{"id":"https://openalex.org/W2049946656","doi":"https://doi.org/10.1109/iros.2012.6385744","title":"Modeling indicators of coherent motion","display_name":"Modeling indicators of coherent motion","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2049946656","doi":"https://doi.org/10.1109/iros.2012.6385744","mag":"2049946656"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2012.6385744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2012.6385744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045522443","display_name":"Zeynep Ycel","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":"Zeynep Ycel","raw_affiliation_strings":["Intelligent Robotics and Communication Laboratory of ATR International, 2-2-2 Hikaridai Keihanna Science City Kyoto 619-0288 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Robotics and Communication Laboratory of ATR International, 2-2-2 Hikaridai Keihanna Science City Kyoto 619-0288 Japan","institution_ids":["https://openalex.org/I4210104143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082041251","display_name":"Francesco Zanlungo","orcid":"https://orcid.org/0000-0002-0992-3202"},"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":"Francesco Zanlungo","raw_affiliation_strings":["Intelligent Robotics Communication Laboratory of ATR International, City Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Robotics Communication Laboratory of ATR International, City Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101701304","display_name":"Tetsushi Ikeda","orcid":"https://orcid.org/0000-0003-0865-6322"},"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":"Tetsushi Ikeda","raw_affiliation_strings":["Intelligent Robotics Communication Laboratory of ATR International, City Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Robotics Communication Laboratory of ATR International, City Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110483346","display_name":"Takahiro Miyashita","orcid":"https://orcid.org/0009-0001-1516-8565"},"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":"Takahiro Miyashita","raw_affiliation_strings":["Intelligent Robotics Communication Laboratory of ATR International, City Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Robotics Communication Laboratory of ATR International, City Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058513264","display_name":"Norihiro Hagita","orcid":"https://orcid.org/0000-0001-8007-4701"},"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":"Norihiro Hagita","raw_affiliation_strings":["Intelligent Robotics Communication Laboratory of ATR International, City Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Robotics Communication Laboratory of ATR International, City Kyoto, Japan","institution_ids":["https://openalex.org/I4210104143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210104143"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"55","issue":null,"first_page":"2134","last_page":"2140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9929999709129333,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.8464553356170654},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.6603512167930603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6430454254150391},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6014536619186401},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.46944376826286316},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.44511353969573975},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.42818087339401245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4205993711948395},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40499410033226013},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34549054503440857},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24668222665786743},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13775739073753357}],"concepts":[{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.8464553356170654},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.6603512167930603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6430454254150391},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6014536619186401},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.46944376826286316},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.44511353969573975},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.42818087339401245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4205993711948395},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40499410033226013},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34549054503440857},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24668222665786743},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13775739073753357},{"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2012.6385744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2012.6385744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1571268436","https://openalex.org/W1584562714","https://openalex.org/W1897582057","https://openalex.org/W1963649406","https://openalex.org/W2023512120","https://openalex.org/W2026972188","https://openalex.org/W2040819715","https://openalex.org/W2089584121","https://openalex.org/W2093846318","https://openalex.org/W2094438648","https://openalex.org/W2101483336","https://openalex.org/W2106418501","https://openalex.org/W2111957821","https://openalex.org/W2125114795","https://openalex.org/W2127852267","https://openalex.org/W2146183743","https://openalex.org/W2148961728","https://openalex.org/W3101207396","https://openalex.org/W4246202668","https://openalex.org/W4300223101"],"related_works":["https://openalex.org/W2145413589","https://openalex.org/W839483973","https://openalex.org/W4241657933","https://openalex.org/W3034410548","https://openalex.org/W1982640233","https://openalex.org/W4386051551","https://openalex.org/W299351354","https://openalex.org/W2018782887","https://openalex.org/W2071749707","https://openalex.org/W4389011229"],"abstract_inverted_index":{"This":[0],"study":[1,88],"focuses":[2],"on":[3],"joint":[4],"motion":[5,48],"patterns":[6],"of":[7,31,69,76,86,93,97,123,131,163],"humans":[8,14],"that":[9,156],"move":[10],"together":[11],"with":[12,111],"other":[13],"or":[15,42],"objects.":[16],"Since":[17],"this":[18,46,87],"scope":[19],"embraces":[20],"`group":[21],"motion',":[22],"which":[23],"relates":[24],"only":[25],"humans,":[26],"and":[27,72,80,145],"expands":[28],"its":[29],"extent":[30],"interactions":[32],"accounting":[33],"for":[34],"various":[35],"auxiliary":[36],"instruments":[37],"such":[38],"as":[39,50],"walking":[40],"aids":[41],"pushcarts,":[43],"we":[44],"term":[45],"collective":[47],"pattern":[49],"`coherent'":[51],"motion.":[52],"Coherence":[53],"is":[54,135],"proposed":[55,133,158],"to":[56,141,151],"be":[57],"characterized":[58],"by":[59,138,147],"the":[60,63,66,73,77,81,91,98,132,142,157,161],"distance":[61],"between":[62],"moving":[64],"parties,":[65],"scalar":[67,74],"product":[68,75],"their":[70],"velocities":[71],"velocity":[78],"vector":[79],"displacement":[82],"vector.":[83],"The":[84,105,129],"contribution":[85],"lies":[89],"in":[90,95,109,116],"formulation":[92],"coherence":[94,164],"terms":[96],"listed":[99],"features":[100],"through":[101],"explicit":[102],"mathematical":[103],"models.":[104],"models":[106,134,159],"are":[107],"developed":[108],"accordance":[110],"a":[112,121],"large":[113],"database":[114],"recorded":[115],"an":[117,152],"uncontrolled":[118],"environment":[119],"involving":[120],"total":[122],"more":[124],"than":[125],"500":[126],"mobile":[127],"entities.":[128],"performance":[130],"evaluated":[136],"qualitatively":[137],"comparing":[139],"them":[140],"empirical":[143],"data":[144],"quantitatively":[146],"employing":[148],"log-likelihoods.":[149],"Comparison":[150],"earlier":[153],"work":[154],"indicates":[155],"improve":[160],"identification":[162],"quality":[165],"significantly":[166],"well.":[167]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}