{"id":"https://openalex.org/W2138251987","doi":"https://doi.org/10.1109/icpr.2008.4761027","title":"Intuitive event modeling for personalized behavior monitoring","display_name":"Intuitive event modeling for personalized behavior monitoring","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2138251987","doi":"https://doi.org/10.1109/icpr.2008.4761027","mag":"2138251987"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761027","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5088490247","display_name":"Ahmed Azough","orcid":"https://orcid.org/0009-0003-3811-7909"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ahmed Azough","raw_affiliation_strings":["France Telecom R and D Center","France Telecom R&D, France.#TAB#"],"affiliations":[{"raw_affiliation_string":"France Telecom R and D Center","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, France.#TAB#","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049840285","display_name":"Alexandre Delteil","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexandre Delteil","raw_affiliation_strings":["France Telecom R and D Center","France Telecom R&D, France.#TAB#"],"affiliations":[{"raw_affiliation_string":"France Telecom R and D Center","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, France.#TAB#","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109166069","display_name":"Fabien De Marchi","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabien De Marchi","raw_affiliation_strings":["University of Claude Bernard Lyon I","Claude Bernard Lyon 1 University, France"],"affiliations":[{"raw_affiliation_string":"University of Claude Bernard Lyon I","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"Claude Bernard Lyon 1 University, France","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106496020","display_name":"Mohand Said Hacid","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohand Said Hacid","raw_affiliation_strings":["University of Claude Bernard Lyon I","Claude Bernard Lyon 1 University, France"],"affiliations":[{"raw_affiliation_string":"University of Claude Bernard Lyon I","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"Claude Bernard Lyon 1 University, France","institution_ids":["https://openalex.org/I100532134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088490247"],"corresponding_institution_ids":["https://openalex.org/I19370010"],"apc_list":null,"apc_paid":null,"fwci":0.4316,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52194861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9980999827384949,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.8563312292098999},{"id":"https://openalex.org/keywords/rotation-formalisms-in-three-dimensions","display_name":"Rotation formalisms in three dimensions","score":0.742756187915802},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7425010204315186},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6750547885894775},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4651874601840973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45487886667251587},{"id":"https://openalex.org/keywords/semantic-interpretation","display_name":"Semantic interpretation","score":0.4347575008869171},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43387371301651},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33568742871284485},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10098305344581604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8563312292098999},{"id":"https://openalex.org/C171018156","wikidata":"https://www.wikidata.org/wiki/Q7370306","display_name":"Rotation formalisms in three dimensions","level":2,"score":0.742756187915802},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7425010204315186},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6750547885894775},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4651874601840973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45487886667251587},{"id":"https://openalex.org/C193125573","wikidata":"https://www.wikidata.org/wiki/Q7449065","display_name":"Semantic interpretation","level":2,"score":0.4347575008869171},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43387371301651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33568742871284485},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10098305344581604},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2008.4761027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761027","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.279","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/MoBT8.37.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01586851v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01586851","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Pattern Recognition, ICPR 2008, Dec 2008, Tampa, United States. pp.1-4, &#x27E8;10.1109/ICPR.2008.4761027&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W113614045","https://openalex.org/W1498805928","https://openalex.org/W1616983488","https://openalex.org/W1970989461","https://openalex.org/W2095650959","https://openalex.org/W2099806072","https://openalex.org/W2101508170","https://openalex.org/W2118572719","https://openalex.org/W2134286887","https://openalex.org/W2159536175","https://openalex.org/W4254767129","https://openalex.org/W6629769021","https://openalex.org/W6636507665","https://openalex.org/W6680110496"],"related_works":["https://openalex.org/W2065513458","https://openalex.org/W2949595711","https://openalex.org/W2103230313","https://openalex.org/W4294365771","https://openalex.org/W2952204366","https://openalex.org/W2787308232","https://openalex.org/W2201932108","https://openalex.org/W3161756515","https://openalex.org/W3211060392","https://openalex.org/W2050914154"],"abstract_inverted_index":{"Behavior":[0],"understanding":[1,29],"and":[2,43,88,112,126],"semantic":[3],"interpretation":[4],"of":[5,13,23,30,83,100],"dynamic":[6],"visual":[7,49],"scenes":[8],"have":[9],"attracted":[10],"a":[11,55,61],"lot":[12],"attention":[14],"in":[15,40,54,118],"computer":[16],"vision":[17],"research":[18],"community.":[19],"Although":[20],"the":[21,28,71,101,135],"use":[22],"surveillance":[24,130],"cameras":[25],"has":[26],"proliferated,":[27],"activities":[31],"still":[32],"remains":[33],"complex.":[34],"While":[35],"users":[36,77],"are":[37,131],"mostly":[38],"interested":[39],"high":[41],"level":[42,48,90,109],"subjective":[44],"semantics,":[45],"only":[46],"low":[47,89,108],"features":[50,91,110],"can":[51],"be":[52],"extracted":[53],"reliable":[56],"way.":[57],"This":[58],"paper":[59],"presents":[60],"novel":[62],"framework":[63,96],"for":[64],"video":[65,104,129],"guided":[66],"behavior":[67],"monitoring,":[68],"built":[69],"around":[70],"event":[72],"modeling":[73,125],"concept.":[74],"It":[75],"enables":[76,97],"to":[78,133],"design":[79],"their":[80],"personal":[81],"models":[82],"events":[84,102,124],"combining":[85],"elementary":[86],"concept":[87],"using":[92],"expressive":[93],"formalisms.":[94],"The":[95],"then":[98],"detection":[99,127],"within":[103],"streams":[105],"based":[106],"on":[107],"extraction":[111],"manual":[113],"annotations":[114],"analysis,":[115],"while":[116],"taking":[117],"consideration":[119],"uncertainty.":[120],"Examples":[121],"depicting":[122],"content-based":[123],"from":[128],"presented":[132],"illustrate":[134],"approach.":[136]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
