{"id":"https://openalex.org/W2036427091","doi":"https://doi.org/10.1109/icip.2007.4378964","title":"Gait Recognition Based on Human Body Components","display_name":"Gait Recognition Based on Human Body Components","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2036427091","doi":"https://doi.org/10.1109/icip.2007.4378964","mag":"2036427091"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4378964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4378964","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"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":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"article","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/A5049494866","display_name":"Nikolaos V. Boulgouris","orcid":"https://orcid.org/0000-0002-5382-6856"},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]},{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Nikolaos V. Boulgouris","raw_affiliation_strings":["Department of Electronic Engineering, King''s College, UK","King's Coll. London, London#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, King''s College, UK","institution_ids":["https://openalex.org/I4210119896"]},{"raw_affiliation_string":"King's Coll. London, London#TAB#","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109111500","display_name":"Xue Zhiwei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]},{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhiwei X. Chi","raw_affiliation_strings":["Department of Electronic Engineering, King''s College, UK","King's Coll. London, London#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, King''s College, UK","institution_ids":["https://openalex.org/I4210119896"]},{"raw_affiliation_string":"King's Coll. London, London#TAB#","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049494866"],"corresponding_institution_ids":["https://openalex.org/I183935753","https://openalex.org/I4210119896"],"apc_list":null,"apc_paid":null,"fwci":1.0445,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77335638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":null,"first_page":"I ","last_page":" 353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"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":1.0,"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":0.9918000102043152,"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":0.9905999898910522,"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/gait","display_name":"Gait","score":0.7666960954666138},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7467831373214722},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6581658720970154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.638225793838501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636927604675293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6246005892753601},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6098584532737732},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5305141806602478},{"id":"https://openalex.org/keywords/human-body","display_name":"Human body","score":0.4592113494873047},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.41095805168151855},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3376772999763489},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19165325164794922},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16601163148880005},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.0860464870929718},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07962507009506226}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7666960954666138},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7467831373214722},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6581658720970154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.638225793838501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636927604675293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6246005892753601},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6098584532737732},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5305141806602478},{"id":"https://openalex.org/C193293595","wikidata":"https://www.wikidata.org/wiki/Q23852","display_name":"Human body","level":2,"score":0.4592113494873047},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.41095805168151855},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3376772999763489},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19165325164794922},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16601163148880005},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.0860464870929718},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07962507009506226},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2007.4378964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4378964","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"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":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310009","display_name":"University of Florida","ror":"https://ror.org/02y3ad647"},{"id":"https://openalex.org/F4320310847","display_name":"University of South Florida","ror":"https://ror.org/032db5x82"},{"id":"https://openalex.org/F4320332478","display_name":"U.S. Forest Service","ror":"https://ror.org/03zmjc935"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1558751150","https://openalex.org/W1975443308","https://openalex.org/W1977543168","https://openalex.org/W2033419168","https://openalex.org/W2119448796","https://openalex.org/W2128233502","https://openalex.org/W2134602990","https://openalex.org/W2135541996","https://openalex.org/W2151458682","https://openalex.org/W2161315665"],"related_works":["https://openalex.org/W2133973503","https://openalex.org/W2471060339","https://openalex.org/W2111603423","https://openalex.org/W2148547327","https://openalex.org/W4226236273","https://openalex.org/W2125892956","https://openalex.org/W2790560349","https://openalex.org/W2130975749","https://openalex.org/W2493973380","https://openalex.org/W2394835211"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,47],"novel":[4],"approach":[5],"for":[6,35,51,64],"gait":[7,57],"recognition":[8,80,91],"based":[9,75],"on":[10,76],"the":[11,36,39,52,65,68,71,83,87],"matching":[12],"of":[13,38,54,67,70,86],"body":[14,18,44,73],"components.":[15],"The":[16],"human":[17],"components":[19,45,74],"are":[20,24,33],"studied":[21],"separately":[22],"and":[23],"shown":[25],"to":[26,79],"have":[27],"unequal":[28],"discrimination":[29],"power.":[30],"Several":[31],"approaches":[32],"presented":[34],"combination":[37],"results":[40],"obtained":[41],"from":[42],"different":[43],"into":[46],"common":[48],"distance":[49],"metric":[50],"evaluation":[53],"similarity":[55],"between":[56],"sequences.":[58],"A":[59],"method":[60],"is":[61,93],"also":[62],"proposed":[63,88],"determination":[66],"weighting":[69],"various":[72],"their":[77],"contribution":[78],"performance.":[81],"Using":[82],"best":[84],"performing":[85],"methods,":[89],"improved":[90],"performance":[92],"achieved.":[94]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}