{"id":"https://openalex.org/W3151878354","doi":"https://doi.org/10.1109/iccv.2003.1238638","title":"Markov-based failure prediction for human motion analysis","display_name":"Markov-based failure prediction for human motion analysis","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W3151878354","doi":"https://doi.org/10.1109/iccv.2003.1238638","mag":"3151878354"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2003.1238638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2003.1238638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Ninth IEEE International Conference on Computer Vision","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/A5096966059","display_name":"Dockstader","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dockstader","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096936744","display_name":"Imennov","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Imennov","raw_affiliation_strings":["Department of Biomedical Engineering, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102393603","display_name":"Tekalp","orcid":null},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]},{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["TR","US"],"is_corresponding":false,"raw_author_name":"Tekalp","raw_affiliation_strings":["College of Engineering, Ko\u00e7 University, Istanbul, Turkey","Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Ko\u00e7 University, Istanbul, Turkey","institution_ids":["https://openalex.org/I1351752"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.35138758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"1283","last_page":"1288 vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983999729156494,"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":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9957000017166138,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.8974652290344238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6950439810752869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6118291616439819},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5235882997512817},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5182878375053406},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.5182130932807922},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5168653130531311},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4812728762626648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47528234124183655},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4635334312915802},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.4298493266105652},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3780944049358368},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20313146710395813},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0941934883594513},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07062870264053345}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8974652290344238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6950439810752869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6118291616439819},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5235882997512817},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5182878375053406},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.5182130932807922},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5168653130531311},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4812728762626648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47528234124183655},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4635334312915802},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.4298493266105652},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3780944049358368},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20313146710395813},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0941934883594513},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07062870264053345},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv.2003.1238638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2003.1238638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Ninth IEEE International Conference on Computer Vision","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":20,"referenced_works":["https://openalex.org/W58677938","https://openalex.org/W1910567995","https://openalex.org/W1963825892","https://openalex.org/W1982791983","https://openalex.org/W2052497232","https://openalex.org/W2105351356","https://openalex.org/W2116494851","https://openalex.org/W2120701504","https://openalex.org/W2121272060","https://openalex.org/W2125838338","https://openalex.org/W2131708850","https://openalex.org/W2134303337","https://openalex.org/W2144613618","https://openalex.org/W2161406034","https://openalex.org/W2165015956","https://openalex.org/W2169982775","https://openalex.org/W2999617985","https://openalex.org/W3107771780","https://openalex.org/W6602384225","https://openalex.org/W6675775575"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2294335174","https://openalex.org/W2025614924","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2015376728","https://openalex.org/W2133068558","https://openalex.org/W1944462942"],"abstract_inverted_index":{"This":[0,40],"paper":[1],"presents":[2],"a":[3,23,35,64,75,89],"new":[4],"method":[5],"of":[6,48,69,83,104],"detecting":[7],"and":[8,18,29,93],"predicting":[9],"motion":[10,17],"tracking":[11,24,49,95],"failures":[12],"with":[13],"applications":[14],"in":[15],"human":[16,71,106],"gait":[19],"analysis.":[20],"We":[21,51,73],"define":[22],"failure":[25],"as":[26,86],"an":[27],"event":[28],"describe":[30],"its":[31],"temporal":[32],"characteristics":[33],"using":[34,45,58,88],"hidden":[36],"Markov":[37],"model":[38,42,68],"(HMM).":[39],"stochastic":[41],"is":[43],"trained":[44],"previous":[46],"examples":[47],"failures.":[50,96],"derive":[52],"vector":[53],"observations":[54],"for":[55],"the":[56,59,70,79,84],"HMM":[57],"noise":[60],"covariance":[61],"matrices":[62],"characterizing":[63],"tracked,":[65],"3D":[66],"structural":[67],"body.":[72],"show":[74],"causal":[76],"relationship":[77],"between":[78],"conditional":[80],"output":[81],"probability":[82],"HMM,":[85],"transformed":[87],"logarithmic":[90],"mapping":[91],"function,":[92],"impending":[94],"Results":[97],"are":[98],"illustrated":[99],"on":[100],"several":[101],"multi-view":[102],"sequences":[103],"complex":[105],"motion.":[107]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
