{"id":"https://openalex.org/W2900404614","doi":"https://doi.org/10.1109/roman.2018.8525654","title":"Data-Driven, 3-D Classification of Person-Object Relationships and Semantic Context Clustering for Robotics and AI Applications","display_name":"Data-Driven, 3-D Classification of Person-Object Relationships and Semantic Context Clustering for Robotics and AI Applications","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2900404614","doi":"https://doi.org/10.1109/roman.2018.8525654","mag":"2900404614"},"language":"en","primary_location":{"id":"doi:10.1109/roman.2018.8525654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2018.8525654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","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/A5052349006","display_name":"Marc Patrick Zapf","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Marc Patrick Zapf","raw_affiliation_strings":["Department of Dynamic Brain Imaging, Advanced Telecommunications Research Institute International, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Dynamic Brain Imaging, Advanced Telecommunications Research Institute International, Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014014611","display_name":"Astha Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Astha Gupta","raw_affiliation_strings":["Department of Dynamic Brain Imaging, Advanced Telecommunications Research Institute International, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Dynamic Brain Imaging, Advanced Telecommunications Research Institute International, Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083187323","display_name":"Luis Yoichi Morales Saiki","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]},{"id":"https://openalex.org/I4210150479","display_name":"Institute for Future Engineering","ror":"https://ror.org/04p1vet95","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210150479"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Luis Yoichi Morales Saiki","raw_affiliation_strings":["Nagoya University Institute of Innovation for Future Society, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University Institute of Innovation for Future Society, Japan","institution_ids":["https://openalex.org/I4210150479","https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004328317","display_name":"Motoaki Kawanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104143","display_name":"Advanced Telecommunications Research Institute International","ror":"https://ror.org/01pe1d703","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210104143"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Motoaki Kawanabe","raw_affiliation_strings":["Department of Dynamic Brain Imaging, Advanced Telecommunications Research Institute International, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Dynamic Brain Imaging, Advanced Telecommunications Research Institute International, Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052349006"],"corresponding_institution_ids":["https://openalex.org/I4210104143"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56448844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"abs 1803 6199","issue":null,"first_page":"180","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9958000183105469,"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":0.7333574891090393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7301093339920044},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6728436946868896},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6400367021560669},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6087010502815247},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5991328954696655},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5481128096580505},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4887239933013916},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.48836132884025574},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4471745491027832},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14393368363380432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11998677253723145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333574891090393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7301093339920044},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6728436946868896},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6400367021560669},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6087010502815247},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5991328954696655},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5481128096580505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4887239933013916},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.48836132884025574},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4471745491027832},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14393368363380432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11998677253723145},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/roman.2018.8525654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2018.8525654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335125","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W861352110","https://openalex.org/W2000723188","https://openalex.org/W2033574012","https://openalex.org/W2072723786","https://openalex.org/W2077193177","https://openalex.org/W2115763357","https://openalex.org/W2116274772","https://openalex.org/W2117539524","https://openalex.org/W2124386111","https://openalex.org/W2125114795","https://openalex.org/W2127218421","https://openalex.org/W2133844819","https://openalex.org/W2146055337","https://openalex.org/W2146292423","https://openalex.org/W2152864241","https://openalex.org/W2560609797","https://openalex.org/W2570343428","https://openalex.org/W2572730875","https://openalex.org/W2604333948","https://openalex.org/W2963037989","https://openalex.org/W2963881378","https://openalex.org/W2964062501","https://openalex.org/W2964304707","https://openalex.org/W4298299490","https://openalex.org/W6623841700","https://openalex.org/W6677303887","https://openalex.org/W6678914141","https://openalex.org/W6745673378","https://openalex.org/W6748766184"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W4298130764","https://openalex.org/W2980582925"],"abstract_inverted_index":{"We":[0,120],"introduce":[1],"a":[2,34,39],"framework":[3,156],"for":[4],"detection":[5,26],"and":[6,45,48,52,66,69,75,87,98,131,195],"classification":[7],"of":[8,124,171],"spatio-temporal":[9],"person-object":[10,88,129],"interactions.":[11],"Our":[12],"method":[13],"clusters":[14],"similar":[15],"semantic":[16,116,133,162],"contexts":[17,176],"from":[18,21,33],"interactions":[19],"detected":[20],"RGB-D":[22,139],"data.":[23],"2-D":[24],"object":[25,53,76],"(YOLO)":[27],"is":[28,157],"run":[29],"on":[30,38],"RGB":[31],"data":[32,140],"Kinect":[35],"v2":[36],"sensor":[37],"mobile":[40,191],"robot":[41],"navigating":[42],"an":[43],"office":[44],"observing":[46],"persons":[47,97,144],"desk":[49],"spaces.":[50],"Person":[51],"detections":[54],"are":[55,80,101,105],"converted":[56],"into":[57],"3-D":[58,73],"point":[59,77],"cloud":[60,78],"time":[61],"series":[62],"via":[63],"RGB-Depth":[64],"co-registration":[65],"successive":[67],"Euclidean":[68],"k-means":[70,108],"spatial":[71],"clustering.":[72],"person":[74],"streams":[79],"used":[81],"to":[82,109,127,159,164,186,193],"create":[83],"time-series":[84],"occupancy":[85],"maps":[86],"co-localization":[89],"maps.":[90],"From":[91],"these":[92],"maps,":[93],"spatiotemporal":[94],"correlations":[95,130],"between":[96],"distinct":[99,111],"objects":[100,147],"computed.":[102],"Correlation":[103],"patterns":[104],"clustered":[106],"using":[107],"obtain":[110],"human-object":[112],"interactions,":[113],"i.e.":[114],"segment":[115],"context":[117,134,163],"over":[118],"time.":[119],"evaluated":[121],"the":[122,165,184],"performance":[123],"our":[125,155],"approach":[126],"detect":[128],"cluster":[132,167],"by":[135],"recording":[136],"90":[137],"30-second":[138],"episodes,":[141],"with":[142],"three":[143],"handling":[145],"representative":[146],"(books,":[148],"cups,":[149],"bottles).":[150],"Experimental":[151],"results":[152],"show":[153],"that":[154],"able":[158],"consistently":[160],"assign":[161],"same":[166],"in":[168,177,197],">":[169],"79%":[170],"cases":[172],"(scene":[173],"frames).":[174],"Semantic":[175],"visual":[178],"scenes":[179],"can":[180],"be":[181],"distinguished":[182],"without":[183],"need":[185],"provide":[187],"prior":[188],"information,":[189],"allowing":[190],"agents":[192],"learn":[194],"explore":[196],"new":[198],"environments.":[199]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
