{"id":"https://openalex.org/W2107861736","doi":"https://doi.org/10.1109/icme.2010.5583562","title":"Action detection using multiple spatial-temporal interest point features","display_name":"Action detection using multiple spatial-temporal interest point features","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2107861736","doi":"https://doi.org/10.1109/icme.2010.5583562","mag":"2107861736"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2010.5583562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5583562","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 Multimedia and Expo","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/A5103187717","display_name":"Liangliang Cao","orcid":"https://orcid.org/0000-0003-0900-1512"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liangliang Cao","raw_affiliation_strings":["Beckman Institute, University of Illinois at Urbana-Champaign, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beckman Institute, University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074244244","display_name":"Yingli Tian","orcid":"https://orcid.org/0000-0003-4458-360X"},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"YingLi Tian","raw_affiliation_strings":["Department of Electrical Engineering, City College of New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City College of New York, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101728117","display_name":"Zicheng Liu","orcid":"https://orcid.org/0000-0001-5894-7828"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zicheng Liu","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles","Microsoft Research Limited, Redmond, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Microsoft Research Limited, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112692433","display_name":"Benjamin Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Benjamin Yao","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, USA","Microsoft Research, Redmond"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Microsoft Research, Redmond","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058849717","display_name":"Zhengyou Zhang","orcid":"https://orcid.org/0000-0002-6606-2525"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengyou Zhang","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457342","display_name":"Thomas S. Huang","orcid":"https://orcid.org/0000-0001-8474-5859"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas S. Huang","raw_affiliation_strings":["Beckman Institute, University of Illinois at Urbana-Champaign, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beckman Institute, University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"340","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.998199999332428,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9926999807357788,"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/computer-science","display_name":"Computer science","score":0.7802721261978149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7261008024215698},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7252297401428223},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6202306151390076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.598884105682373},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5603654384613037},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5564859509468079},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4877808690071106},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4599240720272064},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4515990614891052},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.41187530755996704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1540583074092865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7802721261978149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7261008024215698},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7252297401428223},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6202306151390076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.598884105682373},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5603654384613037},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5564859509468079},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4877808690071106},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4599240720272064},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4515990614891052},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.41187530755996704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1540583074092865},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icme.2010.5583562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5583562","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 Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.668.4556","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.668.4556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://media-lab.engr.ccny.cuny.edu/%7Emedia-server/Publications/ICME2010.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.679.3619","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.3619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ifp.illinois.edu/%7Ecao4/papers/MultiFeaAction_cao_ICME10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1525954826","https://openalex.org/W2010399676","https://openalex.org/W2034328688","https://openalex.org/W2041823554","https://openalex.org/W2052487339","https://openalex.org/W2068576236","https://openalex.org/W2096691069","https://openalex.org/W2097342496","https://openalex.org/W2100916003","https://openalex.org/W2101194540","https://openalex.org/W2113201641","https://openalex.org/W2119799051","https://openalex.org/W2129418188","https://openalex.org/W2137981002","https://openalex.org/W2142194269","https://openalex.org/W2155983176","https://openalex.org/W2158169396","https://openalex.org/W2161017465","https://openalex.org/W2162451865","https://openalex.org/W2163273012","https://openalex.org/W2166781916","https://openalex.org/W2533739470","https://openalex.org/W2539525772","https://openalex.org/W2543747381","https://openalex.org/W2547062449","https://openalex.org/W2901391803","https://openalex.org/W4241144802","https://openalex.org/W4249279051","https://openalex.org/W4285719527","https://openalex.org/W6631399749","https://openalex.org/W6679000042","https://openalex.org/W6684055367","https://openalex.org/W6684734391","https://openalex.org/W6728706464"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W2545348020","https://openalex.org/W4388913932","https://openalex.org/W4309130263","https://openalex.org/W1951490636","https://openalex.org/W2090076045","https://openalex.org/W854522590"],"abstract_inverted_index":{"This":[0],"paper":[1,19],"considers":[2],"the":[3,13,25,35,39,61,67,80,93,109,135,163,166,199,227],"problem":[4,95],"of":[5,28,38,56,63,76,118,123,137,201],"detecting":[6],"actions":[7],"from":[8],"cluttered":[9,68,86],"videos.":[10,87],"Compared":[11],"with":[12,193],"classical":[14,221],"action":[15,40,64,81,129,200,211],"recognition":[16],"problem,":[17],"this":[18,89],"aims":[20],"to":[21,52,60,151,196],"estimate":[22],"not":[23,156],"only":[24],"scene":[26],"category":[27],"a":[29,73,185,205],"given":[30],"video":[31,110],"sequence,":[32],"but":[33],"also":[34],"spatial-temporal":[36],"locations":[37],"instances.":[41],"In":[42,88],"recent":[43],"years,":[44],"many":[45,173],"feature":[46,117],"extraction":[47],"schemes":[48],"have":[49],"been":[50],"designed":[51],"describe":[53,113],"various":[54],"aspects":[55],"actions.":[57],"However,":[58],"due":[59],"difficulty":[62,122],"detection,":[65],"e.g.,":[66],"background":[69],"and":[70,112,214],"potential":[71],"occlusions,":[72],"single":[74],"type":[75],"features":[77,127,154],"cannot":[78],"solve":[79],"detection":[82,94,130,164,212],"problems":[83],"perfectly":[84],"in":[85,108,165],"paper,":[90],"we":[91,183],"attack":[92],"by":[96,116,141,158],"combining":[97,124],"multiple":[98,125],"Spatial-Temporal":[99],"Interest":[100],"Point":[101],"(STIP)":[102],"features,":[103],"which":[104,171,188],"detect":[105],"salient":[106,138,148],"patches":[107,115,139],"domain,":[111],"these":[114,180],"local":[119],"regions.":[120],"The":[121],"STIP":[126,143],"for":[128,209],"is":[131,155],"two":[132,181],"folds:":[133],"First,":[134],"number":[136],"detected":[140],"different":[142,147],"methods":[144],"varies":[145],"across":[146],"patches.":[149],"How":[150],"combine":[152],"such":[153],"considered":[157],"existing":[159],"fusion":[160],"methods.":[161,229],"Second,":[162],"videos":[167],"should":[168],"be":[169],"efficient,":[170],"excludes":[172],"slow":[174],"machine":[175],"learning":[176],"algorithms.":[177],"To":[178],"handle":[179],"difficulties,":[182],"propose":[184],"new":[186,206],"approach":[187],"combines":[189],"Gaussian":[190],"Mixture":[191],"Model":[192],"Branch-and-Bound":[194],"search":[195],"efficiently":[197],"locate":[198],"interest.":[202],"We":[203],"build":[204],"challenging":[207],"dataset":[208],"our":[210,215,224],"task,":[213],"algorithm":[216],"obtains":[217],"impressive":[218],"results.":[219],"On":[220],"KTH":[222],"dataset,":[223],"method":[225],"outperforms":[226],"state-of-the-art":[228]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
