{"id":"https://openalex.org/W2068564787","doi":"https://doi.org/10.1109/icip.2010.5652606","title":"View recognition of human gait sequences in videos","display_name":"View recognition of human gait sequences in videos","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2068564787","doi":"https://doi.org/10.1109/icip.2010.5652606","mag":"2068564787"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5100460385","display_name":"Jiwen Lu","orcid":"https://orcid.org/0000-0002-6121-5529"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiwen Lu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103379503","display_name":"Yap\u2010Peng Tan","orcid":"https://orcid.org/0000-0002-0645-9109"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yap-Peng Tan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical & Electronic Engineering , Nanyang Technological University , Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":2.8071,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89594702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"40","issue":null,"first_page":"2457","last_page":"2460"},"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":0.9951000213623047,"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":0.993399977684021,"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":0.7391036748886108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6572284698486328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6483380794525146},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5952244400978088},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.540816605091095},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5305367708206177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5210760831832886},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.5181416273117065},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42561501264572144},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39366090297698975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3579407036304474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19175520539283752},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.11185052990913391}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7391036748886108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6572284698486328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6483380794525146},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5952244400978088},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.540816605091095},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5305367708206177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5210760831832886},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.5181416273117065},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42561501264572144},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39366090297698975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3579407036304474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19175520539283752},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.11185052990913391},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5652606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 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":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1967979390","https://openalex.org/W1979856851","https://openalex.org/W2058226207","https://openalex.org/W2111513889","https://openalex.org/W2114484845","https://openalex.org/W2114652514","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2126680226","https://openalex.org/W2133137286","https://openalex.org/W2135541996","https://openalex.org/W2138451337","https://openalex.org/W2150130015","https://openalex.org/W4285719527","https://openalex.org/W6676963212","https://openalex.org/W6680210262"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W3008559849","https://openalex.org/W2371177901"],"abstract_inverted_index":{"We":[0],"investigate":[1],"in":[2,14,26],"this":[3],"paper":[4],"the":[5,19,27,30,52,105,109,124,127],"problem":[6,20],"of":[7,10,32,39,108,126],"view":[8,116],"recognition":[9],"human":[11,33,47,55],"gait":[12,34,48,56],"sequences":[13,35,57],"videos.":[15],"To":[16],"our":[17],"knowledge,":[18],"has":[21,36],"not":[22],"been":[23],"formally":[24],"addressed":[25],"literature.":[28],"Recognizing":[29],"views":[31,61],"a":[37,76],"number":[38],"potential":[40],"applications,":[41],"including":[42],"visual":[43],"surveillance":[44],"and":[45,93],"view-invariant":[46],"recognition.":[49,117],"Motivated":[50],"by":[51,83],"fact":[53],"that":[54,104],"collected":[58],"from":[59],"two":[60],"with":[62,71,90,99],"small":[63,91,94],"differences":[64,92,101],"are":[65,120],"more":[66],"easily":[67],"mis-recognized":[68],"than":[69],"those":[70,97],"large":[72,85,100],"differences,":[73],"we":[74],"propose":[75],"new":[77],"adaptive":[78],"discriminant":[79],"analysis":[80],"(ADA)":[81],"method":[82],"imposing":[84],"penalties":[86,95],"on":[87,96],"interclass":[88],"samples":[89,98],"simultaneously,":[102],"such":[103],"discriminating":[106],"power":[107],"extracted":[110],"features":[111],"can":[112],"be":[113],"boosted":[114],"for":[115],"Experimental":[118],"results":[119],"presented":[121],"to":[122],"demonstrate":[123],"efficacy":[125],"proposed":[128],"approach.":[129]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
