{"id":"https://openalex.org/W2141881800","doi":"https://doi.org/10.1109/icip.2007.4379539","title":"Dominant Sets-Based Action Recognition using Image Sequence Matching","display_name":"Dominant Sets-Based Action Recognition using Image Sequence Matching","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2141881800","doi":"https://doi.org/10.1109/icip.2007.4379539","mag":"2141881800"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379539","pdf_url":null,"source":null,"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/A5020209740","display_name":"Qingdi Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qingdi Wei","raw_affiliation_strings":["Chinese Academy and Sciences, Beijing, China","CAS, Beijing"],"affiliations":[{"raw_affiliation_string":"Chinese Academy and Sciences, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CAS, Beijing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114549594","display_name":"Weiming Hu","orcid":"https://orcid.org/0000-0001-9237-8825"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiming Hu","raw_affiliation_strings":["Chinese Academy and Sciences, Beijing, China","CAS, Beijing"],"affiliations":[{"raw_affiliation_string":"Chinese Academy and Sciences, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CAS, Beijing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699785","display_name":"Xiaoqin Zhang","orcid":"https://orcid.org/0000-0003-0958-7285"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoqin Zhang","raw_affiliation_strings":["Chinese Academy and Sciences, Beijing, China","CAS, Beijing"],"affiliations":[{"raw_affiliation_string":"Chinese Academy and Sciences, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CAS, Beijing","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101939059","display_name":"Guan Luo","orcid":"https://orcid.org/0000-0002-2151-3011"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guan Luo","raw_affiliation_strings":["Chinese Academy and Sciences, Beijing, China","CAS, Beijing"],"affiliations":[{"raw_affiliation_string":"Chinese Academy and Sciences, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"CAS, Beijing","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020209740"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6302,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.90744612,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"VI ","last_page":" 133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7822612524032593},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7222670912742615},{"id":"https://openalex.org/keywords/shape-context","display_name":"Shape context","score":0.6924604177474976},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6420680284500122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6049884557723999},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5707386136054993},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5231793522834778},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5071370601654053},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48991650342941284},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.485460102558136},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4789600670337677},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4768837094306946},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4677944779396057},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44926756620407104},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4457630217075348},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.42921698093414307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31571412086486816}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7822612524032593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7222670912742615},{"id":"https://openalex.org/C2779662243","wikidata":"https://www.wikidata.org/wiki/Q970395","display_name":"Shape context","level":3,"score":0.6924604177474976},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6420680284500122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6049884557723999},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5707386136054993},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5231793522834778},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5071370601654053},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48991650342941284},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.485460102558136},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4789600670337677},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4768837094306946},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4677944779396057},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44926756620407104},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4457630217075348},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42921698093414307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31571412086486816},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2007.4379539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379539","pdf_url":null,"source":null,"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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.560.4673","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.560.4673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://nlpr-web.ia.ac.cn/2007papers/gjhy/gh54.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W157898781","https://openalex.org/W2010399676","https://openalex.org/W2057175746","https://openalex.org/W2112908026","https://openalex.org/W2120544738","https://openalex.org/W2133360511","https://openalex.org/W2141844238","https://openalex.org/W2147453376","https://openalex.org/W2148948295","https://openalex.org/W2149516292","https://openalex.org/W2149696322","https://openalex.org/W2152115238","https://openalex.org/W2165414070","https://openalex.org/W6606408464","https://openalex.org/W6677937544","https://openalex.org/W6681773946","https://openalex.org/W6682462870"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2149980199","https://openalex.org/W2019977573","https://openalex.org/W3125766170","https://openalex.org/W2391139946"],"abstract_inverted_index":{"Action":[0],"recognition":[1,123],"is":[2,67,128],"one":[3],"of":[4,28,46,54],"the":[5,59,63,76,86,116,121],"most":[6],"active":[7],"research":[8],"fields":[9],"in":[10,25,36,101],"computer":[11],"vision.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16,80],"propose":[17],"a":[18,26,43,82],"novel":[19],"method":[20,127],"for":[21,69],"classifying":[22],"human":[23,47,91],"actions":[24],"series":[27],"image":[29,37],"sequences":[30,38,88],"containing":[31],"certain":[32],"actions.":[33,92],"Human":[34],"action":[35,137],"can":[39],"be":[40],"recognized":[41],"by":[42],"time-varying":[44],"contour":[45,56],"body.":[48],"We":[49],"first":[50],"extract":[51],"shape":[52],"context":[53],"each":[55],"to":[57,74,89,103,130],"form":[58],"feature":[60,70],"space.":[61],"Then":[62],"dominant":[64,95,117],"sets":[65],"approach":[66,97,119],"used":[68],"clustering":[71],"and":[72,110,139],"classification":[73],"obtain":[75],"labeled":[77,87],"sequences.":[78],"Finally,":[79],"use":[81],"smoothing":[83],"algorithm":[84],"upon":[85],"recognize":[90],"The":[93],"proposed":[94],"sets-based":[96,118],"has":[98],"been":[99],"tested":[100],"comparison":[102],"three":[104],"classical":[105],"methods:":[106],"K-means,":[107],"mean":[108],"shift,":[109],"fuzzy-C-mean.":[111],"Experimental":[112],"results":[113],"demonstrate":[114],"that":[115],"achieves":[120],"best":[122],"performance.":[124],"Moreover,":[125],"our":[126],"robust":[129],"non-rigid":[131],"deformations,":[132],"significant":[133],"scale":[134],"changes,":[135],"high":[136],"irregularities,":[138],"low":[140],"quality":[141],"video.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
