{"id":"https://openalex.org/W4394597366","doi":"https://doi.org/10.1109/wacv57701.2024.00579","title":"You Can Run but not Hide: Improving Gait Recognition with Intrinsic Occlusion Type Awareness","display_name":"You Can Run but not Hide: Improving Gait Recognition with Intrinsic Occlusion Type Awareness","publication_year":2024,"publication_date":"2024-01-03","ids":{"openalex":"https://openalex.org/W4394597366","doi":"https://doi.org/10.1109/wacv57701.2024.00579"},"language":"en","primary_location":{"id":"doi:10.1109/wacv57701.2024.00579","doi":"https://doi.org/10.1109/wacv57701.2024.00579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv57701.2024.00579","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"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":"2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2312.02290","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022676725","display_name":"Ayush Gupta","orcid":"https://orcid.org/0000-0003-0935-9207","observed_orcids":["https://orcid.org/0000-0003-0935-9207"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayush Gupta","raw_affiliation_strings":["Johns Hopkins University,Baltimore,MD,21218"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Baltimore,MD,21218","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650","observed_orcids":["https://orcid.org/0000-0002-7638-1650"]},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rama Chellappa","raw_affiliation_strings":["Johns Hopkins University,Baltimore,MD,21218"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Baltimore,MD,21218","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":21.6633,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.9977527,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5881","last_page":"5890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9994999766349792,"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":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","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"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/gait-recognition","display_name":"gait recognition","score":0.9990000128746033},{"id":"https://openalex.org/keywords/occlusion","display_name":"occlusion","score":0.7879999876022339}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6216555237770081},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.539781928062439},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5041247606277466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45559361577033997},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.3880265951156616},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3378652334213257},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07853654026985168}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wacv57701.2024.00579","doi":"https://doi.org/10.1109/wacv57701.2024.00579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv57701.2024.00579","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"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":"2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2312.02290","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.02290","pdf_url":"https://arxiv.org/pdf/2312.02290","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2312.02290","doi":"https://doi.org/10.48550/arxiv.2312.02290","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2312.02290","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2312.02290","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.02290","pdf_url":"https://arxiv.org/pdf/2312.02290","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320312530","display_name":"Office of the Director of National Intelligence","ror":"https://ror.org/01v3fsc55"},{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394597366.pdf","grobid_xml":"https://content.openalex.org/works/W4394597366.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1516635831","https://openalex.org/W1522301498","https://openalex.org/W1984031350","https://openalex.org/W1991452654","https://openalex.org/W2018331988","https://openalex.org/W2104335344","https://openalex.org/W2108899564","https://openalex.org/W2120861453","https://openalex.org/W2126680226","https://openalex.org/W2160423616","https://openalex.org/W2235916736","https://openalex.org/W2482059284","https://openalex.org/W2798405286","https://openalex.org/W2963216120","https://openalex.org/W2964201641","https://openalex.org/W2990744528","https://openalex.org/W3003659545","https://openalex.org/W3035400973","https://openalex.org/W3129915554","https://openalex.org/W3163611742","https://openalex.org/W3177525997","https://openalex.org/W3201864842","https://openalex.org/W3203532213","https://openalex.org/W3211333906","https://openalex.org/W4214564952","https://openalex.org/W4292793985","https://openalex.org/W4315630867","https://openalex.org/W4319299883","https://openalex.org/W4319336451","https://openalex.org/W4321020769","https://openalex.org/W4323644429","https://openalex.org/W4323647378","https://openalex.org/W4385489997","https://openalex.org/W4386065354","https://openalex.org/W4403758820"],"related_works":["https://openalex.org/W4403511037","https://openalex.org/W7133326020","https://openalex.org/W4315630867","https://openalex.org/W4385488668","https://openalex.org/W4409262149","https://openalex.org/W4321231182","https://openalex.org/W4395057303","https://openalex.org/W7129001622","https://openalex.org/W4403081613","https://openalex.org/W7148646646"],"abstract_inverted_index":{"While":[0],"gait":[1,23,54,71,114,130],"recognition":[2,24,39,115,131,153],"has":[3,13],"seen":[4],"many":[5],"advances":[6],"in":[7,85,106],"recent":[8],"years,":[9],"the":[10,38,45,53,59,86,95,136],"occlusion":[11,97,112,124,148],"problem":[12,18],"largely":[14],"been":[15],"ignored.":[16],"This":[17],"is":[19],"especially":[20],"important":[21],"for":[22,78],"from":[25,103],"uncontrolled":[26],"outdoor":[27],"sequences":[28],"at":[29,88,152],"range":[30],"-":[31],"since":[32],"any":[33,128],"small":[34],"obstruction":[35],"can":[36,118],"affect":[37],"system.":[40],"Most":[41],"current":[42],"methods":[43,64],"assume":[44],"availability":[46],"of":[47,58],"complete":[48],"body":[49,60,79],"information":[50],"while":[51,99],"extracting":[52,100],"features.":[55],"When":[56],"parts":[57,80],"are":[61,82],"occluded,":[62],"these":[63],"may":[65],"hallucinate":[66],"and":[67,139],"output":[68],"a":[69],"corrupted":[70],"signature":[72],"as":[73],"they":[74],"try":[75],"to":[76,121],"look":[77],"which":[81,117],"not":[83],"present":[84],"input":[87],"all.":[89],"To":[90],"address":[91],"this,":[92],"we":[93,109],"exploit":[94],"learned":[96],"type":[98],"identity":[101],"features":[102],"videos.":[104],"Thus,":[105],"this":[107,147],"work,":[108],"propose":[110],"an":[111],"aware":[113],"method":[116],"be":[119],"used":[120],"model":[122],"intrinsic":[123],"awareness":[125,149],"into":[126],"potentially":[127],"state-of-the-art":[129],"method.":[132],"Our":[133],"experiments":[134],"on":[135,159],"challenging":[137],"GREW":[138],"BRIAR":[140],"datasets":[141],"show":[142],"that":[143],"networks":[144],"enhanced":[145],"with":[146],"perform":[150],"better":[151],"tasks":[154],"than":[155],"their":[156],"counterparts":[157],"trained":[158],"similar":[160],"occlusions.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2024-04-10T00:00:00"}