{"id":"https://openalex.org/W2069879691","doi":"https://doi.org/10.1109/cvpr.2010.5540140","title":"Tracking people interacting with objects","display_name":"Tracking people interacting with objects","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2069879691","doi":"https://doi.org/10.1109/cvpr.2010.5540140","mag":"2069879691"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5540140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","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/A5021003965","display_name":"Hedvig Kjellstr\u00f6m","orcid":"https://orcid.org/0000-0002-5750-9655"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Hedvig Kjellstrom","raw_affiliation_strings":["CVAP/CASCSC, KTH, Stockholm, Sweden","CVAP/CAS, CSC, KTH, 114 22 Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"CVAP/CASCSC, KTH, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"CVAP/CAS, CSC, KTH, 114 22 Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023792180","display_name":"Danica Kragi\u0107","orcid":"https://orcid.org/0000-0003-2965-2953"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Danica Kragic","raw_affiliation_strings":["CVAP/CASCSC, KTH, Stockholm, Sweden","CVAP/CAS, CSC, KTH, 114 22 Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"CVAP/CASCSC, KTH, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"CVAP/CAS, CSC, KTH, 114 22 Stockholm, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065396778","display_name":"Michael J. Black","orcid":"https://orcid.org/0000-0001-6077-4540"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael J. Black","raw_affiliation_strings":["Dept. Computer Science, Brown University, Providence, RI, USA","Dept. Computer Science, Brown University, Providence, RI 02912, USA"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"Dept. Computer Science, Brown University, Providence, RI 02912, USA","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021003965"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":8.7277,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.9815902,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"747","last_page":"754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9991999864578247,"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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7741744518280029},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.759246826171875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6653444766998291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.648109495639801},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5868329405784607},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5620650053024292},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4805484414100647},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4533861577510834},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4500857889652252},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.44307559728622437},{"id":"https://openalex.org/keywords/ground-plane","display_name":"Ground plane","score":0.4319891929626465},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4307243824005127},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.4220349192619324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16741827130317688},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12027454376220703},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09171712398529053}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7741744518280029},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.759246826171875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6653444766998291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.648109495639801},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5868329405784607},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5620650053024292},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4805484414100647},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4533861577510834},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4500857889652252},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.44307559728622437},{"id":"https://openalex.org/C88764893","wikidata":"https://www.wikidata.org/wiki/Q1547722","display_name":"Ground plane","level":3,"score":0.4319891929626465},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4307243824005127},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.4220349192619324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16741827130317688},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12027454376220703},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09171712398529053},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2010.5540140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.163.6958","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.163.6958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.nada.kth.se/~hedvig/publications/cvpr_10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1517103487","https://openalex.org/W1643263348","https://openalex.org/W1947629779","https://openalex.org/W2006178360","https://openalex.org/W2083502112","https://openalex.org/W2096205023","https://openalex.org/W2097412577","https://openalex.org/W2098066828","https://openalex.org/W2099333815","https://openalex.org/W2106833577","https://openalex.org/W2113190754","https://openalex.org/W2119350939","https://openalex.org/W2122190623","https://openalex.org/W2122469558","https://openalex.org/W2122800222","https://openalex.org/W2123099539","https://openalex.org/W2126698653","https://openalex.org/W2131432112","https://openalex.org/W2131590007","https://openalex.org/W2132174172","https://openalex.org/W2138584923","https://openalex.org/W2140772678","https://openalex.org/W2141218264","https://openalex.org/W2150297019","https://openalex.org/W2158268505","https://openalex.org/W2535579907","https://openalex.org/W4212874153","https://openalex.org/W6636836683","https://openalex.org/W6678185843","https://openalex.org/W6679512744"],"related_works":["https://openalex.org/W2318603563","https://openalex.org/W887692824","https://openalex.org/W2354419434","https://openalex.org/W3178626677","https://openalex.org/W4285271403","https://openalex.org/W2110357291","https://openalex.org/W3015801620","https://openalex.org/W377974473","https://openalex.org/W1601275489","https://openalex.org/W2082914773"],"abstract_inverted_index":{"While":[0],"the":[1,17,25,35,47,59,84,89,121,139],"problem":[2,124],"of":[3,91,96,120,130],"tracking":[4,36,64,71,123],"3D":[5,151],"human":[6,73,77,110,148],"motion":[7,149],"has":[8],"been":[9],"widely":[10],"studied,":[11],"most":[12,39],"approaches":[13],"have":[14],"assumed":[15],"that":[16,136],"person":[18],"is":[19,68,78,112],"isolated":[20],"and":[21,33,44,109],"not":[22],"interacting":[23],"with":[24,46,56,81,132],"environment.":[26,60],"Environmental":[27],"constraints,":[28],"however,":[29],"can":[30],"greatly":[31],"constrain":[32,88],"simplify":[34],"problem.":[37],"The":[38],"studied":[40],"constraints":[41,137],"involve":[42],"gravity":[43],"contact":[45,80,131],"ground":[48],"plane.":[49],"We":[50,115,134],"go":[51],"further":[52],"to":[53,102,144],"consider":[54],"interaction":[55],"objects":[57,67,82],"in":[58,79,83,150],"In":[61],"many":[62],"cases,":[63],"rigid":[65],"environmental":[66],"simpler":[69],"than":[70],"high-dimensional":[72],"motion.":[74],"When":[75],"a":[76,104,117,153],"world,":[85],"their":[86],"poses":[87],"pose":[90],"body,":[92],"essentially":[93],"removing":[94],"degrees":[95],"freedom.":[97],"Thus":[98],"what":[99],"would":[100],"appear":[101],"be":[103],"harder":[105],"problem,":[106],"combining":[107],"object":[108],"tracking,":[111],"actually":[113],"simpler.":[114],"use":[116],"standard":[118],"formulation":[119],"body":[122],"but":[125],"add":[126],"an":[127],"explicit":[128],"model":[129],"objects.":[133],"find":[135],"from":[138,152],"world":[140],"make":[141],"it":[142],"possible":[143],"track":[145],"complex":[146],"articulated":[147],"monocular":[154],"camera.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}