{"id":"https://openalex.org/W2047361478","doi":"https://doi.org/10.1109/icip.2011.6116023","title":"Action recognition using Correlogram of Body Poses and spectral regression","display_name":"Action recognition using Correlogram of Body Poses and spectral regression","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2047361478","doi":"https://doi.org/10.1109/icip.2011.6116023","mag":"2047361478"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th 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/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ling Shao","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University of Sheffield, UK","Department of Electronic & Electrical Engineering, The University of Sheffield, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"Department of Electronic & Electrical Engineering, The University of Sheffield, UK#TAB#","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599890","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-4753-8161"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University of Sheffield, UK","Department of Electronic & Electrical Engineering, The University of Sheffield, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"Department of Electronic & Electrical Engineering, The University of Sheffield, UK#TAB#","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100708080","display_name":"Xiuli Chen","orcid":"https://orcid.org/0000-0001-9317-3207"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiuli Chen","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University of Sheffield, UK","Department of Electronic & Electrical Engineering, The University of Sheffield, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"Department of Electronic & Electrical Engineering, The University of Sheffield, UK#TAB#","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082634513"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":4.9661,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96101995,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"209","last_page":"212"},"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":0.9984999895095825,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9980999827384949,"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/correlogram","display_name":"Correlogram","score":0.9229599237442017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7854045629501343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7392528057098389},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6009936332702637},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5823469758033752},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5559593439102173},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5432301163673401},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5181028246879578},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5155872702598572},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5034236311912537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4835817217826843},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.44596779346466064},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4185423254966736}],"concepts":[{"id":"https://openalex.org/C196070930","wikidata":"https://www.wikidata.org/wiki/Q598190","display_name":"Correlogram","level":2,"score":0.9229599237442017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854045629501343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7392528057098389},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6009936332702637},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5823469758033752},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5559593439102173},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5432301163673401},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5181028246879578},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5155872702598572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5034236311912537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4835817217826843},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.44596779346466064},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4185423254966736},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2011.6116023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:nrl.northumbria.ac.uk:22965","is_oa":false,"landing_page_url":"http://nrl.northumbria.ac.uk/id/eprint/22965/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401884","display_name":"Northumbria Research Link (Northumbria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32394136","host_organization_name":"Northumbria University","host_organization_lineage":["https://openalex.org/I32394136"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6499999761581421,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313934","display_name":"Institut national de recherche en informatique et en automatique (INRIA)","ror":"https://ror.org/02kvxyf05"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1556583247","https://openalex.org/W1917380066","https://openalex.org/W2013076218","https://openalex.org/W2098339052","https://openalex.org/W2106253207","https://openalex.org/W2136399672","https://openalex.org/W2156135524","https://openalex.org/W2166070055","https://openalex.org/W2168736361","https://openalex.org/W6633342350","https://openalex.org/W6640142374"],"related_works":["https://openalex.org/W2760460304","https://openalex.org/W314641344","https://openalex.org/W3175941393","https://openalex.org/W2020495981","https://openalex.org/W3201646541","https://openalex.org/W4297822985","https://openalex.org/W46992105","https://openalex.org/W2040902900","https://openalex.org/W1975844073","https://openalex.org/W3125756894"],"abstract_inverted_index":{"Human":[0],"action":[1,98],"recognition":[2],"is":[3,79],"an":[4,68],"important":[5],"topic":[6],"in":[7,13],"computer":[8],"vision":[9],"with":[10],"its":[11],"applications":[12],"robotics,":[14],"video":[15,24],"surveillance,":[16],"human-computer":[17],"interaction,":[18],"user":[19],"interface":[20],"design,":[21],"and":[22,52],"multimedia":[23],"retrieval,":[25],"etc.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30],"propose":[31],"a":[32],"novel":[33],"representation":[34],"for":[35],"human":[36,57],"actions":[37],"using":[38],"Correlogram":[39],"of":[40,47,56,64],"Body":[41],"Poses":[42],"(CBP)":[43],"which":[44],"takes":[45],"advantage":[46],"both":[48],"the":[49,53,61,65,84,90,94],"probabilistic":[50],"distribution":[51],"temporal":[54],"relationship":[55],"poses.":[58],"To":[59],"reduce":[60],"high":[62],"dimensionality":[63],"CBP":[66],"representation,":[67],"efficient":[69],"subspace":[70],"learning":[71],"technique":[72],"called":[73],"Spectral":[74],"Regression":[75],"Discriminant":[76],"Analysis":[77],"(SRDA)":[78],"explored.":[80],"Experimental":[81],"results":[82],"on":[83,97],"challenging":[85],"IXMAS":[86],"dataset":[87],"show":[88],"that":[89],"proposed":[91],"algorithm":[92],"outperforms":[93],"state-of-the-art":[95],"methods":[96],"recognition.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
