{"id":"https://openalex.org/W2588177695","doi":"https://doi.org/10.18293/dms2016-019","title":"Novel Group Detection and Analysis Method Based on Automatic and Fast Density Clustering","display_name":"Novel Group Detection and Analysis Method Based on Automatic and Fast Density Clustering","publication_year":2016,"publication_date":"2016-11-25","ids":{"openalex":"https://openalex.org/W2588177695","doi":"https://doi.org/10.18293/dms2016-019","mag":"2588177695"},"language":"en","primary_location":{"id":"doi:10.18293/dms2016-019","is_oa":true,"landing_page_url":"http://doi.org/10.18293/dms2016-019","pdf_url":"https://doi.org/10.18293/dms2016-019","source":{"id":"https://openalex.org/S4386872205","display_name":"Proceedings","issn_l":"2326-3261","issn":["2326-3261"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Distributed Multimedia Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.18293/dms2016-019","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007723033","display_name":"Weiwei Xing","orcid":"https://orcid.org/0000-0002-6378-926X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwei Xing","raw_affiliation_strings":["School of Software Engineering Beijing Jiaotong University Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering Beijing Jiaotong University Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062408881","display_name":"\u514b\u5df1 \u963f\u4e45\u6d25","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Jin","raw_affiliation_strings":["School of Software Engineering Beijing Jiaotong University Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering Beijing Jiaotong University Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101687575","display_name":"Peng Bao","orcid":"https://orcid.org/0000-0002-1761-3060"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Bao","raw_affiliation_strings":["School of Software Engineering Beijing Jiaotong University Beijing 100044, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering Beijing Jiaotong University Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007723033"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09333951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2016","issue":null,"first_page":"77","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.716124415397644},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.7062814235687256},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7029173374176025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6616577506065369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4970133602619171},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49551594257354736},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4601190388202667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40803349018096924},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3493920564651489},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32184621691703796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16925525665283203},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08785992860794067}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.716124415397644},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.7062814235687256},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7029173374176025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6616577506065369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4970133602619171},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49551594257354736},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4601190388202667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40803349018096924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3493920564651489},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32184621691703796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16925525665283203},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08785992860794067},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/dms2016-019","is_oa":true,"landing_page_url":"http://doi.org/10.18293/dms2016-019","pdf_url":"https://doi.org/10.18293/dms2016-019","source":{"id":"https://openalex.org/S4386872205","display_name":"Proceedings","issn_l":"2326-3261","issn":["2326-3261"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Distributed Multimedia Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18293/dms2016-019","is_oa":true,"landing_page_url":"http://doi.org/10.18293/dms2016-019","pdf_url":"https://doi.org/10.18293/dms2016-019","source":{"id":"https://openalex.org/S4386872205","display_name":"Proceedings","issn_l":"2326-3261","issn":["2326-3261"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conferences on Distributed Multimedia Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2479186882","display_name":null,"funder_award_id":"2014JBZ004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2895212994","display_name":null,"funder_award_id":"NCET-13","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G3545366178","display_name":null,"funder_award_id":"61272353","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3674604968","display_name":null,"funder_award_id":"YETP0583","funder_id":"https://openalex.org/F4320335442","funder_display_name":"Beijing Higher Education Young Elite Teacher Project"},{"id":"https://openalex.org/G3861849388","display_name":null,"funder_award_id":"61100143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4338144938","display_name":null,"funder_award_id":"NCET-13-0659","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G7835464681","display_name":null,"funder_award_id":"61370128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8388280645","display_name":null,"funder_award_id":"NCET-13-","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G8548980490","display_name":null,"funder_award_id":"13-0659","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G877393814","display_name":null,"funder_award_id":"NCET-13","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320335442","display_name":"Beijing Higher Education Young Elite Teacher Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2588177695.pdf","grobid_xml":"https://content.openalex.org/works/W2588177695.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W11618421","https://openalex.org/W47624021","https://openalex.org/W100367037","https://openalex.org/W1496571393","https://openalex.org/W1576328073","https://openalex.org/W1886885333","https://openalex.org/W1965454832","https://openalex.org/W1981724556","https://openalex.org/W1994987524","https://openalex.org/W2015410655","https://openalex.org/W2023048829","https://openalex.org/W2033403400","https://openalex.org/W2036721747","https://openalex.org/W2042015300","https://openalex.org/W2046082958","https://openalex.org/W2047499569","https://openalex.org/W2054248557","https://openalex.org/W2055548668","https://openalex.org/W2067467244","https://openalex.org/W2079023123","https://openalex.org/W2089584121","https://openalex.org/W2105269163","https://openalex.org/W2107887685","https://openalex.org/W2108404684","https://openalex.org/W2121839066","https://openalex.org/W2162616721","https://openalex.org/W2164047143","https://openalex.org/W2164372777","https://openalex.org/W2164489414","https://openalex.org/W2165835468","https://openalex.org/W2765238769","https://openalex.org/W3040777582","https://openalex.org/W4244030505","https://openalex.org/W4250313873","https://openalex.org/W6639381921","https://openalex.org/W6661002043","https://openalex.org/W6664222481","https://openalex.org/W6670381152","https://openalex.org/W6677748110","https://openalex.org/W6828915790"],"related_works":["https://openalex.org/W4240200267","https://openalex.org/W1511510665","https://openalex.org/W2154955495","https://openalex.org/W1524661185","https://openalex.org/W2078823605","https://openalex.org/W2500095415","https://openalex.org/W2097922264","https://openalex.org/W1997780040","https://openalex.org/W2282342021","https://openalex.org/W4233026749"],"abstract_inverted_index":{"Group-level":[0],"crowd":[1,30,49,154,157],"behavior":[2],"analysis":[3],"is":[4,67,75,89,104,150],"a":[5,22,26,29,39,45,48,53,138,141],"new":[6],"and":[7,17,41,51,55,62,97,127,156],"promising":[8],"method":[9,88,121],"with":[10,94,106],"important":[11],"applications":[12],"for":[13,25,44],"the":[14,71,80,101,120,133],"video":[15,113],"surveillance":[16],"understanding":[18,153],"of":[19,82,112,115,135],"crowds.":[20],"However,":[21],"specific":[23],"definition":[24,43],"group":[27,46,57,72,102,139],"in":[28,47,137],"field":[31,50],"has":[32],"rarely":[33],"been":[34],"investigated.":[35],"This":[36,86],"paper":[37],"proposes":[38],"complete":[40],"reasonable":[42],"presents":[52],"fast":[54,63],"automatic":[56,61],"detection":[58,87,125],"method.":[59],"First,":[60],"density":[64],"clustering":[65],"(AFDC)":[66],"used":[68],"to":[69,92,152],"find":[70],"core,":[73],"which":[74],"then":[76],"refined":[77,105],"based":[78],"on":[79,110],"property":[81],"coherent":[83,107],"neighbor":[84],"invariance.":[85],"more":[90],"adaptive":[91],"groups":[93],"arbitrary":[95],"shapes":[96],"varying":[98],"densities":[99],"because":[100],"core":[103],"neighbors.":[108],"Experiments":[109],"hundreds":[111],"clips":[114],"public":[116],"scenes":[117,155],"showed":[118],"that":[119],"achieved":[122],"an":[123,146],"excellent":[124],"performance":[126],"attractive":[128],"statistical":[129],"results.":[130],"In":[131],"particular,":[132],"number":[134],"people":[136],"exhibits":[140],"power-law":[142],"distribution":[143],"truncated":[144],"by":[145],"exponential":[147],"tail;":[148],"this":[149],"significant":[151],"simulation.":[158]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
