{"id":"https://openalex.org/W3007118517","doi":"https://doi.org/10.1109/icsai48974.2019.9010125","title":"Improve Crowd Size Estimation by Leveraging Deformable Convolutional Neural Network and Deformable Region of Interest","display_name":"Improve Crowd Size Estimation by Leveraging Deformable Convolutional Neural Network and Deformable Region of Interest","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3007118517","doi":"https://doi.org/10.1109/icsai48974.2019.9010125","mag":"3007118517"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064436817","display_name":"Lubamba Kasangu Eric","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lubamba Kasangu Eric","raw_affiliation_strings":["School of Computer Science and Communication, Engineering Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication, Engineering Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031785768","display_name":"Kevang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kevang Cheng","raw_affiliation_strings":["School of Computer Science and Communication, Engineering Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication, Engineering Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102708137","display_name":"Rabia Tahir","orcid":"https://orcid.org/0000-0001-9625-4125"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rabia Tahir","raw_affiliation_strings":["School of Computer Science and Communication, Engineering Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication, Engineering Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031422723","display_name":"Mohammad Saddam Khokhar","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohammad Saddam Khokhar","raw_affiliation_strings":["School of Computer Science and Communication, Engineering Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication, Engineering Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":0.183,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54102076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"11209","issue":null,"first_page":"872","last_page":"877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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":0.9975000023841858,"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":0.98089998960495,"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"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9761999845504761,"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/computer-science","display_name":"Computer science","score":0.80042564868927},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7776529788970947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6442340612411499},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4902799427509308},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43975111842155457},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06114232540130615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80042564868927},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7776529788970947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6442340612411499},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4902799427509308},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43975111842155457},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06114232540130615},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2013039598","https://openalex.org/W2072232009","https://openalex.org/W2145983039","https://openalex.org/W2463631526","https://openalex.org/W2601564443","https://openalex.org/W2741077351","https://openalex.org/W2895051362","https://openalex.org/W2962720716","https://openalex.org/W2963035940","https://openalex.org/W2963717945","https://openalex.org/W2963977226","https://openalex.org/W2964209782","https://openalex.org/W4289678532","https://openalex.org/W6681368121","https://openalex.org/W6753789716"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Either":[0],"in":[1,48,83,134],"still":[2,51],"image":[3],"or":[4],"sequence":[5],"images":[6],"(video),":[7],"counting":[8,43],"is":[9,80],"a":[10,56,86,92],"challenging":[11],"task":[12],"due":[13],"to":[14,39,142],"many":[15],"factors":[16],"such":[17],"as:":[18],"scale":[19],"variations,":[20],"crowded":[21],"scene,":[22],"lighting,":[23],"orientation,":[24],"camera":[25],"position":[26],"and":[27,44,70,91,124],"pedestrian":[28],"appearance.":[29],"Despite":[30],"the":[31,122,135],"fact":[32],"that":[33],"practitioners":[34],"have":[35],"applied":[36],"deep":[37],"network":[38,123],"deal":[40],"with":[41,62,106],"crowd":[42],"its":[45],"increase":[46],"gain":[47],"momentum,":[49],"challenges":[50],"remain.":[52],"Therefore,":[53],"we":[54,102],"propose":[55],"new":[57],"model":[58,79,137],"for":[59,88,129],"Crowd":[60],"Estimation":[61],"help":[63],"of":[64,73,109,121,126],"Deformable":[65,71,107],"Convolutional":[66],"Neural":[67],"Network":[68],"(DCN)":[69],"Region":[72,108],"Interest":[74,110],"(DRoI)":[75],"pooling.":[76],"The":[77,112],"proposed":[78,136],"mainly":[81],"divided":[82],"two":[84],"blocks:":[85],"front-end":[87],"feature":[89],"extraction":[90],"back-end":[93],"comprised":[94],"by":[95],"larger":[96],"reception":[97],"fields.":[98],"In":[99],"both":[100],"blocks,":[101],"replaced":[103],"standard":[104],"pooling":[105],"Pooling.":[111],"experiment":[113],"results":[114],"show":[115],"better":[116],"accuracy":[117],"performance,":[118],"cost":[119],"effectiveness":[120],"robustness":[125],"our":[127],"model,":[128],"less":[130],"parameters":[131],"are":[132],"employed":[133],"during":[138],"training":[139],"as":[140],"compared":[141],"previous":[143],"models.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
