{"id":"https://openalex.org/W1971932063","doi":"https://doi.org/10.1109/icsmc.2012.6378292","title":"A series of stochastic models for human behavior analysis","display_name":"A series of stochastic models for human behavior analysis","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W1971932063","doi":"https://doi.org/10.1109/icsmc.2012.6378292","mag":"1971932063"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2012.6378292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2012.6378292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5058861287","display_name":"Thi Thi Zin","orcid":null},"institutions":[{"id":"https://openalex.org/I317356780","display_name":"Osaka City University","ror":"https://ror.org/02skfsw40","country_code":"JP","type":"education","lineage":["https://openalex.org/I317356780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Thi Thi Zin","raw_affiliation_strings":["Graduate School of Engineering, Osaka City University, Osaka, Japan","[Graduate School of Engineering, Osaka City University, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka City University, Osaka, Japan","institution_ids":["https://openalex.org/I317356780"]},{"raw_affiliation_string":"[Graduate School of Engineering, Osaka City University, Japan]","institution_ids":["https://openalex.org/I317356780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023940062","display_name":"Pyke Tin","orcid":"https://orcid.org/0000-0002-3623-2984"},"institutions":[{"id":"https://openalex.org/I317356780","display_name":"Osaka City University","ror":"https://ror.org/02skfsw40","country_code":"JP","type":"education","lineage":["https://openalex.org/I317356780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Pyke Tin","raw_affiliation_strings":["Graduate School of Engineering, Osaka City University, Osaka, Japan","[Graduate School of Engineering, Osaka City University, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka City University, Osaka, Japan","institution_ids":["https://openalex.org/I317356780"]},{"raw_affiliation_string":"[Graduate School of Engineering, Osaka City University, Japan]","institution_ids":["https://openalex.org/I317356780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110260923","display_name":"Takashi Toriu","orcid":null},"institutions":[{"id":"https://openalex.org/I317356780","display_name":"Osaka City University","ror":"https://ror.org/02skfsw40","country_code":"JP","type":"education","lineage":["https://openalex.org/I317356780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Toriu","raw_affiliation_strings":["Graduate School of Engineering, Osaka City University, Osaka, Japan","[Graduate School of Engineering, Osaka City University, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka City University, Osaka, Japan","institution_ids":["https://openalex.org/I317356780"]},{"raw_affiliation_string":"[Graduate School of Engineering, Osaka City University, Japan]","institution_ids":["https://openalex.org/I317356780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110825185","display_name":"Hiromitsu Hama","orcid":null},"institutions":[{"id":"https://openalex.org/I317356780","display_name":"Osaka City University","ror":"https://ror.org/02skfsw40","country_code":"JP","type":"education","lineage":["https://openalex.org/I317356780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiromitsu Hama","raw_affiliation_strings":["Research Center for Industry Innovation, Osaka City University, Osaka, Japan","Research Center for Industry Innovation, Osaka City University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Industry Innovation, Osaka City University, Osaka, Japan","institution_ids":["https://openalex.org/I317356780"]},{"raw_affiliation_string":"Research Center for Industry Innovation, Osaka City University, Japan","institution_ids":["https://openalex.org/I317356780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I317356780"],"apc_list":null,"apc_paid":null,"fwci":0.2256,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40698723,"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":"3251","last_page":"3256"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9908999800682068,"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/markov-chain","display_name":"Markov chain","score":0.6947304010391235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.687096118927002},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.6860443353652954},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6646238565444946},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6093041896820068},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.5836249589920044},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.5498924851417542},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5292277336120605},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.4839937686920166},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4666239023208618},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.462586373090744},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.45869511365890503},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3524174690246582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3049788475036621},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27777382731437683},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22804972529411316},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12046560645103455},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06846052408218384}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6947304010391235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687096118927002},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6860443353652954},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6646238565444946},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6093041896820068},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.5836249589920044},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.5498924851417542},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5292277336120605},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.4839937686920166},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4666239023208618},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.462586373090744},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.45869511365890503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3524174690246582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3049788475036621},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27777382731437683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22804972529411316},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12046560645103455},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06846052408218384},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2012.6378292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2012.6378292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1496723695","https://openalex.org/W1598790291","https://openalex.org/W1983705368","https://openalex.org/W1986912999","https://openalex.org/W2048444246","https://openalex.org/W2060068662","https://openalex.org/W2089787742","https://openalex.org/W2102625004","https://openalex.org/W2118572719","https://openalex.org/W2119004998","https://openalex.org/W2124658620","https://openalex.org/W2138092272","https://openalex.org/W2156094107","https://openalex.org/W2159197181","https://openalex.org/W2160517719","https://openalex.org/W2492840860","https://openalex.org/W2540234126","https://openalex.org/W4247760752","https://openalex.org/W6677921164","https://openalex.org/W6678780061","https://openalex.org/W6680470121"],"related_works":["https://openalex.org/W2082284720","https://openalex.org/W2116722627","https://openalex.org/W2379938888","https://openalex.org/W2537260108","https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2194396582","https://openalex.org/W2316449557","https://openalex.org/W2799426416","https://openalex.org/W2003247472"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,107],"propose":[4],"a":[5,14,21,26,34,66,73,105,110,133],"new":[6],"approach":[7,85],"to":[8,94],"analyze":[9],"human":[10,117],"behaviors":[11],"by":[12,65],"using":[13],"series":[15,74,106],"of":[16,20,69,75,116,123],"stochastic":[17,70,76,92],"models":[18,77,93,103],"composed":[19],"Bivariate":[22],"Gamma":[23],"Markov":[24,37],"model,":[25],"two":[27,130],"dimensional":[28],"correlated":[29],"Random":[30],"Walk":[31],"model":[32,62,112],"and":[33,56,121,136],"finite":[35],"state":[36],"Chain":[38],"model.":[39],"Specifically,":[40],"the":[41,79,114,124],"proposed":[42,125],"method":[43,126],"contains":[44],"three":[45],"modules":[46],"namely:":[47],"(i)":[48],"image":[49],"analysis":[50,54,59,82,115],"module,":[51],"(ii)":[52],"probability":[53],"module":[55,64],"(iii)":[57],"event":[58],"module.":[60],"We":[61],"each":[63],"special":[67],"type":[68],"processes":[71],"forming":[72],"for":[78,113],"complete":[80],"behavior":[81,97],"system.":[83],"This":[84],"is":[86],"more":[87],"effective":[88],"in":[89,104],"utilizing":[90],"modular":[91,102],"describe":[95],"complex":[96],"patterns.":[98],"By":[99],"assembling":[100],"these":[101],"can":[108],"design":[109],"robust":[111],"behaviors.":[118],"The":[119],"feasibility":[120],"effectiveness":[122],"are":[127],"tested":[128],"on":[129],"different":[131],"datasets:":[132],"self-collected":[134],"dataset":[135],"PETS":[137],"2006":[138],"dataset.":[139]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}