{"id":"https://openalex.org/W4388240392","doi":"https://doi.org/10.1109/access.2023.3329985","title":"Transformer-Based Feature Aggregation and Stitching Network for Crowd Counting","display_name":"Transformer-Based Feature Aggregation and Stitching Network for Crowd Counting","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388240392","doi":"https://doi.org/10.1109/access.2023.3329985"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3329985","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3329985","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10305591.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10305591.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005823613","display_name":"Kehao Wang","orcid":"https://orcid.org/0000-0001-9843-8104"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4210123088","display_name":"Wuhan Technology and Business University","ror":"https://ror.org/0348f9w08","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123088"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kehao Wang","raw_affiliation_strings":["College of Artificial Intelligence, Wuhan Technology and Business University, Wuhan, China","School of Information Engineering, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9843-8104","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Wuhan Technology and Business University, Wuhan, China","institution_ids":["https://openalex.org/I4210123088"]},{"raw_affiliation_string":"School of Information Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330357","display_name":"Yuhui Wang","orcid":"https://orcid.org/0000-0002-0502-7486"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Wang","raw_affiliation_strings":["School of Information Engineering, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076915758","display_name":"Ruiqi Ren","orcid":"https://orcid.org/0000-0002-6225-6605"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqi Ren","raw_affiliation_strings":["School of Information Engineering, Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010994718","display_name":"Han Zou","orcid":"https://orcid.org/0000-0001-7472-5192"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zou","raw_affiliation_strings":["School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041940743","display_name":"Zhichao Shao","orcid":"https://orcid.org/0000-0002-4243-5681"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Shao","raw_affiliation_strings":["Army Engineering University of PLA, Wuhan, China","The Army Engineering University of PLA, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University of PLA, Wuhan, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"The Army Engineering University of PLA, Wuhan, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5614,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68774837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"124833","last_page":"124844"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"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":0.9958000183105469,"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/image-stitching","display_name":"Image stitching","score":0.8662592172622681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7660850286483765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6726998686790466},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5981347560882568},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5780723094940186},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5387810468673706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49143874645233154},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47525331377983093},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.45164060592651367},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4286154508590698},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07772752642631531}],"concepts":[{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.8662592172622681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660850286483765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6726998686790466},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5981347560882568},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5780723094940186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5387810468673706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49143874645233154},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47525331377983093},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.45164060592651367},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4286154508590698},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07772752642631531},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3329985","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3329985","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10305591.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0b3ca04927864d6d86964756a62a11f9","is_oa":true,"landing_page_url":"https://doaj.org/article/0b3ca04927864d6d86964756a62a11f9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 124833-124844 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3329985","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3329985","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10305591.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1693347154","display_name":null,"funder_award_id":"62371353","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2395021404","display_name":null,"funder_award_id":"62172321","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388240392.pdf","grobid_xml":"https://content.openalex.org/works/W4388240392.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W2037724972","https://openalex.org/W2072232009","https://openalex.org/W2098667993","https://openalex.org/W2123175289","https://openalex.org/W2463631526","https://openalex.org/W2541389513","https://openalex.org/W2798490576","https://openalex.org/W2810751829","https://openalex.org/W2886443245","https://openalex.org/W2895051362","https://openalex.org/W2922295717","https://openalex.org/W2945574898","https://openalex.org/W2948513880","https://openalex.org/W2962720716","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963893037","https://openalex.org/W2964209782","https://openalex.org/W2966271765","https://openalex.org/W2969079301","https://openalex.org/W2969620138","https://openalex.org/W2981766846","https://openalex.org/W2981918755","https://openalex.org/W2982007926","https://openalex.org/W2982130202","https://openalex.org/W2995582330","https://openalex.org/W2997138427","https://openalex.org/W2997403460","https://openalex.org/W3007175960","https://openalex.org/W3012399797","https://openalex.org/W3015346580","https://openalex.org/W3034785991","https://openalex.org/W3035193053","https://openalex.org/W3035307763","https://openalex.org/W3035925134","https://openalex.org/W3081099313","https://openalex.org/W3087861058","https://openalex.org/W3089263927","https://openalex.org/W3096609285","https://openalex.org/W3097407159","https://openalex.org/W3101415077","https://openalex.org/W3106250896","https://openalex.org/W3109272290","https://openalex.org/W3121523901","https://openalex.org/W3122239467","https://openalex.org/W3126263946","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3176458063","https://openalex.org/W3189653508","https://openalex.org/W4205890571","https://openalex.org/W4206706211","https://openalex.org/W4207050521","https://openalex.org/W4225264236","https://openalex.org/W4281743493","https://openalex.org/W4282939170","https://openalex.org/W4292859076","https://openalex.org/W4296739197","https://openalex.org/W4299802238","https://openalex.org/W4313281881","https://openalex.org/W4317889718","https://openalex.org/W4322489886","https://openalex.org/W4323669573","https://openalex.org/W4366378414","https://openalex.org/W4377696102","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6763278908","https://openalex.org/W6769955919","https://openalex.org/W6778485988","https://openalex.org/W6783507135","https://openalex.org/W6784094891","https://openalex.org/W6785652829","https://openalex.org/W6785665406"],"related_works":["https://openalex.org/W68020613","https://openalex.org/W1973382465","https://openalex.org/W4255291540","https://openalex.org/W3134240150","https://openalex.org/W2091466534","https://openalex.org/W4387591196","https://openalex.org/W4392793652","https://openalex.org/W4399199700","https://openalex.org/W172825421","https://openalex.org/W4309346246"],"abstract_inverted_index":{"With":[0],"the":[1,20,92,109,118,123,127,134,145,157,164,170,177,185,195,209],"rapid":[2],"development":[3],"of":[4,25,39,122,159,211],"society,":[5],"crowded":[6,29],"scenes":[7],"can":[8],"be":[9],"seen":[10],"almost":[11],"everywhere.":[12],"Therefore,":[13],"it":[14],"is":[15,141],"important":[16],"to":[17,97,143,182],"accurately":[18],"predict":[19],"number":[21],"and":[22,77,94,102,125,147,150,161,169],"density":[23,83,167],"distribution":[24,84],"people":[26],"in":[27,72,85,133],"those":[28,40],"regions":[30],"by":[31,191],"utilizing":[32],"image":[33,50,192],"analysis.":[34],"In":[35,87,173],"recent":[36],"years,":[37],"most":[38],"studies":[41],"based":[42,54],"on":[43,55,201],"various":[44],"deep":[45,135,146],"learning":[46],"technologies":[47],"for":[48,82],"pedestrian":[49],"analysis":[51],"have":[52],"been":[53],"mature":[56],"convolution":[57],"neural":[58],"networks":[59],"(CNN).":[60],"Nowadays,":[61],"vision":[62,75,114],"transformer":[63,115],"has":[64],"demonstrated":[65],"its":[66],"competitive":[67],"performance":[68],"compared":[69],"with":[70,184],"CNNs":[71],"many":[73],"computer":[74],"domains,":[76],"provides":[78],"a":[79,99],"novel":[80],"idea":[81],"image.":[86],"this":[88],"paper,":[89],"we":[90,175],"modify":[91],"Swin-Transformer":[93],"integrate":[95],"CNN":[96],"propose":[98,176],"feature":[100,186],"aggregation":[101],"stitching":[103],"network":[104],"(FASNet),":[105],"which":[106],"effectively":[107],"improves":[108],"counting":[110],"accuracy.":[111],"The":[112,198],"hierarchical":[113],"backbone":[116],"captures":[117],"global":[119],"multi-scale":[120],"features":[121],"image,":[124],"encode":[126],"interaction":[128],"information":[129],"among":[130],"different":[131],"pedestrians":[132],"network.":[136],"Feature":[137,178],"Aggregation":[138],"Module":[139,154],"(FAM)":[140],"used":[142],"fuse":[144],"shallow":[148],"features,":[149],"then":[151],"Density":[152],"Regression":[153],"(DRM)":[155],"upsamples":[156],"output":[158],"FAM":[160],"finally":[162],"produces":[163],"predicted":[165],"crowd":[166],"map":[168],"final":[171],"count.":[172],"addition,":[174],"Stitching":[179],"Mechanism":[180],"(FSM)":[181],"cope":[183],"damage":[187],"or":[188],"loss":[189],"caused":[190],"cropping":[193],"during":[194],"model":[196],"testing.":[197],"experimental":[199],"results":[200],"three":[202],"benchmark":[203],"datasets":[204],"(UCF_CC_50,":[205],"UCF_QNRF,":[206],"Shanghaitech)":[207],"demonstrate":[208],"effectiveness":[210],"our":[212],"proposed":[213],"scheme.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
