{"id":"https://openalex.org/W4416250136","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227257","title":"GaitSE: Gait Recognition with Enhanced Spatial Extraction Capability","display_name":"GaitSE: Gait Recognition with Enhanced Spatial Extraction Capability","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250136","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227257"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":null,"display_name":"Kewen Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kewen Dong","raw_affiliation_strings":["Hebei Normal University,College of Software,Shijiazhuang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Normal University,College of Software,Shijiazhuang,China","institution_ids":["https://openalex.org/I94611258"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101520365","display_name":"Zhijun Zhao","orcid":"https://orcid.org/0000-0002-6699-8702"},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijun Zhao","raw_affiliation_strings":["Hebei Normal University,College of Software,Shijiazhuang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Normal University,College of Software,Shijiazhuang,China","institution_ids":["https://openalex.org/I94611258"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100357315","display_name":"Jiayi Zhang","orcid":"https://orcid.org/0009-0001-0726-0126"},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Zhang","raw_affiliation_strings":["Hebei Normal University,College of Software,Shijiazhuang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Normal University,College of Software,Shijiazhuang,China","institution_ids":["https://openalex.org/I94611258"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94611258"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":9.999999747378752e-05,"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/silhouette","display_name":"Silhouette","score":0.8593999743461609},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6820999979972839},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6299999952316284},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5856000185012817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5787000060081482},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4345000088214874},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4147999882698059}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.8593999743461609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8288000226020813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699400007724762},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6970999836921692},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6820999979972839},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6299999952316284},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5856000185012817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5787000060081482},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4147999882698059},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.40310001373291016},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.37880000472068787},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.2754000127315521},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.27160000801086426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2104335344","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2598666589","https://openalex.org/W2752782242","https://openalex.org/W2788751553","https://openalex.org/W2963180826","https://openalex.org/W2963301258","https://openalex.org/W2964350391","https://openalex.org/W2967515867","https://openalex.org/W2977530922","https://openalex.org/W2981609437","https://openalex.org/W3035400973","https://openalex.org/W3128064349","https://openalex.org/W3138516171","https://openalex.org/W3195852174","https://openalex.org/W3201864842","https://openalex.org/W4214564952","https://openalex.org/W4225145979","https://openalex.org/W4226334005","https://openalex.org/W4308238328","https://openalex.org/W4312443924","https://openalex.org/W4312652114","https://openalex.org/W4385488668","https://openalex.org/W4386065354","https://openalex.org/W4386076105","https://openalex.org/W4387369035","https://openalex.org/W4390872631","https://openalex.org/W4390872881","https://openalex.org/W4392411846"],"related_works":[],"abstract_inverted_index":{"Gait":[0],"recognition":[1,65],"is":[2,92,117],"a":[3,9,63,114,141],"method":[4,15,66,178],"of":[5,25,41,98],"person":[6],"identification":[7],"at":[8],"distance":[10],"through":[11],"vision":[12],"technology.":[13],"The":[14],"performs":[16],"effective":[17,180],"information":[18,131],"extraction":[19,71],"by":[20,133],"analyzing":[21],"the":[22,35,39,49,54,75,87,96,110,129,151,159,164],"contour":[23,143,156],"changes":[24],"pedestrians":[26],"during":[27],"movement.":[28],"Low-quality":[29],"silhouettes":[30],"are":[31],"inevitably":[32],"present":[33],"in":[34,119,158],"sequences":[36],"due":[37],"to":[38,45,102,109,121,127,154,163],"tendency":[40],"gait":[42,64,186],"silhouette":[43],"data":[44],"shape":[46],"features":[47],"and":[48,80,194],"outdoor":[50,185],"environment\u2019s":[51],"discomfort":[52],"with":[53,68,168],"original":[55],"segmentation":[56],"method.":[57],"In":[58,137],"this":[59],"paper,":[60],"we":[61,139],"propose":[62,140],"GaitSE":[67,188],"enhanced":[69],"spatial":[70],"capability,":[72],"which":[73,147],"combines":[74],"Global":[76],"View":[77],"Capture":[78],"Module(GCM)":[79],"Contour":[81],"Multi-Frame":[82],"Attention":[83],"(CMFA)":[84],"mechanism.":[85],"First,":[86],"global":[88,111],"view":[89],"capture":[90,128],"module":[91],"constructed":[93],"based":[94],"on":[95,182,192,196],"concept":[97],"large":[99,134],"convolutional":[100,125,135],"kernels":[101,126],"obtain":[103],"an":[104],"Effective":[105],"Receptive":[106],"Field(ERF)":[107],"close":[108],"one.":[112],"Specifically,":[113],"reparameterization":[115],"approach":[116],"used":[118],"GCM":[120],"fuse":[122],"multi-scales":[123],"dilated":[124],"fine-grained":[130],"ignored":[132],"kernels.":[136],"addition,":[138],"novel":[142],"multi-frame":[144],"attention":[145,153],"mechanism,":[146],"can":[148],"adaptively":[149],"adjust":[150],"model\u2019s":[152],"different":[155],"frames":[157],"same":[160],"sequence":[161],"according":[162],"input":[165],"data,":[166],"thus":[167],"obtaining":[169],"more":[170],"discriminative":[171],"features.":[172],"Experiments":[173],"show":[174],"that":[175],"our":[176],"proposed":[177],"produces":[179],"boosts":[181],"all":[183],"popular":[184],"datasets.":[187],"achieves":[189],"73.1%":[190],"accuracy":[191],"Gait3D":[193],"71.6%":[195],"GREW.":[197]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}
