{"id":"https://openalex.org/W4387735369","doi":"https://doi.org/10.1155/2023/6677622","title":"A Fusion\u2010Based Dense Crowd Counting Method for Multi\u2010Imaging Systems","display_name":"A Fusion\u2010Based Dense Crowd Counting Method for Multi\u2010Imaging Systems","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387735369","doi":"https://doi.org/10.1155/2023/6677622"},"language":"en","primary_location":{"id":"doi:10.1155/2023/6677622","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/6677622","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/6677622.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/ijis/2023/6677622.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100717976","display_name":"Jin Zhang","orcid":"https://orcid.org/0000-0002-4161-7694"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zhang","raw_affiliation_strings":["School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011","School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011, China"],"affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047956650","display_name":"Luqin Ye","orcid":"https://orcid.org/0000-0003-3247-465X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luqin Ye","raw_affiliation_strings":["School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011","School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011, China"],"affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101605865","display_name":"Jiajia Wu","orcid":"https://orcid.org/0000-0001-7667-4878"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Wu","raw_affiliation_strings":["School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011","School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011, China"],"affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110359641","display_name":"Dan Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Sun","raw_affiliation_strings":["School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011","School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011, China"],"affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082280574","display_name":"Cheng Wu","orcid":"https://orcid.org/0000-0001-5451-3045"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Wu","raw_affiliation_strings":["School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011","School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011, China"],"affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Rail Transportation, Soochow University, 8 Jixue Road, Suzhou 215011, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082280574"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":0.2435,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53601496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2023","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.9907000064849854,"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":0.762846827507019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6769196391105652},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5575818419456482},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.4828203618526459},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41704052686691284},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4154992997646332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36524486541748047},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3324100971221924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.762846827507019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6769196391105652},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5575818419456482},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.4828203618526459},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41704052686691284},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4154992997646332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36524486541748047},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3324100971221924},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/2023/6677622","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/6677622","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/6677622.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/2023/6677622","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/6677622","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/6677622.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1786184346","display_name":null,"funder_award_id":"62201372","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4146166247","display_name":null,"funder_award_id":"SZZG06YJ6000017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6600684821","display_name":null,"funder_award_id":"62275186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7174558747","display_name":null,"funder_award_id":"Group","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7826183475","display_name":null,"funder_award_id":"SZYX2018-Y-C-002","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"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387735369.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1582696231","https://openalex.org/W1686810756","https://openalex.org/W1978531778","https://openalex.org/W1991798049","https://openalex.org/W2011285823","https://openalex.org/W2029514914","https://openalex.org/W2036549113","https://openalex.org/W2072232009","https://openalex.org/W2463631526","https://openalex.org/W2511791013","https://openalex.org/W2519281173","https://openalex.org/W2604157075","https://openalex.org/W2798490576","https://openalex.org/W2798781811","https://openalex.org/W2884585870","https://openalex.org/W2886443245","https://openalex.org/W2895051362","https://openalex.org/W2922282711","https://openalex.org/W2945574898","https://openalex.org/W2955171701","https://openalex.org/W2961566087","https://openalex.org/W2963035940","https://openalex.org/W2964209782","https://openalex.org/W2967113136","https://openalex.org/W2967776630","https://openalex.org/W2981436300","https://openalex.org/W2997135920","https://openalex.org/W3017001049","https://openalex.org/W3117941406","https://openalex.org/W3120048558","https://openalex.org/W3170335739","https://openalex.org/W3175557814","https://openalex.org/W3175657805","https://openalex.org/W3176047859","https://openalex.org/W4207050521","https://openalex.org/W4249517170","https://openalex.org/W4281743493","https://openalex.org/W4282939170","https://openalex.org/W4296739197","https://openalex.org/W4312279376","https://openalex.org/W4312379180","https://openalex.org/W4313281881","https://openalex.org/W4317889718","https://openalex.org/W4320087013","https://openalex.org/W4322489886","https://openalex.org/W4323669573","https://openalex.org/W4366378414","https://openalex.org/W4377696102","https://openalex.org/W4385252090"],"related_works":["https://openalex.org/W2521519254","https://openalex.org/W3139833644","https://openalex.org/W3121651473","https://openalex.org/W3123110765","https://openalex.org/W4383553409","https://openalex.org/W2104948296","https://openalex.org/W1735800226","https://openalex.org/W4285172739","https://openalex.org/W3123208392","https://openalex.org/W4372316851"],"abstract_inverted_index":{"Dense":[0],"crowd":[1,14,40,47,87,125,135],"counting":[2,15,48,136],"has":[3,144],"become":[4],"an":[5,70],"essential":[6],"technology":[7],"for":[8,59],"urban":[9],"security":[10],"management.":[11],"The":[12],"traditional":[13],"methods":[16],"mainly":[17],"apply":[18],"to":[19,76,104,133],"the":[20,32,94,106,110,114,123,128],"scene":[21],"with":[22,34],"a":[23,35,46,65,78,83,90],"single":[24],"view":[25,55,85],"and":[26,38,53,61,86,97,127,143],"obvious":[27],"features":[28],"but":[29],"cannot":[30],"solve":[31],"problem":[33],"large":[36,60],"area":[37],"fuzzy":[39],"features.":[41],"Therefore,":[42],"this":[43],"paper":[44],"proposes":[45],"method":[49],"based":[50,68],"on":[51,69],"high":[52,84],"low":[54,91],"information":[56],"fusion":[57],"(HLIF)":[58],"complex":[62],"scenes.":[63],"First,":[64],"neural":[66],"network":[67],"attention":[71],"mechanism":[72],"(AMNet)":[73],"is":[74,119,139],"established":[75],"obtain":[77],"global":[79],"density":[80,130],"map":[81],"from":[82,89],"counts":[88,126],"view.":[92],"Then,":[93],"temporal":[95],"correlation":[96],"spatial":[98],"complementarity":[99],"between":[100],"cameras":[101],"are":[102],"used":[103],"calibrate":[105],"overlap":[107],"areas":[108],"of":[109,117],"two":[111],"images.":[112],"Finally,":[113],"total":[115],"number":[116],"people":[118],"calculated":[120],"by":[121],"combining":[122],"low\u2010view":[124],"high\u2010view":[129],"map.":[131],"Compared":[132],"single\u2010view":[134],"methods,":[137],"HLIF":[138],"experimentally":[140],"more":[141],"accurate":[142],"been":[145],"successfully":[146],"applied":[147],"in":[148],"practice.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}