{"id":"https://openalex.org/W2164674459","doi":"https://doi.org/10.1109/iswpc.2008.4556236","title":"Tracking algorithms based on dynamics of individuals and multidimensional scaling","display_name":"Tracking algorithms based on dynamics of individuals and multidimensional scaling","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2164674459","doi":"https://doi.org/10.1109/iswpc.2008.4556236","mag":"2164674459"},"language":"en","primary_location":{"id":"doi:10.1109/iswpc.2008.4556236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswpc.2008.4556236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Symposium on Wireless Pervasive Computing","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/A5108433606","display_name":"Jos\u00e9 Mar\u00eda Cabero","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113430","display_name":"Tecnalia","ror":"https://ror.org/02fv8hj62","country_code":"ES","type":"other","lineage":["https://openalex.org/I4210113430"]},{"id":"https://openalex.org/I4210121514","display_name":"GAIKER Technology Centre","ror":"https://ror.org/02pwsw017","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210121514"]},{"id":"https://openalex.org/I4210125116","display_name":"Robotiker","ror":"https://ror.org/032v7rj83","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210125116"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Maria Cabero","raw_affiliation_strings":["ROBOTIKER-TECNALIA Technology Centre, Telecom Unit, Zamudio, Bizkaia, Spain","Telecom Unit, Robotiker-Tecnalia Research Centre, Bizkaia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ROBOTIKER-TECNALIA Technology Centre, Telecom Unit, Zamudio, Bizkaia, Spain","institution_ids":["https://openalex.org/I4210121514"]},{"raw_affiliation_string":"Telecom Unit, Robotiker-Tecnalia Research Centre, Bizkaia, Spain","institution_ids":["https://openalex.org/I4210113430","https://openalex.org/I4210125116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003508045","display_name":"Fernando De la Torre","orcid":"https://orcid.org/0000-0002-5143-3709"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fernando De la Torre","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030521415","display_name":"Galder Unibaso","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113430","display_name":"Tecnalia","ror":"https://ror.org/02fv8hj62","country_code":"ES","type":"other","lineage":["https://openalex.org/I4210113430"]},{"id":"https://openalex.org/I4210121514","display_name":"GAIKER Technology Centre","ror":"https://ror.org/02pwsw017","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210121514"]},{"id":"https://openalex.org/I4210125116","display_name":"Robotiker","ror":"https://ror.org/032v7rj83","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210125116"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Galder Unibaso","raw_affiliation_strings":["ROBOTIKER-TECNALIA Technology Centre, Telecom Unit, Zamudio, Bizkaia, Spain","Telecom Unit, Robotiker-Tecnalia Research Centre, Bizkaia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ROBOTIKER-TECNALIA Technology Centre, Telecom Unit, Zamudio, Bizkaia, Spain","institution_ids":["https://openalex.org/I4210121514"]},{"raw_affiliation_string":"Telecom Unit, Robotiker-Tecnalia Research Centre, Bizkaia, Spain","institution_ids":["https://openalex.org/I4210113430","https://openalex.org/I4210125116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022453809","display_name":"Aritz Sanchez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121514","display_name":"GAIKER Technology Centre","ror":"https://ror.org/02pwsw017","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210121514"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Aritz Sanchez","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","ROBOTIKER-TECNALIA Technology Centre, Telecom Unit, Zamudio, Bizkaia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"ROBOTIKER-TECNALIA Technology Centre, Telecom Unit, Zamudio, Bizkaia, Spain","institution_ids":["https://openalex.org/I4210121514"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3359,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67541442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"388","last_page":"395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7538846731185913},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7339094877243042},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6193934679031372},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4961872696876526},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4779358208179474},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4774470925331116},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.4619688391685486},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44606155157089233},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4303261935710907},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3451969027519226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.140663743019104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12622040510177612},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08942767977714539}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7538846731185913},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7339094877243042},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6193934679031372},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4961872696876526},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4779358208179474},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4774470925331116},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.4619688391685486},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44606155157089233},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4303261935710907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3451969027519226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.140663743019104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12622040510177612},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08942767977714539},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iswpc.2008.4556236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswpc.2008.4556236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 3rd International Symposium on Wireless Pervasive Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.307.1553","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.1553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://humansensing.cs.cmu.edu/papers/Tracking_08.pdf","raw_type":"text"},{"id":"pmh:oai:dsp.tecnalia.com:11556/1517","is_oa":false,"landing_page_url":"https://hdl.handle.net/11556/1517","pdf_url":null,"source":{"id":"https://openalex.org/S4306402037","display_name":"TECNALIA Publications (Fundaci\u00f3n TECNALIA Research & Innovation)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210113430","host_organization_name":"Tecnalia","host_organization_lineage":["https://openalex.org/I4210113430"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference output"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.49000000953674316,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1983874789","https://openalex.org/W1989651117","https://openalex.org/W2051376734","https://openalex.org/W2075194837","https://openalex.org/W2077658674","https://openalex.org/W2100456966","https://openalex.org/W2104022413","https://openalex.org/W2106048721","https://openalex.org/W2110546447","https://openalex.org/W2112737587","https://openalex.org/W2124178852","https://openalex.org/W2128624998","https://openalex.org/W2130137998","https://openalex.org/W2132632442","https://openalex.org/W2145417574","https://openalex.org/W2154020241","https://openalex.org/W2167642049","https://openalex.org/W2170102584","https://openalex.org/W2479500547","https://openalex.org/W4212997115","https://openalex.org/W4250657479","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4200285273","https://openalex.org/W2374778813","https://openalex.org/W1582127415","https://openalex.org/W2012281976","https://openalex.org/W4238212629","https://openalex.org/W2003051771","https://openalex.org/W141820298","https://openalex.org/W4245539973","https://openalex.org/W4241372895","https://openalex.org/W1987220361"],"abstract_inverted_index":{"Accurate":[0],"location":[1],"of":[2,8,24,38,41,54,138,167],"people":[3,30],"is":[4,106,125,129,143],"a":[5,52,111,135,148],"key":[6],"aspect":[7],"many":[9],"applications":[10],"such":[11],"as":[12],"resource":[13],"management":[14],"or":[15,62],"security.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,74],"explore":[21],"the":[22,80,153,163,168],"use":[23],"radio":[25,42],"communication":[26],"technologies":[27],"to":[28,157],"track":[29],"based":[31,100],"on":[32,79,101],"their":[33],"dynamics.":[34,159],"The":[35],"network":[36],"consists":[37],"two":[39,83],"types":[40],"nodes:":[43],"static":[44],"nodes":[45,49,66,142],"(anchors)":[46],"and":[47,67,95,127,165],"mobile":[48],"(individuals).":[50],"From":[51],"set":[53],"sparse":[55],"dissimilarity":[56],"matrices":[57],"with":[58,91],"information":[59,81,124],"about":[60],"proximity":[61],"estimated":[63],"distances":[64,139],"between":[65,140],"individualspsila":[68,76,158],"dynamics":[69],"at":[70],"each":[71],"time":[72],"instant,":[73],"infer":[75],"trajectories.":[77],"Depending":[78],"available,":[82],"algorithms":[84,146],"are":[85],"proposed:":[86],"dynamic":[87,96,149],"weighted":[88,97],"multidimensional":[89,98],"scaling":[90,99],"binary":[92,112],"filter":[93,113],"(DWMDS-BF)":[94],"distance":[102],"estimations":[103],"(DWMDS-DE).":[104],"DWMDS-BF":[105],"an":[107],"algorithm":[108],"that":[109,115,151],"implements":[110],"function":[114],"obtains":[116],"very":[117],"good":[118,136],"tracking":[119],"results":[120],"when":[121],"only":[122],"connectivity":[123],"available":[126],"DWMDS-DE":[128],"designed":[130],"for":[131],"those":[132],"networks":[133],"where":[134],"estimation":[137],"nearby":[141],"available.":[144],"Both":[145],"implement":[147],"component":[150],"regularizes":[152],"obtained":[154],"trajectories":[155],"according":[156],"Extensive":[160],"simulations":[161],"show":[162],"effectiveness":[164],"robustness":[166],"proposed":[169],"algorithms.":[170]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}