{"id":"https://openalex.org/W107313261","doi":null,"title":"A depth-based polar coordinate system for people segmentation and tracking with multiple RGB-D sensors","display_name":"A depth-based polar coordinate system for people segmentation and tracking with multiple RGB-D sensors","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W107313261","mag":"107313261"},"language":"en","primary_location":{"id":"pmh:oai:eprints.kingston.ac.uk:28989","doi":null,"is_oa":false,"landing_page_url":"http://eprints.kingston.ac.uk/id/eprint/28989/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400991","display_name":"Research Repository (Kingston University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801636071","host_organization_name":"Kingston Hospital NHS Trust","host_organization_lineage":["https://openalex.org/I2801636071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5055883570","display_name":"Emilio J. Almaz\u00e1n","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emilio J. Almaz\u00e1n","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103563109","display_name":"Graeme A. Jones","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I205051169","display_name":"Kingston University London","ror":"https://ror.org/05bbqza97","country_code":"GB","type":"education","lineage":["https://openalex.org/I205051169"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Graeme A. Jones","raw_affiliation_strings":["[Kingston University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Kingston University]","institution_ids":["https://openalex.org/I205051169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.349,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53276326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.9990000128746033,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11448","display_name":"Face recognition and analysis","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-object-tracking","display_name":"multi-target tracking","score":0.9490000009536743},{"id":"https://openalex.org/keywords/rgb-d-camera","display_name":"RGB-D camera","score":0.8960000276565552},{"id":"https://openalex.org/keywords/polar-representation","display_name":"polar representation","score":0.8199999928474426},{"id":"https://openalex.org/keywords/occlusion-handling","display_name":"occlusion handling","score":0.7260000109672546}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7883983850479126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6943943500518799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6749210953712463},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6547811031341553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6513232588768005},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5249707102775574},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4882395565509796},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4811862111091614},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4552208483219147},{"id":"https://openalex.org/C40069579","wikidata":"https://www.wikidata.org/wiki/Q62494","display_name":"Polar coordinate system","level":2,"score":0.4238671660423279},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.41804784536361694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1198776364326477},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09470903873443604},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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":2,"locations":[{"id":"pmh:oai:eprints.kingston.ac.uk:28989","doi":null,"is_oa":false,"landing_page_url":"http://eprints.kingston.ac.uk/id/eprint/28989/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400991","display_name":"Research Repository (Kingston University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801636071","host_organization_name":"Kingston Hospital NHS Trust","host_organization_lineage":["https://openalex.org/I2801636071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"mag:107313261","doi":null,"is_oa":false,"landing_page_url":"https://eprints.kingston.ac.uk/28989/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W184162932","https://openalex.org/W1952910563","https://openalex.org/W1990694927","https://openalex.org/W2067528992","https://openalex.org/W2109050688","https://openalex.org/W2112445825","https://openalex.org/W2112886747","https://openalex.org/W2126141220","https://openalex.org/W2140345984","https://openalex.org/W2141461755","https://openalex.org/W2146882684","https://openalex.org/W2155680787","https://openalex.org/W2157044442","https://openalex.org/W2162265152","https://openalex.org/W2170443772"],"related_works":["https://openalex.org/W2116330738","https://openalex.org/W7015581795","https://openalex.org/W2340160484","https://openalex.org/W4411233497","https://openalex.org/W2044339004","https://openalex.org/W2233911294","https://openalex.org/W2986786751","https://openalex.org/W2279249399","https://openalex.org/W1952869595","https://openalex.org/W2027807575"],"abstract_inverted_index":{"The":[0],"work":[1,104],"presented":[2,101,129],"in":[3,79,102],"this":[4,103,122],"paper":[5],"provides":[6,42],"a":[7,71,76,124],"framework":[8,123],"for":[9],"monitoring":[10],"wide":[11],"area":[12],"indoor":[13],"spaces":[14],"built":[15],"from":[16,37,85],"multiple":[17,132],"RGB-D":[18,52],"sensors.":[19,39],"A":[20,96],"polar":[21],"coordinate":[22],"space":[23],"representation":[24],"of":[25,58,70,92,143],"the":[26,35,47,68,90,105,112,140],"common":[27],"ground":[28],"plane":[29],"is":[30,75,94,100,128],"proposed":[31],"to":[32,51,81,138],"effectively":[33,120],"aggregate":[34],"data":[36],"all":[38],"Additionally,":[40],"it":[41],"with":[43,60,111],"capabilities":[44],"that":[45,130],"mitigate":[46],"main":[48],"issues":[49],"related":[50],"sensors":[53],"i.e.":[54],"limited":[55],"range,":[56],"degradation":[57],"resolution":[59],"distance":[61],"and":[62,134],"increasing":[63],"noise.":[64],"For":[65],"multi-target":[66,144],"tracking,":[67],"use":[69],"discriminative":[72,117],"appearance":[73,98],"model":[74,99],"chief":[77],"aspect":[78],"order":[80],"properly":[82],"distinguish":[83],"people":[84,93,135],"one":[86],"another,":[87],"especially":[88],"where":[89],"density":[91],"high.":[95],"multi-part":[97],"chromogram":[106],"\u2013":[107],"which":[108],"combines":[109],"colour":[110],"height":[113],"dimension":[114],"offering":[115],"high":[116],"capabilities.":[118],"To":[119],"evaluate":[121],"new":[125],"challenging":[126],"dataset":[127],"contains":[131],"occlusions":[133],"interactions":[136],"aiming":[137],"cover":[139],"relevant":[141],"aspects":[142],"tracking":[145],"systems.":[146]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-09-04T10:56:28.161419","created_date":"2016-06-24T00:00:00"}