{"id":"https://openalex.org/W2061017280","doi":"https://doi.org/10.1109/humanoids.2014.7041337","title":"Recognizing object affordances in terms of spatio-temporal object-object relationships","display_name":"Recognizing object affordances in terms of spatio-temporal object-object relationships","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2061017280","doi":"https://doi.org/10.1109/humanoids.2014.7041337","mag":"2061017280"},"language":"en","primary_location":{"id":"doi:10.1109/humanoids.2014.7041337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids.2014.7041337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE-RAS International Conference on Humanoid Robots","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067538897","display_name":"Alessandro Pieropan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Alessandro Pieropan","raw_affiliation_strings":["CVAP/CAS, KTH, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"CVAP/CAS, KTH, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022800415","display_name":"Carl Henrik Ek","orcid":"https://orcid.org/0000-0003-1302-6309"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carl Henrik Ek","raw_affiliation_strings":["CVAP/CAS, KTH, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"CVAP/CAS, KTH, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021003965","display_name":"Hedvig Kjellstr\u00f6m","orcid":"https://orcid.org/0000-0002-5750-9655"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hedvig Kjellstrom","raw_affiliation_strings":["CVAP/CAS, KTH, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"CVAP/CAS, KTH, Stockholm, Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067538897"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9764,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.89307647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"52","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9977999925613403,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9902999997138977,"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/affordance","display_name":"Affordance","score":0.7485132217407227},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7246161103248596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.704364538192749},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6935329437255859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6762535572052002},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6623467803001404},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6253690719604492},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5930533409118652},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5710119605064392},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4796781539916992},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4684310853481293},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45373645424842834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4303748309612274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20166364312171936},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.11928558349609375}],"concepts":[{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.7485132217407227},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7246161103248596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704364538192749},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6935329437255859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6762535572052002},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6623467803001404},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6253690719604492},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5930533409118652},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5710119605064392},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4796781539916992},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4684310853481293},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45373645424842834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4303748309612274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20166364312171936},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.11928558349609375},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/humanoids.2014.7041337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids.2014.7041337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE-RAS International Conference on Humanoid Robots","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:kth-158008","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158008","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/50da0f17-4137-4450-ad6d-4bf94b83f0d6","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/50da0f17-4137-4450-ad6d-4bf94b83f0d6","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pieropan, A, Ek, C H & Kjellstr\u00f6m, H 2014, Recognizing object affordances in terms of spatio-temporal object-object relationships. in IEEE-RAS International Conference on Humanoid Robots. pp. 52-58.","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/50da0f17-4137-4450-ad6d-4bf94b83f0d6","is_oa":false,"landing_page_url":"https://research-information.bristol.ac.uk/en/publications/recognizing-object-affordances-in-terms-of-spatiotemporal-objectobject-relationships(50da0f17-4137-4450-ad6d-4bf94b83f0d6).html","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pieropan, A, Ek, C H & Kjellstr\u00f6m, H 2014, Recognizing object affordances in terms of spatio-temporal object-object relationships. in IEEE-RAS International Conference on Humanoid Robots. pp. 52-58.","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:kth-158008","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-158008","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1565206031","https://openalex.org/W1601740268","https://openalex.org/W1711926650","https://openalex.org/W1780555481","https://openalex.org/W1910457081","https://openalex.org/W1933657216","https://openalex.org/W1965677890","https://openalex.org/W1998197760","https://openalex.org/W2014716520","https://openalex.org/W2015089916","https://openalex.org/W2028798328","https://openalex.org/W2032165333","https://openalex.org/W2032293070","https://openalex.org/W2041376653","https://openalex.org/W2074043780","https://openalex.org/W2098066828","https://openalex.org/W2098517267","https://openalex.org/W2098782609","https://openalex.org/W2107787800","https://openalex.org/W2109306844","https://openalex.org/W2118025156","https://openalex.org/W2128160875","https://openalex.org/W2134927309","https://openalex.org/W2136767371","https://openalex.org/W2138087962","https://openalex.org/W2145315825","https://openalex.org/W2149173366","https://openalex.org/W2153690652","https://openalex.org/W2155217025","https://openalex.org/W2155983176","https://openalex.org/W2156422658","https://openalex.org/W2159564241","https://openalex.org/W2161236525","https://openalex.org/W2165605600","https://openalex.org/W2166302491","https://openalex.org/W2166761907","https://openalex.org/W2169393274","https://openalex.org/W2542177504","https://openalex.org/W2882319491","https://openalex.org/W2952793010","https://openalex.org/W2994982620","https://openalex.org/W3151451640","https://openalex.org/W4254329555","https://openalex.org/W6633567737","https://openalex.org/W6638109603","https://openalex.org/W6680658971","https://openalex.org/W7075578449"],"related_works":["https://openalex.org/W1972718289","https://openalex.org/W1791514435","https://openalex.org/W2346831895","https://openalex.org/W2248634132","https://openalex.org/W2295809616","https://openalex.org/W3049116993","https://openalex.org/W2070708245","https://openalex.org/W1541884709","https://openalex.org/W2589081601","https://openalex.org/W2894446834"],"abstract_inverted_index":{"In":[0,87],"this":[1,61,88],"paper":[2,89],"we":[3,39,63,90],"describe":[4],"a":[5,16,20,36,44,52,65,110,126],"probabilistic":[6,66],"framework":[7],"that":[8],"models":[9],"the":[10,30,33,75,82,93,98],"interaction":[11],"between":[12,26],"multiple":[13,114],"objects":[14,79],"in":[15,29,43],"scene.":[17,31],"We":[18,116],"present":[19],"spatio-temporal":[21],"feature":[22],"encoding":[23],"pairwise":[24,95],"interactions":[25,42,55],"each":[27],"object":[28,41,112],"By":[32],"use":[34],"of":[35,56,77,84],"kernel":[37,122],"representation":[38],"embed":[40],"vector":[45],"space":[46],"which":[47,68],"allows":[48,69],"us":[49,70],"to":[50,71,104,109],"define":[51,64],"metric":[53,62],"comparing":[54],"different":[57],"temporal":[58],"extent.":[59],"Using":[60],"model":[67,99],"represent":[72],"and":[73,124],"extract":[74],"affordances":[76],"individual":[78],"based":[80],"on":[81,92],"structure":[83],"their":[85],"interaction.":[86],"focus":[91],"presented":[94],"relationships":[96],"but":[97],"can":[100],"naturally":[101],"be":[102],"extended":[103],"incorporate":[105],"additional":[106],"cues":[107],"related":[108],"single":[111],"or":[113],"objects.":[115],"compare":[117],"our":[118],"approach":[119],"with":[120],"traditional":[121],"approaches":[123],"show":[125],"significant":[127],"improvement.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}