{"id":"https://openalex.org/W2126369326","doi":"https://doi.org/10.1109/robot.2008.4543445","title":"Human tracking and segmentation supported by silhouette-based gait recognition","display_name":"Human tracking and segmentation supported by silhouette-based gait recognition","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2126369326","doi":"https://doi.org/10.1109/robot.2008.4543445","mag":"2126369326"},"language":"en","primary_location":{"id":"doi:10.1109/robot.2008.4543445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2008.4543445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Robotics and Automation","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/A5036252935","display_name":"Junqiu Wang","orcid":"https://orcid.org/0000-0001-6516-547X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Junqiu Wang","raw_affiliation_strings":["Department of Intelligent Media, Institute of Scientific and Industrial Research, OSAKA University, Ibaraki, Osaka, Japan","[Inst. of Sci. & Ind. Res., Osaka Univ., Ibaraki]"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Media, Institute of Scientific and Industrial Research, OSAKA University, Ibaraki, Osaka, Japan","institution_ids":[]},{"raw_affiliation_string":"[Inst. of Sci. & Ind. Res., Osaka Univ., Ibaraki]","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010680369","display_name":"Yasushi Makihara","orcid":"https://orcid.org/0000-0002-7071-4872"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasushi Makihara","raw_affiliation_strings":["Department of Intelligent Media, Institute of Scientific and Industrial Research, OSAKA University, Ibaraki, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Media, Institute of Scientific and Industrial Research, OSAKA University, Ibaraki, Osaka, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040773064","display_name":"Yasushi Yagi","orcid":"https://orcid.org/0000-0002-3546-8071"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasushi Yagi","raw_affiliation_strings":["Department of Intelligent Media, Institute of Scientific and Industrial Research, OSAKA University, Ibaraki, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Media, Institute of Scientific and Industrial Research, OSAKA University, Ibaraki, Osaka, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036252935"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":1.2484,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80888877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1698","last_page":"1703"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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/T10812","display_name":"Human Pose and Action Recognition","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"}}],"keywords":[{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.9704216718673706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8039284944534302},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7988232374191284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7938916683197021},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7153890132904053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.667935848236084},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5603287816047668},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5442670583724976},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.519931972026825},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.43331417441368103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41300520300865173},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16101092100143433},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06652462482452393},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.06332540512084961}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.9704216718673706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8039284944534302},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7988232374191284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7938916683197021},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7153890132904053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667935848236084},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5603287816047668},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5442670583724976},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.519931972026825},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.43331417441368103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41300520300865173},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16101092100143433},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06652462482452393},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.06332540512084961},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/robot.2008.4543445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2008.4543445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.568.7384","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.568.7384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.am.sanken.osaka-u.ac.jp/~makihara/pdf/icra2008.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1560013842","https://openalex.org/W1561782558","https://openalex.org/W1643263348","https://openalex.org/W1838623262","https://openalex.org/W1865572126","https://openalex.org/W2053181242","https://openalex.org/W2069537876","https://openalex.org/W2097412577","https://openalex.org/W2098479385","https://openalex.org/W2102630415","https://openalex.org/W2107481936","https://openalex.org/W2119958126","https://openalex.org/W2125480112","https://openalex.org/W2129823392","https://openalex.org/W2132103241","https://openalex.org/W2144714649","https://openalex.org/W2150000644","https://openalex.org/W2152386463","https://openalex.org/W2169527406","https://openalex.org/W2169551590","https://openalex.org/W2528658662","https://openalex.org/W6633663260","https://openalex.org/W6636836683","https://openalex.org/W6639226857","https://openalex.org/W6678820328","https://openalex.org/W6685031581"],"related_works":["https://openalex.org/W120096811","https://openalex.org/W2923160319","https://openalex.org/W2945912943","https://openalex.org/W3192357901","https://openalex.org/W3036286480","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W4237171675","https://openalex.org/W2952736415","https://openalex.org/W3209723314"],"abstract_inverted_index":{"Gait":[0],"recognition":[1,22,82],"has":[2],"recently":[3],"gained":[4],"attention":[5],"as":[6,48,110],"an":[7,54],"effective":[8],"approach":[9],"to":[10,92,100],"identify":[11],"individuals":[12],"at":[13],"a":[14,17],"distance":[15],"from":[16],"camera.":[18],"Most":[19],"existing":[20],"gait":[21,63,81,89,107],"algorithms":[23],"assume":[24],"that":[25],"people":[26,102],"have":[27,32],"been":[28,33],"tracked":[29],"and":[30,37,59,76],"silhouettes":[31],"segmented":[34],"successfully.":[35],"Tacking":[36],"segmentation":[38,60,97],"are,":[39],"however,":[40],"very":[41],"difficult":[42],"especially":[43],"for":[44,57,85],"articulated":[45],"objects":[46],"such":[47],"human":[49],"beings.":[50],"Therefore,":[51],"we":[52],"present":[53],"integrated":[55],"algorithm":[56],"tracking":[58,67],"supported":[61],"by":[62],"recognition.":[64],"After":[65],"the":[66,80,86,93,96,105,119,122],"module":[68,83,98],"produces":[69],"initial":[70],"results":[71],"consisting":[72],"of":[73,121],"bounding":[74],"boxes":[75],"foreground":[77],"likelihood":[78],"images,":[79],"searches":[84],"optimal":[87],"silhouette-based":[88],"models":[90],"corresponding":[91],"results.":[94],"Then,":[95],"tries":[99],"segment":[101],"out":[103],"using":[104],"provided":[106],"silhouette":[108],"sequence":[109],"shape":[111],"priors.":[112],"Experiments":[113],"on":[114],"real":[115],"video":[116],"sequences":[117],"show":[118],"effectiveness":[120],"proposed":[123],"approach.":[124]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
