040395913","https://openalex.org/W2042015300","https://openalex.org/W2047499569","https://openalex.org/W2047617665","https://openalex.org/W2052375315","https://openalex.org/W2057067088","https://openalex.org/W2058295955","https://openalex.org/W2064698234","https://openalex.org/W2079023123","https://openalex.org/W2093796197","https://openalex.org/W2096606660","https://openalex.org/W2097490641","https://openalex.org/W2098333418","https://openalex.org/W2108404684","https://openalex.org/W2112164016","https://openalex.org/W2118246710","https://openalex.org/W2120362657","https://openalex.org/W2121839066","https://openalex.org/W2122075562","https://openalex.org/W2125095437","https://openalex.org/W2125105611","https://openalex.org/W2131791003","https://openalex.org/W2144713064","https://openalex.org/W2149021215","https://openalex.org/W2150312211","https://openalex.org/W2154455818","https://openalex.org/W2167052694","https://openalex.org/W2269007220","https://openalex.org/W2294706300","https://openalex.org/W2532516272","https://openalex.org/W2533619109","https://openalex.org/W2534527426","https://openalex.org/W2613433911","https://openalex.org/W3040777582","https://openalex.org/W4210700398","https://openalex.org/W4249502209","https://openalex.org/W4252959399","https://openalex.org/W4300070237"],"related_works":["https://openalex.org/W117517268","https://openalex.org/W2383239174","https://openalex.org/W2362829263","https://openalex.org/W3159953198","https://openalex.org/W2380477800","https://openalex.org/W2347974653","https://openalex.org/W2766342722","https://openalex.org/W2380996235","https://openalex.org/W49725993","https://openalex.org/W4234584818"],"abstract_inverted_index":{"Crowd":[0],"system":[1,77],"has":[2,50],"motivated":[3],"a":[4,43,75,99,132,161],"surge":[5],"of":[6,11,17,34,46,57,74,87,105,143,174],"interests":[7],"in":[8],"many":[9],"areas":[10],"multimedia,":[12],"as":[13,60],"it":[14,147],"contains":[15],"plenty":[16],"information":[18,142],"about":[19],"crowd":[20,23,76],"scenes.":[21],"In":[22,94],"systems,":[24],"individuals":[25,37,58,73,128,144,154],"tend":[26],"to":[27,53,69,91,148,164,192],"exhibit":[28],"collective":[29,40,47],"behaviors,":[30],"and":[31,78,145,181,197],"the":[32,55,72,81,122,127,140,150,167,172,179,187],"motion":[33],"all":[35],"those":[36],"is":[38,103,190],"called":[39],"motion.":[41],"As":[42],"comprehensive":[44],"descriptor":[45,163],"motion,":[48],"collectiveness":[49,107,119,196],"been":[51],"proposed":[52,188],"reflect":[54],"degree":[56],"moving":[59],"an":[61],"entirety.":[62],"Nevertheless,":[63],"existing":[64],"works":[65],"mostly":[66],"have":[67],"limitations":[68],"correctly":[70],"find":[71],"precisely":[79,130],"capture":[80],"various":[82],"relationships":[83],"between":[84,153],"individuals,":[85,169],"both":[86],"which":[88,170],"are":[89,112],"essential":[90],"measure":[92],"collectiveness.":[93,175],"this":[95],"article,":[96],"we":[97,115,137,159],"propose":[98,160],"collectiveness-measuring":[100],"method":[101,189],"that":[102,186],"capable":[104],"quantifying":[106],"accurately.":[108],"Our":[109],"main":[110],"contributions":[111],"threefold:":[113],"(1)":[114],"compute":[116,193],"relatively":[117,194],"accurate":[118,195],"by":[120,155],"making":[121],"tracked":[123],"feature":[124],"points":[125],"represent":[126],"more":[129],"with":[131,166,201],"point":[133],"selection":[134],"strategy;":[135],"(2)":[136],"jointly":[138],"investigate":[139],"spatial-temporal":[141],"utilize":[146],"characterize":[149],"topological":[151],"relationship":[152],"manifold":[156],"learning;":[157],"(3)":[158],"stability":[162],"deal":[165],"irregular":[168],"influence":[171],"calculation":[173],"Intensive":[176],"experiments":[177],"on":[178],"simulated":[180],"real":[182],"world":[183],"datasets":[184],"demonstrate":[185],"able":[191],"keep":[198],"high":[199],"consistency":[200],"human":[202],"perception.":[203]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":5}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}